Menachem Stern
Impact in
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- Neurological disorders and treatments
Papers in
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- Neural Networks and Reservoir Computing 8
- Neural Networks and Applications 3
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- Neural dynamics and brain function 5
- Co-authors
- Arvind Murugan (5 shared papers)Michael G. Kaplitt (1 shared paper)David Eidelberg (1 shared paper)M J During (1 shared paper)Andrea J. Liu (9 shared papers)D. J. Durian (6 shared papers)Sam Dillavou (5 shared papers)Stephanie E. Palmer (1 shared paper)
- Journals
- Physical review. E (3 papers)Nature Communications (2 papers)Proceedings of the National Academy of Sciences (2 papers)Physical Review Applied (2 papers)Physical Review X (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Menachem Stern
20 papers receiving 479 citations
Peers
Comparison fields: 5 of 80
- Cellular and Molecular Neuroscience 77
- Neurology 55
- Artificial Intelligence 121
- Cognitive Neuroscience 60
- Mechanical Engineering 116
Countries citing papers authored by Menachem Stern
This map shows the geographic impact of Menachem Stern'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 Menachem Stern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Menachem Stern more than expected).
Fields of papers citing papers by Menachem Stern
This network shows the impact of papers produced by Menachem Stern. 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 Menachem Stern. The network helps show where Menachem Stern may publish in the future.
Co-authors
The 23 scholars most cited alongside Menachem Stern, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Subthalamic GAD gene transfer in Parkinson disease patients who are candidates for deep brain stimulation. | 2001 | 131 |
| 2 | 2023 | 53 | |
| 3 | 2022 | 50 | |
| 4 | 2020 | 49 | |
| 5 | 2017 | 45 | |
| 6 | 2018 | 29 | |
| 7 | 2022 | 21 | |
| 8 | 2024 | 20 | |
| 9 | 2016 | 20 | |
| 10 | 1994 | 20 | |
| 11 | 2024 | 16 | |
| 12 | 2023 | 14 | |
| 13 | 2024 | 10 | |
| 14 | 2024 | 5 | |
| 15 | [Coeliac disease: clinical and pathogenic aspects (author's transl)]. | 1980 | 3 |
| 16 | 2025 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 1985 | 1 |
About Menachem Stern
Menachem Stern is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Electrical and Electronic Engineering, Mechanical Engineering and Control and Systems Engineering, having authored 21 papers that have together received 493 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (8 papers), Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (5 papers), Modular Robots and Swarm Intelligence (4 papers), Neural Networks and Applications (3 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Celiac Disease Research and Management (2 papers) and Robotic Mechanisms and Dynamics (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (77 citations), Neurology (55 citations), Artificial Intelligence (121 citations), Cognitive Neuroscience (60 citations) and Mechanical Engineering (116 citations). Menachem Stern has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Arvind Murugan, Michael G. Kaplitt, David Eidelberg, M J During, Andrea J. Liu, D. J. Durian, Sam Dillavou, Stephanie E. Palmer, Thomas A. Witten and Elizabeth Chen. Their work appears in journals such as Physical review. E, Nature Communications, Proceedings of the National Academy of Sciences, Physical Review Applied and Physical Review X.
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.