Isaac Meilijson

5.0k citations
101 papers · 3.3k indexed · h-index 33
Topics
Neural dynamics and brain function (22 papers)Advanced Memory and Neural Computing (14 papers)Risk and Portfolio Optimization (9 papers)

In The Last Decade

Isaac Meilijson

99 papers receiving 3.1k citations

Peers

Isaac Meilijson
Comparison fields: 5 of 169
  • Cognitive Neuroscience 752
  • Management Science and Operations Research 597
  • Economics and Econometrics 529
  • Molecular Biology 486
  • Artificial Intelligence 465
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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
#WorkIndexed citations
1 2
2 1
3 9
4 3
5 11
6
In search of characterization of the preference for safety under the Choquet model
1
7 136
8 10
9 39
10 44
11 35
12
Modelling agents’ preferences in complete markets by second order stochastic dominance
13
13 46
14 76
15
Who Does What? A Novel Algorithm to Determine Function Localization
1
16
Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly
17
17
Effective Learning Requires Neuronal Remodeling of Hebbian Synapses
2
18
A General Model of Insurance under Adverse Selection
1
19 4
20 2

About Isaac Meilijson

Isaac Meilijson is a scholar working on General Decision Sciences, Statistics and Probability and Management Science and Operations Research, having authored 101 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (22 papers), Advanced Memory and Neural Computing (14 papers) and Risk and Portfolio Optimization (9 papers). The work is most often cited by research in General Decision Sciences (202 citations), Management Science and Operations Research (597 citations) and Statistics and Probability (356 citations). Isaac Meilijson has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Eytan Ruppin, Michael Landsberger, Arthur Nádas, Gal Chechik, Martin Kupiec, Daphna Joel, Eyal Seidemann, Micha Abeles, Eilon Vaadia and Alain Chateauneuf. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of Neuroscience.

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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