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ORCIDThomas Seel
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- affiliation: Leibniz Universität Hannover, Hanover, Germany
- affiliation (former): TU Berlin, Germany
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Journal Articles
- 2024
[j31]Daniel Weber, Clemens Gühmann
, Thomas Seel:
FranSys - A Fast Non-Autoregressive Recurrent Neural Network for Multi-Step Ahead Prediction. IEEE Access 12: 145130-145147 (2024)- [j30]Philipp Rostalski, Thomas Schanze, Thomas Seel:
Special issue AUTOMED. Autom. 72(5): 387-388 (2024) - [j29]Alexander Pawluchin, Michael Meindl, Ive Weygers, Thomas Seel, Ivo Boblan:
Gaussian process-based nonlinearity compensation for pneumatic soft actuators. Autom. 72(5): 440-448 (2024) - [j28]Tim-Lukas Habich, Jonas Haack, Mehdi Belhadj, Dustin Lehmann, Thomas Seel, Moritz Schappler:
SPONGE: Open-Source Designs of Modular Articulated Soft Robots. IEEE Robotics Autom. Lett. 9(6): 5346-5353 (2024) - [j27]Jan-Hendrik Ewering, Christoph Schwarz, Simon F. G. Ehlers, Hans-Georg Jacob, Thomas Seel, Andreas Heckmann:
Integrated Model Predictive Control of High-Speed Railway Running Gears With Driven Independently Rotating Wheels. IEEE Trans. Veh. Technol. 73(6): 7852-7865 (2024) - 2023
- [j26]Simon Bachhuber, Ive Weygers, Thomas Seel:
Neural ODEs for Data-Driven Automatic Self-Design of Finite-Time Output Feedback Control for Unknown Nonlinear Dynamics. IEEE Control. Syst. Lett. 7: 3048-3053 (2023) - [j25]Daniel Laidig, Thomas Seel:
VQF: Highly accurate IMU orientation estimation with bias estimation and magnetic disturbance rejection. Inf. Fusion 91: 187-204 (2023) - [j24]Adwait Sharma, Christina Salchow-Hömmen, Vimal Suresh Mollyn, Aditya Shekhar Nittala, Michael A. Hedderich, Marion Koelle, Thomas Seel, Jürgen Steimle:
SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures. ACM Trans. Comput. Hum. Interact. 30(3): 39:1-39:40 (2023) - 2022
- [j23]Georg Rauter, Thomas Seel, Philipp Rostalski:
Special issue: AUTOMED 2021: Automation in Medical Technology. Autom. 70(11): 933-934 (2022) - [j22]Vicent Rodrigo Marco, Jens C. Kalkkuhl, Jörg Raisch, Thomas Seel:
Regularized adaptive Kalman filter for non-persistently excited systems. Autom. 138: 110147 (2022) - [j21]Michael Meindl, Dustin Lehmann, Thomas Seel:
Bridging Reinforcement Learning and Iterative Learning Control: Autonomous Motion Learning for Unknown, Nonlinear Dynamics. Frontiers Robotics AI 9 (2022) - [j20]Roushanak Haji Hassani, Romina Willi, Georg Rauter, Marc Bolliger, Thomas Seel:
Validation of Non-Restrictive Inertial Gait Analysis of Individuals with Incomplete Spinal Cord Injury in Clinical Settings. Sensors 22(11): 4237 (2022) - [j19]Daniel Laidig, Ive Weygers, Thomas Seel:
Self-Calibrating Magnetometer-Free Inertial Motion Tracking of 2-DoF Joints. Sensors 22(24): 9850 (2022) - [j18]Michael Meindl, Fabio Molinari, Dustin Lehmann, Thomas Seel:
Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks. IEEE Trans. Control. Syst. Technol. 30(4): 1390-1402 (2022) - 2021
- [j17]Daniel Laidig, Marco Caruso, Andrea Cereatti, Thomas Seel:
BROAD - A Benchmark for Robust Inertial Orientation Estimation. Data 6(7): 72 (2021) - [j16]Daniel Laidig, Andreas J. Jocham, Bernhard Guggenberger, Klemens Adamer, Michael Fischer, Thomas Seel:
Calibration-Free Gait Assessment by Foot-Worn Inertial Sensors. Frontiers Digit. Health 3: 736418 (2021) - [j15]Vicent Rodrigo Marco, Jens Kalkkuhl, Jörg Raisch, Thomas Seel:
A Novel IMU Extrinsic Calibration Method for Mass Production Land Vehicles. Sensors 21(1): 7 (2021) - [j14]Marco Caruso, Angelo Maria Sabatini, Daniel Laidig, Thomas Seel, Marco Knaflitz, Ugo Della Croce, Andrea Cereatti:
Analysis of the Accuracy of Ten Algorithms for Orientation Estimation Using Inertial and Magnetic Sensing under Optimal Conditions: One Size Does Not Fit All. Sensors 21(7): 2543 (2021) - 2020
- [j13]Christina Mittag, Regina Leiss, Katharina Lorenz, Thomas Seel:
Development of a home-based wrist range-of-motion training system for children with cerebral palsy. Autom. 68(11): 967-977 (2020) - [j12]Jonas Beuchert, Friedrich Solowjow, Jörg Raisch, Sebastian Trimpe, Thomas Seel:
Hierarchical Event-Triggered Learning for Cyclically Excited Systems With Application to Wireless Sensor Networks. IEEE Control. Syst. Lett. 4(1): 103-108 (2020) - [j11]Arne Passon, Thomas Schauer, Thomas Seel:
Inertial-Robotic Motion Tracking in End-Effector-Based Rehabilitation Robots. Frontiers Robotics AI 7: 554639 (2020) - [j10]Jonas Beuchert, Friedrich Solowjow, Sebastian Trimpe, Thomas Seel:
Overcoming Bandwidth Limitations in Wireless Sensor Networks by Exploitation of Cyclic Signal Patterns: An Event-triggered Learning Approach. Sensors 20(1): 260 (2020) - [j9]Fredrik Olsson, Manon Kok, Thomas Seel, Kjartan Halvorsen:
Robust Plug-and-Play Joint Axis Estimation Using Inertial Sensors. Sensors 20(12): 3534 (2020) - [j8]Thomas Seel, Manon Kok, Ryan S. McGinnis:
Inertial Sensors - Applications and Challenges in a Nutshell. Sensors 20(21): 6221 (2020) - 2019
- [j7]Christina Salchow-Hömmen, Leonie Callies, Daniel Laidig, Markus Valtin, Thomas Schauer, Thomas Seel:
A Tangible Solution for Hand Motion Tracking in Clinical Applications. Sensors 19(1): 208 (2019) - 2017
- [j6]Thomas Seel, Thomas Schauer, Jörg Raisch:
Monotonic convergence of iterative learning control systems with variable pass length. Int. J. Control 90(3): 393-406 (2017) - [j5]Philipp Müller, Marc-Andre Begin, Thomas Schauer, Thomas Seel:
Alignment-Free, Self-Calibrating Elbow Angles Measurement Using Inertial Sensors. IEEE J. Biomed. Health Informatics 21(2): 312-319 (2017) - 2016
- [j4]Johannes Schiffer, Thomas Seel, Jörg Raisch, Tevfik Sezi:
Voltage Stability and Reactive Power Sharing in Inverter-Based Microgrids With Consensus-Based Distributed Voltage Control. IEEE Trans. Control. Syst. Technol. 24(1): 96-109 (2016) - 2015
- [j3]Thomas Seel, Sarah Schneider, Klaus Affeld, Thomas Schauer:
Entwurf einer lernenden Kaskadenregelung für ein nichtinvasives kontinuierliches Blutdruckmesssystem. Autom. 63(1): 5-13 (2015) - 2014
- [j2]Thomas Seel, Jörg Raisch, Thomas Schauer:
IMU-Based Joint Angle Measurement for Gait Analysis. Sensors 14(4): 6891-6909 (2014) - 2013
- [j1]Thomas Seel, Thomas Schauer, Jörg Raisch:
Iterativ Lernende Regelung mit variabler Zykluslänge für FES-basierte Kompensation einer Fußheberschwäche / Iterative Learning Control with Variable Pass Length applied to FES-based Drop Foot Treatment. Autom. 61(9): 630-637 (2013)
Conference and Workshop Papers
- 2024
- [c41]Sontje Ihler, Felix Kuhnke, Timo Kuhlgatz, Thomas Seel:
Distribution-Aware Multi-Label FixMatch for Semi-Supervised Learning on CheXpert. CVPR Workshops 2024: 2295-2304 - [c40]Manuel Weiss, Andrew Stirling, Alexander Pawluchin, Dustin Lehmann, Yannis Hannemann, Thomas Seel, Ivo Boblan:
Achieving Velocity Tracking Despite Model Uncertainty for a Quadruped Robot with a PD-ILC Controller. ECC 2024: 134-140 - [c39]Jan-Hendrik Ewering, Zygimantas Ziaukas, Simon F. G. Ehlers, Thomas Seel:
Reliable State Estimation in a Truck-Semitrailer Combination Using an Artificial Neural Network-Aided Extended Kalman Filter. ECC 2024: 456-463 - [c38]Dennis Bank, Daniel Fink, Simon F. G. Ehlers, Thomas Seel:
Neural Network-Based Prediction of Vehicle Energy Consumption on Highways. ECC 2024: 711-717 - [c37]Michael Meindl, Ferdinand Campe, Dustin Lehmann, Thomas Seel:
Solving Motion Tasks with Challenging Dynamics by Combining Kinodynamic Motion Planning and Iterative Learning Control. ECC 2024: 1208-1213 - [c36]Maximilian Mehl, Max Bartholdt, Simon F. G. Ehlers, Thomas Seel, Moritz Schappler:
Adaptive State Estimation with Constant-Curvature Dynamics Using Force-Torque Sensors with Application to a Soft Pneumatic Actuator. ICRA 2024: 14939-14945 - [c35]Martin Bensch, Tim-David Job, Tim-Lukas Habich, Thomas Seel, Moritz Schappler:
Physics-Informed Neural Networks for Continuum Robots: Towards Fast Approximation of Static Cosserat Rod Theory. ICRA 2024: 17293-17299 - [c34]Nicolas Lampe, Simon F. G. Ehlers, Karl-Philipp Kortmann, Clemens Westerkamp, Thomas Seel:
Model-Based Maximum Friction Coefficient Estimation for Road Surfaces with Gradient or Cross-Slope. IV 2024: 2141-2147 - 2023
- [c33]Dustin Lehmann, Philipp Drebinger, Thomas Seel, Jörg Raisch:
Data-Driven Dynamic Input Transfer for Learning Control in Multi-Agent Systems with Heterogeneous Unknown Dynamics. CDC 2023: 2358-2365 - [c32]Aran Mohammad, Hendrik Muscheid, Moritz Schappler, Thomas Seel:
Quantifying Uncertainties of Contact Classifications in a Human-Robot Collaboration with Parallel Robots. HFR 2023: 137-150 - [c31]Jorge Badilla-Solórzano, Nils-Claudius Gellrich, Thomas Seel, Sontje Ihler:
Modular, Label-Efficient Dataset Generation for Instrument Detection for Robotic Scrub Nurses. DALI@MICCAI 2023: 95-105 - 2022
- [c30]Simon Bachhuber, Daniel Weber, Ive Weygers, Thomas Seel:
RNN-based Observability Analysis for Magnetometer-Free Sparse Inertial Motion Tracking. FUSION 2022: 1-8 - [c29]Daniel Laidig, Ive Weygers, Simon Bachhuber, Thomas Seel:
VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation. FUSION 2022: 1-6 - [c28]Lorenz Halt, Michael Meindl, Victor Bayer, Werner Kraus, Thomas Seel:
Autonomous Cycle Time Reduction of Robotic Tasks Using Iterative Learning Control. IROS 2022: 12405-12411 - 2020
- [c27]Daniel Weber, Clemens Gühmann, Thomas Seel:
Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation. FUSION 2020: 1-8 - [c26]Vittorio Lippi, Kai Günter Brands, Thomas Seel:
Real-time Implementation and Evaluation of Magnetometerless Tracking System for Human and Humanoid Posture Control Benchmarking based on Inertial Sensors. ICINCO 2020: 675-680 - [c25]Aaron Grapentin, Dustin Lehmann, Ardjola Zhupa, Thomas Seel:
Sparse Magnetometer-Free Real-Time Inertial Hand Motion Tracking. MFI 2020: 94-100 - [c24]Jan Hendrik Freter, Thomas Seel, Christoph Elfert, Dietmar Göhlich:
Motion Estimation for Tethered Airfoils with Tether Sag. MFI 2020: 114-120 - 2019
- [c23]Lorenz Halt, Fengjunjie Pan, Philipp Tenbrock, Andreas Pott, Thomas Seel:
A Transferable Force Controller based on Prescribed Performance for Contact Establishment in Robotic Assembly Tasks. CASE 2019: 830-835 - [c22]Daniel Laidig, Dustin Lehmann, Marc-André Bégin, Thomas Seel:
Magnetometer-free Realtime Inertial Motion Tracking by Exploitation of Kinematic Constraints in 2-DoF Joints. EMBC 2019: 1233-1238 - [c21]Vittorio Lippi, Fabio Molinari, Thomas Seel:
Distributed Bio-inspired Humanoid Posture Control. EMBC 2019: 5360-5365 - [c20]Marcelline Dechenaud, Daniel Laidig, Thomas Seel, Hunter B. Gilbert, Nikita A. Kuznetsov:
Development of Adapted Guitar to Improve Motor Function After Stroke: Feasibility Study in Young Adults. EMBC 2019: 5488-5493 - [c19]Mirco Martens, Johannes Zawatzki, Thomas Seel, Ivo Boblan:
A pneumatic-muscle-actuator-driven knee rehabilitation device for CAM therapy. EMBC 2019: 6237-6242 - [c18]Johannes Betz, Christoph Klingspor, Thomas Seel:
IMU-based Assessment of Ankle Inversion Kinematics and Orthosis Migration. EMBC 2019: 6395-6400 - [c17]Tianyi Zhang, Daniel Laidig, Thomas Seel:
Stop Repeating Yourself: Exploitation of Repetitive Signal Patterns to Reduce Communication Load in Sensor Networks. ECC 2019: 2893-2898 - [c16]Danny Nowka, Manon Kok, Thomas Seel:
On Motions That Allow for Identification of Hinge Joint Axes from Kinematic Constraints and 6D IMU Data. ECC 2019: 4325-4331 - [c15]Fredrik Olsson, Thomas Seel, Dustin Lehmann, Kjartan Halvorsen:
Joint Axis Estimation for Fast and Slow Movements Using Weighted Gyroscope and Acceleration Constraints. FUSION 2019: 1-8 - [c14]Vittorio Lippi, Thomas Mergner, Thomas Seel, Christoph Maurer:
COMTEST Project: A Complete Modular Test Stand for Human and Humanoid Posture Control and Balance. Humanoids 2019: 630-635 - 2018
- [c13]Arne Passon, Thomas Schauer, Thomas Seel:
Hybrid Inertial-Robotic Motion Tracking for Posture Biofeedback in Upper Limb Rehabilitation. BioRob 2018: 1163-1168 - [c12]Jonas Beuchert, Jnrg Raischl, Thomas Seel:
Design of an iterative learning control with a selective learning strategy for swinging up a pendulum. ECC 2018: 3137-3142 - [c11]Marco Molnar, Manon Kok, Tilman Engel, Hannes Kaplick, Frank Mayer, Thomas Seel:
A Method for Lower Back Motion Assessment Using Wearable 6D Inertial Sensors. FUSION 2018: 799-806 - [c10]Arne Passon, Thomas Seel, Jonas Massmann, Thomas Schauer, Chris Freernan:
Iterative Learning Vector Field for FES-Supported Cyclic Upper Limb Movements in Combination with Robotic Weight Compensation. IROS 2018: 5169-5174 - [c9]Mirco Martens, Thomas Seel, Ivo Boblan:
A Decoupling Servo Pressure Controller for Pneumatic Muscle Actuators. MMAR 2018: 286-291 - 2017
- [c8]Daniel Laidig, Thomas Schauer, Thomas Seel:
Exploiting kinematic constraints to compensate magnetic disturbances when calculating joint angles of approximate hinge joints from orientation estimates of inertial sensors. ICORR 2017: 971-976 - 2016
- [c7]Philipp Müller, Marc-Andre Begin, Thomas Schauer, Thomas Seel:
Alignment-free, self-calibrating elbow angles measurement using inertial sensors. BHI 2016: 583-586 - [c6]Mirjana Ruppel, Thomas Seel, Sanja Dogramadzi:
Development of a novel functional electrical stimulation system for hand rehabilitation using feedback control. BioRob 2016: 1135-1139 - 2014
- [c5]Johannes Schiffer, Thomas Seel, Jörg Raisch, Tevfik Sezi:
A consensus-based distributed voltage control for reactive power sharing in microgrids. ECC 2014: 1299-1305 - [c4]Thomas Seel, Daniel Laidig, Markus Valtin, Cordula Werner, Jörg Raisch, Thomas Schauer:
Feedback control of foot eversion in the adaptive peroneal stimulator. MED 2014: 1482-1487 - 2013
- [c3]Mickael Guth, Thomas Seel, Jörg Raisch:
Iterative Learning Control with variable pass length applied to trajectory tracking on a crane with output constraints. CDC 2013: 6676-6681 - [c2]Thomas Seel, Thomas Schauer, Sarah Weber, Klaus Affeld:
Iterative Learning Cascade Control of Continuous Noninvasive Blood Pressure Measurement. SMC 2013: 2207-2212 - 2012
- [c1]Thomas Seel, Thomas Schauer, Jörg Raisch:
Joint axis and position estimation from inertial measurement data by exploiting kinematic constraints. CCA 2012: 45-49
Informal and Other Publications
- 2024
- [i27]Michael Meindl, Simon Bachhuber, Thomas Seel:
AI-MOLE: Autonomous Iterative Motion Learning for Unknown Nonlinear Dynamics with Extensive Experimental Validation. CoRR abs/2404.06179 (2024) - [i26]Tim-Lukas Habich, Jonas Haack, Mehdi Belhadj, Dustin Lehmann, Thomas Seel, Moritz Schappler:
SPONGE: Open-Source Designs of Modular Articulated Soft Robots. CoRR abs/2404.10734 (2024) - [i25]Jan-Hendrik Ewering, Zygimantas Ziaukas, Simon F. G. Ehlers, Thomas Seel:
Reliable State Estimation in a Truck-Semitrailer Combination using an Artificial Neural Network-Aided Extended Kalman Filter. CoRR abs/2406.14028 (2024) - [i24]Simon Bachhuber, Alexander Pawluchin, Arka Pal, Ivo Boblan, Thomas Seel:
A Soft Robotic System Automatically Learns Precise Agile Motions Without Model Information. CoRR abs/2408.03754 (2024) - [i23]Henrik Krauss, Tim-Lukas Habich, Max Bartholdt, Thomas Seel, Moritz Schappler:
Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems. CoRR abs/2408.14951 (2024) - [i22]Aran Mohammad, Thomas Seel, Moritz Schappler:
Towards Optimized Parallel Robots for Human-Robot Collaboration by Combined Structural and Dimensional Synthesis. CoRR abs/2408.15831 (2024) - [i21]Simon Bachhuber, Ive Weygers, Thomas Seel:
Dispelling Four Challenges in Inertial Motion Tracking with One Recurrent Inertial Graph-based Estimator (RING). CoRR abs/2409.02502 (2024) - [i20]Michael Meindl, Raphael Mönkemöller, Thomas Seel:
Autonomous Iterative Motion Learning (AI-MOLE) of a SCARA Robot for Automated Myocardial Injection. CoRR abs/2409.06361 (2024) - [i19]Jan-Hendrik Ewering, Björn Volkmann, Simon F. G. Ehlers, Thomas Seel, Michael Meindl:
Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline. CoRR abs/2409.09331 (2024) - [i18]Dennis Bank, Simon F. G. Ehlers, Karl-Philipp Kortmann, Zeller Tobias, Cujic Patrick, Thomas Seel:
Predictive Energy Management for Recuperation Axles in Refrigerated Trailers. CoRR abs/2409.10414 (2024) - 2023
- [i17]Aran Mohammad, Hendrik Muscheid, Moritz Schappler, Thomas Seel:
Quantifying Uncertainties of Contact Classifications in a Human-Robot Collaboration with Parallel Robots. CoRR abs/2308.09675 (2023) - [i16]Jan-Hendrik Ewering, Christoph Schwarz, Simon F. G. Ehlers, Hans-Georg Jacob, Thomas Seel, Andreas Heckmann:
Integrated Model Predictive Control of High-Speed Railway Running Gears with Driven Independently Rotating Wheels. CoRR abs/2309.09769 (2023) - 2022
- [i15]Daniel Laidig, Thomas Seel:
VQF: Highly Accurate IMU Orientation Estimation with Bias Estimation and Magnetic Disturbance Rejection. CoRR abs/2203.17024 (2022) - 2021
- [i14]Manon Kok, Karsten Eckhoff, Ive Weygers, Thomas Seel:
Observability of the relative motion from inertial data in kinematic chains. CoRR abs/2102.02675 (2021) - [i13]Daniel Weber, Clemens Gühmann, Thomas Seel:
Robust Neural Networks Outperform Attitude Estimation Filters. CoRR abs/2104.07391 (2021) - [i12]Michael Meindl, Fabio Molinari, Dustin Lehmann, Thomas Seel:
Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks. CoRR abs/2104.07620 (2021) - [i11]Vittorio Lippi, Thomas Mergner, Thomas Seel, Christoph Maurer:
COMTEST Project: A Complete Modular Test Stand for Human and Humanoid Posture Control and Balance. CoRR abs/2104.11935 (2021) - 2020
- [i10]Dustin Lehmann, Daniel Laidig, Raphael Deimel, Thomas Seel:
Magnetometer-free inertial motion tracking of arbitrary joints with range of motion constraints. CoRR abs/2002.00639 (2020) - [i9]Michael Meindl, Fabio Molinari, Jörg Raisch, Thomas Seel:
Overcoming Output Constraints in Iterative Learning Control Systems by Reference Adaptation. CoRR abs/2002.00662 (2020) - [i8]Karsten Eckhoff, Manon Kok, Sergio Lucia, Thomas Seel:
Sparse Magnetometer-free Inertial Motion Tracking - A Condition for Observability in Double Hinge Joint Systems. CoRR abs/2002.00902 (2020) - [i7]Lia Strenge, Xiaohan Jing, Ruth Boersma, Paul Schultz, Frank Hellmann, Jürgen Kurths, Jörg Raisch, Thomas Seel:
Iterative learning control in prosumer-based microgrids with hierarchical control. CoRR abs/2003.11806 (2020) - [i6]Friedrich Solowjow, Dominik Baumann, Christian Fiedler, Andreas Jocham, Thomas Seel, Sebastian Trimpe:
A Kernel Two-sample Test for Dynamical Systems. CoRR abs/2004.11098 (2020) - [i5]Daniel Weber, Clemens Gühmann, Thomas Seel:
Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation. CoRR abs/2005.06897 (2020) - 2019
- [i4]Fredrik Olsson, Thomas Seel, Dustin Lehmann, Kjartan Halvorsen:
Joint axis estimation for fast and slow movements using weighted gyroscope and acceleration constraints. CoRR abs/1903.07353 (2019) - [i3]Vittorio Lippi, Fabio Molinari, Thomas Seel:
Distributed Bio-inspired Humanoid Posture Control. CoRR abs/1904.10843 (2019) - [i2]Jonas Beuchert, Friedrich Solowjow, Jörg Raisch, Sebastian Trimpe, Thomas Seel:
Hierarchical Event-triggered Learning for Cyclically Excited Systems with Application to Wireless Sensor Networks. CoRR abs/1906.03211 (2019) - 2018
- [i1]Zenit Music, Fabio Molinari, Sebastian Gallenmüller, Onur Ayan, Samuele Zoppi, Wolfgang Kellerer, Georg Carle, Thomas Seel, Jörg Raisch:
Design of a Networked Controller for a Two-Wheeled Inverted Pendulum Robot. CoRR abs/1812.03071 (2018)
Coauthor Index
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