Jacob Arkin
Impact in
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- Multimodal Machine Learning Applications
- Robotic Path Planning Algorithms
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- AI-based Problem Solving and Planning
- Reinforcement Learning in Robotics
Papers in
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- Multimodal Machine Learning Applications 10
- Robotic Path Planning Algorithms 2
-
- Natural Language Processing Techniques 8
- Topic Modeling 8
- Speech and dialogue systems 6
- AI-based Problem Solving and Planning 2
- Co-authors
- Thomas M. Howard (14 shared papers)Rohan Singh Paul (6 shared papers)Nicholas Roy (7 shared papers)Nicholas Roy (3 shared papers)Yongchao Chen (3 shared papers)Chuchu Fan (3 shared papers)Yang Zhang (2 shared papers)Derya Aksaray (1 shared paper)
- Journals
- The International Journal of Robotics Research (3 papers)ACS Chemical Biology (1 paper)2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (1 paper)Springer proceedings in advanced robotics (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Jacob Arkin
17 papers receiving 330 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 143
- Artificial Intelligence 196
- Control and Systems Engineering 83
- Human-Computer Interaction 11
- Software 6
Countries citing papers authored by Jacob Arkin
This map shows the geographic impact of Jacob Arkin'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 Jacob Arkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Arkin more than expected).
Fields of papers citing papers by Jacob Arkin
This network shows the impact of papers produced by Jacob Arkin. 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 Jacob Arkin. The network helps show where Jacob Arkin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob Arkin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 65 | |
| 2 | 2024 | 50 | |
| 3 | 2024 | 48 | |
| 4 | 2018 | 46 | |
| 5 | 2020 | 32 | |
| 6 | 2016 | 18 | |
| 7 | 2017 | 18 | |
| 8 | 2017 | 18 | |
| 9 | 2017 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2017 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2020 | 6 | |
| 14 | 2024 | 4 | |
| 15 | Efficient Grounding of Abstract Spatial Concepts for Natural Language Interaction with Robot Manipulators | 2016 | 4 |
| 16 | 2022 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 0 |
About Jacob Arkin
Jacob Arkin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics and Immunology, having authored 18 papers that have together received 341 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (10 papers), Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers), Speech and dialogue systems (6 papers), Robot Manipulation and Learning (3 papers), AI-based Problem Solving and Planning (2 papers), Robotic Path Planning Algorithms (2 papers) and Computability, Logic, AI Algorithms (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (143 citations), Artificial Intelligence (196 citations), Control and Systems Engineering (83 citations), Human-Computer Interaction (11 citations) and Software (6 citations). Jacob Arkin has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Thomas M. Howard, Rohan Singh Paul, Nicholas Roy, Nicholas Roy, Yongchao Chen, Chuchu Fan, Yang Zhang, Derya Aksaray, Charles Dawson and Yang Zhang. Their work appears in journals such as The International Journal of Robotics Research, ACS Chemical Biology, 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Springer proceedings in advanced robotics and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.