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
Papers in
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- Natural Language Processing Techniques 8
- Topic Modeling 8
- Speech and dialogue systems 5
- AI-based Problem Solving and Planning 2
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- Multimodal Machine Learning Applications 9
- Robotic Path Planning Algorithms 2
- Co-authors
- Thomas M. Howard (13 shared papers)Rohan Paul (5 shared papers)Nicholas Roy (6 shared papers)Nicholas Roy (3 shared papers)Chuchu Fan (3 shared papers)Yongchao Chen (3 shared papers)Derya Aksaray (1 shared paper)Yang Zhang (2 shared papers)
- 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)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Jacob Arkin
16 papers receiving 255 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 109
- Artificial Intelligence 156
- Control and Systems Engineering 66
- Human-Computer Interaction 9
- Software 4
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 | 52 | |
| 2 | 2018 | 39 | |
| 3 | 2024 | 35 | |
| 4 | 2024 | 32 | |
| 5 | 2020 | 28 | |
| 6 | 2017 | 18 | |
| 7 | 2016 | 15 | |
| 8 | 2017 | 14 | |
| 9 | 2017 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2017 | 5 | |
| 12 | Efficient Grounding of Abstract Spatial Concepts for Natural Language Interaction with Robot Manipulators | 2016 | 4 |
| 13 | 2021 | 4 | |
| 14 | 2024 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 0 |
About Jacob Arkin
Jacob Arkin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Theory and Mathematics and Molecular Biology, having authored 17 papers that have together received 262 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (9 papers), Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers), Speech and dialogue systems (5 papers), Robot Manipulation and Learning (3 papers), AI-based Problem Solving and Planning (2 papers), Robotic Path Planning Algorithms (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (109 citations), Artificial Intelligence (156 citations), Control and Systems Engineering (66 citations), Human-Computer Interaction (9 citations) and Software (4 citations). Jacob Arkin has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Thomas M. Howard, Rohan Paul, Nicholas Roy, Nicholas Roy, Chuchu Fan, Yongchao Chen, Derya Aksaray, Yang Zhang, 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), 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and DSpace@MIT (Massachusetts Institute of Technology).
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.