Jacob Arkin

493 total citations
17 papers, 262 citations indexed

About

Jacob Arkin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Jacob Arkin has authored 17 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 3 papers in Control and Systems Engineering. Recurrent topics in Jacob Arkin's work include Multimodal Machine Learning Applications (9 papers), Topic Modeling (8 papers) and Natural Language Processing Techniques (8 papers). Jacob Arkin is often cited by papers focused on Multimodal Machine Learning Applications (9 papers), Topic Modeling (8 papers) and Natural Language Processing Techniques (8 papers). Jacob Arkin collaborates with scholars based in United States, United Kingdom and India. Jacob Arkin's co-authors include Thomas M. Howard, Rohan Paul, Nicholas Roy, Nicholas Roy, Chuchu Fan, Yongchao Chen, Derya Aksaray, Yang Zhang, Yang Zhang and Charles Dawson and has published in prestigious journals such as The International Journal of Robotics Research, ACS Chemical Biology and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Jacob Arkin

16 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob Arkin United States 8 156 109 66 15 15 17 262
Daniel Nyga Germany 7 161 1.0× 107 1.0× 106 1.6× 5 0.3× 21 1.4× 13 247
Mihai Pomarlan Germany 7 117 0.8× 72 0.7× 94 1.4× 6 0.4× 22 1.5× 25 219
Daniel Beßler Germany 6 135 0.9× 59 0.5× 108 1.6× 5 0.3× 13 0.9× 9 235
Asil Kaan Bozcuoğlu Germany 8 140 0.9× 65 0.6× 123 1.9× 8 0.5× 14 0.9× 15 240
Emanuele Bastianelli Italy 11 241 1.5× 90 0.8× 68 1.0× 5 0.3× 29 1.9× 24 354
Ferenc Bálint-Benczédi Germany 10 103 0.7× 118 1.1× 103 1.6× 5 0.3× 55 3.7× 21 246
Yongbin Li China 8 250 1.6× 70 0.6× 47 0.7× 31 2.1× 9 0.6× 27 342
Andrei Barbu United States 9 263 1.7× 267 2.4× 24 0.4× 5 0.3× 13 0.9× 22 376
D. Sujitha Juliet India 6 75 0.5× 104 1.0× 9 0.1× 5 0.3× 7 0.5× 8 239
He Liu China 9 88 0.6× 73 0.7× 11 0.2× 9 0.6× 24 1.6× 27 208

Countries citing papers authored by Jacob Arkin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jacob Arkin

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Arkin. A scholar is included among the top collaborators of Jacob Arkin 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 Jacob Arkin. Jacob Arkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
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Chen, Yongchao, Jacob Arkin, Charles Dawson, et al.. (2024). AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers. 6695–6702. 35 indexed citations
3.
Chen, Yongchao, Jacob Arkin, Yang Zhang, Nicholas Roy, & Chuchu Fan. (2024). Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems?. 4311–4317. 32 indexed citations
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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
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
9.
Arkin, Jacob, Daehyung Park, Subhro Roy, et al.. (2020). Multimodal estimation and communication of latent semantic knowledge for robust execution of robot instructions. The International Journal of Robotics Research. 39(10-11). 1279–1304. 28 indexed citations
10.
Paul, Rohan, Jacob Arkin, Derya Aksaray, Nicholas Roy, & Thomas M. Howard. (2018). Efficient grounding of abstract spatial concepts for natural language interaction with robot platforms. The International Journal of Robotics Research. 37(10). 1269–1299. 39 indexed citations
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Paul, Rohan, Jacob Arkin, Nicholas Roy, & Thomas M. Howard. (2017). Grounding Abstract Spatial Concepts for Language Interaction with Robots. 4929–4933. 6 indexed citations
13.
Arkin, Jacob, et al.. (2017). Selective Downregulation of JAK2 and JAK3 by an ATP-Competitive pan-JAK Inhibitor. ACS Chemical Biology. 12(5). 1183–1187. 18 indexed citations
14.
Arkin, Jacob, et al.. (2017). Real-time natural language corrections for assistive robotic manipulators. The International Journal of Robotics Research. 36(5-7). 684–698. 14 indexed citations
15.
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
16.
Howard, Thomas M., et al.. (2016). A model for verifiable grounding and execution of complex natural language instructions. 2649–2654. 15 indexed citations
17.
Paul, Rohan, Jacob Arkin, Nicholas Roy, & Thomas M. Howard. (2016). Efficient Grounding of Abstract Spatial Concepts for Natural Language Interaction with Robot Manipulators. 52 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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