Michael Wolf

1.6k total citations · 1 hit paper
43 papers, 1.2k citations indexed

About

Michael Wolf is a scholar working on Cognitive Neuroscience, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Michael Wolf has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 10 papers in Aerospace Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in Michael Wolf's work include Robotic Path Planning Algorithms (8 papers), Neural dynamics and brain function (7 papers) and Robot Manipulation and Learning (6 papers). Michael Wolf is often cited by papers focused on Robotic Path Planning Algorithms (8 papers), Neural dynamics and brain function (7 papers) and Robot Manipulation and Learning (6 papers). Michael Wolf collaborates with scholars based in United States, Germany and Norway. Michael Wolf's co-authors include Joel W. Burdick, Yoshiaki Kuwata, Dimitri Zarzhitsky, Terrance L. Huntsberger, Christopher Assad, SangHyun Chang, Mabel M. Zhang, Christopher Kanan, Kostas Daniilidis and Matthew T. Vernacchia and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Biomedical Engineering and The International Journal of Robotics Research.

In The Last Decade

Michael Wolf

42 papers receiving 1.1k citations

Hit Papers

Safe Maritime Autonomous Navigation With COLREGS, Using V... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Wolf United States 15 445 425 232 203 185 43 1.2k
Ze Ji United Kingdom 18 188 0.4× 348 0.8× 129 0.6× 187 0.9× 122 0.7× 127 1.3k
Anne Spalanzani France 16 249 0.6× 680 1.6× 230 1.0× 261 1.3× 63 0.3× 51 1.1k
Hongkai Wen United Kingdom 21 280 0.6× 748 1.8× 671 2.9× 39 0.2× 151 0.8× 67 1.8k
Glen Berseth Canada 15 204 0.5× 430 1.0× 54 0.2× 519 2.6× 415 2.2× 39 1.1k
Keiichi Uchimura Japan 11 84 0.2× 325 0.8× 74 0.3× 72 0.4× 78 0.4× 112 1.0k
Farbod Fahimi United States 18 175 0.4× 311 0.7× 254 1.1× 591 2.9× 239 1.3× 73 1.1k
Yoichi Morales Japan 19 99 0.2× 341 0.8× 231 1.0× 211 1.0× 31 0.2× 41 871
Matthias Luber Germany 11 147 0.3× 564 1.3× 119 0.5× 61 0.3× 64 0.3× 13 776
Adham Atyabi United States 15 144 0.3× 331 0.8× 124 0.5× 220 1.1× 155 0.8× 45 1.1k

Countries citing papers authored by Michael Wolf

Since Specialization
Citations

This map shows the geographic impact of Michael Wolf's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wolf more than expected).

Fields of papers citing papers by Michael Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Wolf. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Wolf. The network helps show where Michael Wolf may publish in the future.

Co-authorship network of co-authors of Michael Wolf

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Wolf. A scholar is included among the top collaborators of Michael Wolf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Wolf. Michael Wolf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Beier, Margaret E., et al.. (2024). The development of collegiate STEM self-efficacy: A longitudinal study of first-year students. Papers on Engineering Education Repository (American Society for Engineering Education).
2.
Wolf, Michael, et al.. (2023). Congestion Prediction for Large Fleets of Mobile Robots. 7642–7649. 5 indexed citations
3.
Rossi, Federico, et al.. (2021). On Local Computation for Network-Structured Convex Optimization in Multiagent Systems. IEEE Transactions on Control of Network Systems. 8(2). 542–554. 4 indexed citations
4.
Wolf, Michael, et al.. (2020). Data on toothbrushing study comparing infrared-based motion tracking versus video observation. SHILAP Revista de lepidopterología. 31. 105867–105867. 2 indexed citations
5.
Goldschmidtboeing, Frank, et al.. (2020). Bristle Motion, Forces, and Related Vertical Translation for a Novel Electric Toothbrush Design. Strojniški vestnik – Journal of Mechanical Engineering. 66(9). 505–512. 1 indexed citations
6.
Rossi, Federico, et al.. (2020). Exploiting Locality and Structure for Distributed Optimization in Multi-Agent Systems. 440–447. 1 indexed citations
7.
Otsu, Kyohei, Rohan Thakker, Tiago Vaquero, et al.. (2020). Supervised Autonomy for Communication-degraded Subterranean Exploration by a Robot Team. 1–9. 34 indexed citations
8.
Zhang, Mabel M., et al.. (2015). VAIS: A dataset for recognizing maritime imagery in the visible and infrared spectrums. 10–16. 113 indexed citations
9.
Assad, Christopher, Michael Wolf, Adrian Stoica, Theodoros Theodoridis, & Kyrre Glette. (2013). BioSleeve: A natural EMG-based interface for HRI. 69–70. 22 indexed citations
10.
Assad, Christopher, Michael Wolf, Adrian Stoica, Theodoros Theodoridis, & Kyrre Glette. (2013). BioSleeve: a natural EMG-based interface for HRI. Human-Robot Interaction. 69–70. 21 indexed citations
11.
Wolf, Michael, et al.. (2013). Gesture-based robot control with variable autonomy from the JPL BioSleeve. 1160–1165. 82 indexed citations
12.
Chakrabarti, Shubhodeep, Paul D. N. Hebert, Michael Wolf, et al.. (2011). Expert-like performance of an autonomous spike tracking algorithm in isolating and maintaining single units in the macaque cortex. Journal of Neuroscience Methods. 205(1). 72–85. 4 indexed citations
13.
Kuwata, Yoshiaki, Michael Wolf, Dimitri Zarzhitsky, & Terrance L. Huntsberger. (2011). Safe maritime navigation with COLREGS using Velocity Obstacles. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 6 indexed citations
14.
Blackmore, Lars, Yoshiaki Kuwata, Michael Wolf, et al.. (2010). Global reachability and path planning for planetary exploration with montgolfiere balloons. 8 indexed citations
15.
Chang, SangHyun, Michael Wolf, & Joel W. Burdick. (2010). Human detection and tracking via Ultra-Wideband (UWB) radar. 452–457. 47 indexed citations
16.
Elfes, Alberto, K. Reh, P. Beauchamp, et al.. (2010). Implications of wind-assisted aerial navigation for Titan mission planning and science exploration. 1–7. 3 indexed citations
17.
Wolf, Michael & Joel W. Burdick. (2009). A Bayesian Clustering Method for Tracking Neural Signals Over Successive Intervals. IEEE Transactions on Biomedical Engineering. 56(11). 2649–2659. 10 indexed citations
18.
Chang, SangHyun, Michael Wolf, & Joel W. Burdick. (2009). An MHT algorithm for UWB radar-based multiple human target tracking. CaltechAUTHORS (California Institute of Technology). 459–463. 16 indexed citations
19.
Wolf, Michael & Joel W. Burdick. (2008). Artificial potential functions for highway driving with collision avoidance. 3731–3736. 174 indexed citations
20.
Stiehl, Walter Dan, et al.. (2005). The Design of the Huggable: A Therapeutic Robotic Companion for Relational, Affective Touch.. National Conference on Artificial Intelligence. 91–98. 31 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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