Menachem Stern

731 total citations
21 papers, 479 citations indexed

About

Menachem Stern is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Menachem Stern has authored 21 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Cognitive Neuroscience and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Menachem Stern's work include Neural Networks and Reservoir Computing (8 papers), Advanced Memory and Neural Computing (6 papers) and Neural dynamics and brain function (5 papers). Menachem Stern is often cited by papers focused on Neural Networks and Reservoir Computing (8 papers), Advanced Memory and Neural Computing (6 papers) and Neural dynamics and brain function (5 papers). Menachem Stern collaborates with scholars based in United States, Netherlands and United Kingdom. Menachem Stern's co-authors include Arvind Murugan, M J During, Michael G. Kaplitt, David Eidelberg, Andrea J. Liu, D. J. Durian, Sam Dillavou, Stephanie E. Palmer, Thomas A. Witten and Matthew B. Pinson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Menachem Stern

20 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Menachem Stern United States	12	118	113	86	78	76	21	479
Masato Okada Japan	15	42 0.4×	439 3.9×	54 0.6×	42 0.5×	151 2.0×	94	794
Weifu Li China	17	45 0.4×	326 2.9×	70 0.8×	48 0.6×	20 0.3×	65	746
Kendrick M. Shaw United States	13	13 0.1×	194 1.7×	42 0.5×	106 1.4×	20 0.3×	23	546
Kaijie Wu China	12	59 0.5×	22 0.2×	41 0.5×	87 1.1×	91 1.2×	57	365
Wenxiang Ding China	10	15 0.1×	27 0.2×	89 1.0×	55 0.7×	34 0.4×	35	484
Jianxin Peng China	16	24 0.2×	76 0.7×	103 1.2×	31 0.4×	25 0.3×	95	806
Sam Kriegman United States	10	88 0.7×	313 2.8×	121 1.4×	28 0.4×	12 0.2×	20	730
Hong Soon Choi South Korea	17	17 0.1×	170 1.5×	113 1.3×	52 0.7×	552 7.3×	70	1.2k
Lennart Gustafsson Sweden	9	18 0.2×	85 0.8×	12 0.1×	22 0.3×	57 0.8×	30	372

Countries citing papers authored by Menachem Stern

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Menachem Stern

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Stern, Menachem, et al.. (2025). Microscopic Imprints of Learned Solutions in Tunable Networks. Physical Review X. 15(3). 1 indexed citations

Stern, Menachem, et al.. (2025). Physical Networks Become What They Learn. Physical Review Letters. 134(14). 147402–147402. 1 indexed citations

Stern, Menachem, Sam Dillavou, Dinesh Jayaraman, D. J. Durian, & Andrea J. Liu. (2024). Training self-learning circuits for power-efficient solutions. SHILAP Revista de lepidopterología. 2(1). 5 indexed citations

Stern, Menachem, et al.. (2024). Applying statistical learning theory to deep learning. Journal of Statistical Mechanics Theory and Experiment. 2024(10). 104003–104003.

Stern, Menachem, et al.. (2024). Experimental demonstration of coupled learning in elastic networks. Physical Review Applied. 22(2). 9 indexed citations

Dillavou, Sam, et al.. (2024). Machine learning without a processor: Emergent learning in a nonlinear analog network. Proceedings of the National Academy of Sciences. 121(28). e2319718121–e2319718121. 18 indexed citations

Dillavou, Sam, et al.. (2023). Circuits that train themselves: decentralized, physics-driven learning. 102. 38–38. 1 indexed citations

Stern, Menachem & Arvind Murugan. (2023). Learning Without Neurons in Physical Systems. Annual Review of Condensed Matter Physics. 14(1). 417–441. 50 indexed citations

Stern, Menachem, et al.. (2023). Learning to self-fold at a bifurcation. Physical review. E. 107(2). 25001–25001. 14 indexed citations

10.

Dillavou, Sam, Menachem Stern, Andrea J. Liu, & D. J. Durian. (2022). Demonstration of Decentralized Physics-Driven Learning. Physical Review Applied. 18(1). 50 indexed citations

11.

Dillavou, Sam, et al.. (2022). Desynchronous learning in a physics-driven learning network. The Journal of Chemical Physics. 156(14). 144903–144903. 21 indexed citations

12.

Stern, Menachem, et al.. (2020). Supervised learning through physical changes in a mechanical system. Proceedings of the National Academy of Sciences. 117(26). 14843–14850. 48 indexed citations

13.

Stern, Menachem, et al.. (2018). Shaping the topology of folding pathways in mechanical systems. Nature Communications. 9(1). 4303–4303. 29 indexed citations

14.

Pinson, Matthew B., et al.. (2017). Self-folding origami at any energy scale. Nature Communications. 8(1). 15477–15477. 42 indexed citations

15.

Peters, Ivo R., et al.. (2016). From splashing to bouncing: The influence of viscosity on the impact of suspension droplets on a solid surface. Physical review. E. 93(6). 62609–62609. 19 indexed citations

16.

During, M J, Michael G. Kaplitt, Menachem Stern, & David Eidelberg. (2001). Subthalamic GAD gene transfer in Parkinson disease patients who are candidates for deep brain stimulation.. PubMed. 12(12). 1589–91. 130 indexed citations

17.

Zwil, Alexander S., et al.. (1994). Treatment of organic bipolar mood disorders in Parkinson's disease. Journal of Neuropsychiatry. 6(2). 181–184. 20 indexed citations

18.

Stern, Menachem. (1985). Concepts in Coeliac Disease: Is There a Receptor for Gliadin?. Klinische Pädiatrie. 197(4). 349–354. 1 indexed citations

19.

Stern, Menachem. (1981). [Cow's milk protein intolerance: clinical and pathogenic aspects (author's transl)].. PubMed. 129(1). 18–26. 1 indexed citations

20.

Stern, Menachem, et al.. (1980). [Coeliac disease: clinical and pathogenic aspects (author's transl)].. PubMed. 128(3). 109–17. 3 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.

Explore authors with similar magnitude of impact