Isaac Meilijson

5.0k total citations
101 papers, 3.3k citations indexed

About

Isaac Meilijson is a scholar working on Cognitive Neuroscience, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Isaac Meilijson has authored 101 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 17 papers in Management Science and Operations Research and 16 papers in Economics and Econometrics. Recurrent topics in Isaac Meilijson's work include Neural dynamics and brain function (22 papers), Advanced Memory and Neural Computing (14 papers) and Risk and Portfolio Optimization (9 papers). Isaac Meilijson is often cited by papers focused on Neural dynamics and brain function (22 papers), Advanced Memory and Neural Computing (14 papers) and Risk and Portfolio Optimization (9 papers). Isaac Meilijson collaborates with scholars based in Israel, United States and Germany. Isaac Meilijson's co-authors include Eytan Ruppin, Michael Landsberger, Arthur Nádas, Gal Chechik, Martin Kupiec, Daphna Joel, Eyal Seidemann, Micha Abeles, Eilon Vaadia and Alain Chateauneuf and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of Neuroscience.

In The Last Decade

Isaac Meilijson

99 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isaac Meilijson Israel 33 752 597 529 486 465 101 3.3k
In Jae Myung United States 19 875 1.2× 374 0.6× 221 0.4× 127 0.3× 989 2.1× 30 3.6k
James R. Wilson United States 28 488 0.6× 888 1.5× 509 1.0× 266 0.5× 146 0.3× 163 3.5k
Jean‐Pierre Nadal France 33 1.3k 1.7× 112 0.2× 267 0.5× 240 0.5× 1.5k 3.1× 107 3.9k
Robert R. Bush United States 15 1.2k 1.5× 555 0.9× 587 1.1× 97 0.2× 860 1.8× 23 4.6k
Arndt Bröder Germany 34 1.3k 1.8× 730 1.2× 534 1.0× 155 0.3× 1.7k 3.7× 114 6.0k
Domenico Parisi United States 31 1.3k 1.7× 79 0.1× 376 0.7× 519 1.1× 1.6k 3.5× 132 6.9k
Bradley C. Love United States 36 2.3k 3.1× 156 0.3× 93 0.2× 182 0.4× 1.3k 2.7× 150 4.8k
Noah D. Goodman United States 46 1.8k 2.4× 276 0.5× 135 0.3× 118 0.2× 3.4k 7.3× 203 8.2k
Finn Årup Nielsen Denmark 26 1.0k 1.4× 154 0.3× 124 0.2× 317 0.7× 1.1k 2.4× 80 3.7k
Christian Lebière United States 24 1.8k 2.4× 457 0.8× 165 0.3× 58 0.1× 2.3k 5.0× 152 5.5k

Countries citing papers authored by Isaac Meilijson

Since Specialization
Citations

This map shows the geographic impact of Isaac Meilijson'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 Isaac Meilijson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isaac Meilijson more than expected).

Fields of papers citing papers by Isaac Meilijson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isaac Meilijson. 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 Isaac Meilijson. The network helps show where Isaac Meilijson may publish in the future.

Co-authorship network of co-authors of Isaac Meilijson

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

All Works

20 of 20 papers shown
1.
Gilat, David, Isaac Meilijson, & Laura Sacerdote. (2017). A sharp bound on the expected number of upcrossings of an L2-bounded Martingale. Stochastic Processes and their Applications. 128(6). 1849–1856. 2 indexed citations
2.
Meilijson, Isaac, et al.. (2015). Quantitative microscopy of mole rat eosinophil granule morphology. Cell and Tissue Research. 362(1). 139–151. 1 indexed citations
3.
Hammel, Ilan & Isaac Meilijson. (2014). The stealthy nano-machine behind mast cell granule size distribution. Molecular Immunology. 63(1). 45–54. 9 indexed citations
4.
Hammel, Ilan & Isaac Meilijson. (2014). Quantal Basis of Secretory Granule Biogenesis and Inventory Maintenance: the Surreptitious Nano-machine Behind It. PubMed. 2(3). e21–e21. 3 indexed citations
5.
Hammel, Ilan & Isaac Meilijson. (2012). Function suggests nano-structure: electrophysiology supports that granule membranes play dice. Journal of The Royal Society Interface. 9(75). 2516–2526. 11 indexed citations
6.
Cohen, Michéle & Isaac Meilijson. (2011). In search of characterization of the preference for safety under the Choquet model. RePEc: Research Papers in Economics. 1 indexed citations
7.
Reuveni, Shlomi, Isaac Meilijson, Martin Kupiec, Eytan Ruppin, & Tamir Tuller. (2011). Genome-Scale Analysis of Translation Elongation with a Ribosome Flow Model. PLoS Computational Biology. 7(9). e1002127–e1002127. 136 indexed citations
8.
Hammel, Ilan, et al.. (2010). Quantal basis of vesicle growth and information content, a unified approach. Journal of Theoretical Biology. 266(1). 202–209. 10 indexed citations
9.
Meilijson, Isaac, et al.. (2008). Can single knockouts accurately single out gene functions?. BMC Systems Biology. 2(1). 50–50. 39 indexed citations
10.
Dror, Gideon, et al.. (2006). Gene Expression of Caenorhabditis elegans Neurons Carries Information on Their Synaptic Connectivity. PLoS Computational Biology. 2(12). e167–e167. 44 indexed citations
11.
Keinan, Alon, et al.. (2006). Axiomatic Scalable Neurocontroller Analysis via the Shapley Value. Artificial Life. 12(3). 333–352. 35 indexed citations
12.
Dana, Rose‐Anne & Isaac Meilijson. (2003). Modelling agents’ preferences in complete markets by second order stochastic dominance. Economics Papers from University Paris Dauphine. 13 indexed citations
13.
Joel, Daphna, et al.. (2002). Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors. Adaptive Behavior. 10(1). 5–24. 46 indexed citations
14.
Levy, Nir, D. Horn, Isaac Meilijson, & Eytan Ruppin. (2001). Distributed synchrony in a cell assembly of spiking neurons. Neural Networks. 14(6-7). 815–824. 76 indexed citations
15.
Meilijson, Isaac, et al.. (2000). Who Does What? A Novel Algorithm to Determine Function Localization. Neural Information Processing Systems. 13. 3–9. 1 indexed citations
16.
Horn, D., Nir Levy, Isaac Meilijson, & Eytan Ruppin. (1999). Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly. Neural Information Processing Systems. 12. 129–135. 17 indexed citations
17.
Chechik, Gal, Isaac Meilijson, & Eytan Ruppin. (1999). Effective Learning Requires Neuronal Remodeling of Hebbian Synapses. Neural Information Processing Systems. 12. 96–102. 2 indexed citations
18.
Landsberger, Michael & Isaac Meilijson. (1999). A General Model of Insurance under Adverse Selection. SSRN Electronic Journal. 1 indexed citations
19.
Meilijson, Isaac. (1991). Sharp Bounds on the Largest of some Linear Combinations of Random Variables with Given Marginal Distributions. Probability in the Engineering and Informational Sciences. 5(1). 1–14. 4 indexed citations
20.
Meilijson, Isaac, et al.. (1982). Number of matches and matched people in the birthday problem. Communications in Statistics - Simulation and Computation. 11(3). 361–370. 2 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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