Neil Jacobstein
Impact in
- Health Informatics top 5%
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
Papers in
-
- Reinforcement Learning in Robotics 2
- Semantic Web and Ontologies 1
- Artificial Intelligence in Games 1
-
- Modular Robots and Swarm Intelligence 3
- Co-authors
- Bradley J. Nelson (4 shared papers)Guang‐Zhong Yang (4 shared papers)Russell H. Taylor (3 shared papers)Marcia McNutt (2 shared papers)Peer Fischer (3 shared papers)Frederick Hayes‐Roth (1 shared paper)Robert J. Full (2 shared papers)Manuela Veloso (2 shared papers)
- Journals
- Science Robotics (6 papers)World Policy Journal (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Neil Jacobstein
8 papers receiving 1.4k citations
Neil Jacobstein's Hit Papers
Peers
Comparison fields: 5 of 151
- Health Informatics 31
- Condensed Matter Physics 252
- Biomedical Engineering 557
- Mechanical Engineering 352
- Human-Computer Interaction 42
Countries citing papers authored by Neil Jacobstein
This map shows the geographic impact of Neil Jacobstein'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 Neil Jacobstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Jacobstein more than expected).
Fields of papers citing papers by Neil Jacobstein
This network shows the impact of papers produced by Neil Jacobstein. 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 Neil Jacobstein. The network helps show where Neil Jacobstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Neil Jacobstein, 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 | The grand challenges of Science Robotics Hit paper breakdown → | 2018 | 845 |
| 2 | Combating COVID-19—The role of robotics in managing public health and infectious diseases Hit paper breakdown → | 2020 | 364 |
| 3 | 1994 | 109 | |
| 4 | 2019 | 32 | |
| 5 | 2016 | 27 | |
| 6 | 2019 | 13 | |
| 7 | 2021 | 9 | |
| 8 | 2013 | 8 | |
| 9 | Managing Expert Systems Projects | 1988 | 1 |
About Neil Jacobstein
Neil Jacobstein is a scholar working on Artificial Intelligence, Mechanical Engineering, Biomedical Engineering, Management Information Systems and Control and Systems Engineering, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Soft Robotics and Applications (3 papers), Modular Robots and Swarm Intelligence (3 papers), Robot Manipulation and Learning (2 papers), Reinforcement Learning in Robotics (2 papers), Long-Term Effects of COVID-19 (1 paper), Semantic Web and Ontologies (1 paper), Artificial Intelligence in Games (1 paper) and Space Science and Extraterrestrial Life (1 paper). The work is most often cited by research in Health Informatics (31 citations), Condensed Matter Physics (252 citations), Biomedical Engineering (557 citations), Mechanical Engineering (352 citations) and Human-Computer Interaction (42 citations). Neil Jacobstein has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Bradley J. Nelson, Guang‐Zhong Yang, Russell H. Taylor, Marcia McNutt, Peer Fischer, Frederick Hayes‐Roth, Robert J. Full, Manuela Veloso, Pierre E. Dupont and Robert J. Wood. Their work appears in journals such as Science Robotics, World Policy Journal and Communications of the ACM.
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.