Neil Jacobstein
Impact in
- Health Informatics top 5%
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
Papers in
-
- Reinforcement Learning in Robotics 2
- Artificial Intelligence in Games 1
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- 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)Frederick Hayes‐Roth (1 shared paper)Peer Fischer (3 shared papers)Manuela Veloso (2 shared papers)Robert J. Full (2 shared papers)
- Journals
- Science Robotics (6 papers)Communications of the ACM (2 papers)World Policy Journal (1 paper)AI Magazine (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Neil Jacobstein
9 papers receiving 1.5k citations
Neil Jacobstein's Hit Papers
Peers
Comparison fields: 5 of 151
- Health Informatics 31
- Condensed Matter Physics 261
- Biomedical Engineering 578
- Mechanical Engineering 367
- Modeling and Simulation 40
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 | 914 |
| 2 | Combating COVID-19—The role of robotics in managing public health and infectious diseases Hit paper breakdown → | 2020 | 415 |
| 3 | 1994 | 139 | |
| 4 | 2019 | 33 | |
| 5 | 2016 | 28 | |
| 6 | 2019 | 13 | |
| 7 | 2021 | 9 | |
| 8 | 2013 | 8 | |
| 9 | 1986 | 3 | |
| 10 | Managing Expert Systems Projects | 1988 | 1 |
| 11 | 2008 | 0 |
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 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Soft Robotics and Applications (3 papers), Modular Robots and Swarm Intelligence (3 papers), Reinforcement Learning in Robotics (2 papers), Robot Manipulation and Learning (2 papers), Space Science and Extraterrestrial Life (1 paper), Artificial Intelligence in Games (1 paper), Autonomous Vehicle Technology and Safety (1 paper) and Disaster Response and Management (1 paper). The work is most often cited by research in Health Informatics (31 citations), Condensed Matter Physics (261 citations), Biomedical Engineering (578 citations), Mechanical Engineering (367 citations) and Modeling and Simulation (40 citations). Neil Jacobstein has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Bradley J. Nelson, Guang‐Zhong Yang, Russell H. Taylor, Marcia McNutt, Frederick Hayes‐Roth, Peer Fischer, Manuela Veloso, Robert J. Full, Brian Scassellati and Luciano Floridi. Their work appears in journals such as Science Robotics, Communications of the ACM, World Policy Journal and AI Magazine.
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.