Thomas M. Howard

843 total citations
31 papers, 369 citations indexed

About

Thomas M. Howard is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Thomas M. Howard has authored 31 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 7 papers in Control and Systems Engineering. Recurrent topics in Thomas M. Howard's work include Multimodal Machine Learning Applications (14 papers), Natural Language Processing Techniques (11 papers) and Topic Modeling (9 papers). Thomas M. Howard is often cited by papers focused on Multimodal Machine Learning Applications (14 papers), Natural Language Processing Techniques (11 papers) and Topic Modeling (9 papers). Thomas M. Howard collaborates with scholars based in United States, United Kingdom and India. Thomas M. Howard's co-authors include Nicholas Roy, Jacob Arkin, Rohan Paul, Matthew R. Walter, Stefanie Tellex, Derya Aksaray, Felix Duvallet, Anthony Stentz, Sachithra Hemachandra and Nicholas Roy and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters and ArXiv.org.

In The Last Decade

Thomas M. Howard

28 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas M. Howard United States 10 240 195 104 37 31 31 369
S. Kreiss Switzerland 5 186 0.8× 250 1.3× 61 0.6× 47 1.3× 19 0.6× 8 396
Felix Duvallet United States 9 117 0.5× 113 0.6× 95 0.9× 45 1.2× 23 0.7× 14 267
Dominik Jain Germany 12 167 0.7× 139 0.7× 121 1.2× 66 1.8× 10 0.3× 16 326
Tingwu Wang Canada 4 150 0.6× 200 1.0× 105 1.0× 15 0.4× 28 0.9× 6 328
Ferenc Bálint-Benczédi Germany 10 103 0.4× 118 0.6× 103 1.0× 55 1.5× 18 0.6× 21 246
Rogerio Bonatti United States 6 147 0.6× 149 0.8× 89 0.9× 54 1.5× 17 0.5× 12 327
Adrian Li United States 6 197 0.8× 110 0.6× 119 1.1× 15 0.4× 37 1.2× 9 306
Jingwei Zhang Germany 3 185 0.8× 198 1.0× 61 0.6× 70 1.9× 30 1.0× 5 333
Claudia Pérez-D’Arpino United States 8 110 0.5× 165 0.8× 187 1.8× 50 1.4× 48 1.5× 14 370
Linxi Fan United States 7 103 0.4× 124 0.6× 73 0.7× 38 1.0× 16 0.5× 12 239

Countries citing papers authored by Thomas M. Howard

Since Specialization
Citations

This map shows the geographic impact of Thomas M. Howard'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 Thomas M. Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas M. Howard more than expected).

Fields of papers citing papers by Thomas M. Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Howard. 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 Thomas M. Howard. The network helps show where Thomas M. Howard may publish in the future.

Co-authorship network of co-authors of Thomas M. Howard

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Howard. A scholar is included among the top collaborators of Thomas M. Howard 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 Thomas M. Howard. Thomas M. Howard 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.
Prentice, Samuel, et al.. (2025). Far-Field Image-Based Traversability Mapping for a Priori Unknown Natural Environments. IEEE Robotics and Automation Letters. 10(6). 6039–6046.
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Howard, Thomas M., et al.. (2024). Homotopy-Aware Efficiently Adaptive State Lattices for Mobile Robot Motion Planning in Cluttered Environments. IEEE Robotics and Automation Letters. 10(2). 947–954. 1 indexed citations
4.
Walter, Matthew R., Felix Duvallet, Sachithra Hemachandra, et al.. (2022). Language Understanding for Field and Service Robots in a Priori Unknown Environments. 2. 1191–1231. 7 indexed citations
5.
Arkin, Jacob, et al.. (2022). An Efficient Algorithm for Visualization and Interpretation of Grounded Language Models. 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). 266–273. 1 indexed citations
6.
Travers, Matthew, et al.. (2022). Improved Performance of CPG Parameter Inference for Path-following Control of Legged Robots. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2 indexed citations
7.
Howard, Thomas M., Ethan Stump, Jacob Arkin, et al.. (2022). An Intelligence Architecture for Grounded Language Communication with Field Robots. 2. 468–512. 6 indexed citations
8.
Arkin, Jacob, et al.. (2021). Discrete Optimization of Adaptive State Lattices for Iterative Motion Planning on Unmanned Ground Vehicles. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 5764–5771. 4 indexed citations
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Howard, Thomas M., et al.. (2017). On the performance of selective adaptation in state lattices for mobile robot motion planning in cluttered environments. abs 1202 253. 4436–4443. 2 indexed citations
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Paul, Rohan, Jacob Arkin, Nicholas Roy, & Thomas M. Howard. (2016). Efficient Grounding of Abstract Spatial Concepts for Natural Language Interaction with Robot Manipulators. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations
14.
Barber, Daniel, Thomas M. Howard, & Matthew R. Walter. (2016). A multimodal interface for real-time soldier-robot teaming. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9 indexed citations
15.
Howard, Thomas M., et al.. (2016). Expressing homotopic requirements for mobile robot navigation through natural language instructions. 1462–1468. 4 indexed citations
16.
Duvallet, Felix, Jean Oh, Anthony Stentz, et al.. (2015). Inferring Maps and Behaviors from Natural Language Instructions. DSpace@MIT (Massachusetts Institute of Technology). 10 indexed citations
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Hemachandra, Sachithra, Felix Duvallet, Thomas M. Howard, et al.. (2015). Learning models for following natural language directions in unknown environments. 5608–5615. 35 indexed citations
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Howard, Thomas M., et al.. (2014). Efficient Natural Language Interfaces for Assistive Robots. 9 indexed citations
20.
Howard, Thomas M., Stefanie Tellex, & Nicholas Roy. (2014). A natural language planner interface for mobile manipulators. 6652–6659. 68 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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