Jonathan Barzilai

4.8k total citations · 1 hit paper
29 papers, 3.1k citations indexed

About

Jonathan Barzilai is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Jonathan Barzilai has authored 29 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Management Science and Operations Research, 10 papers in Computational Theory and Mathematics and 9 papers in Artificial Intelligence. Recurrent topics in Jonathan Barzilai's work include Multi-Criteria Decision Making (15 papers), Bayesian Modeling and Causal Inference (6 papers) and Decision-Making and Behavioral Economics (6 papers). Jonathan Barzilai is often cited by papers focused on Multi-Criteria Decision Making (15 papers), Bayesian Modeling and Causal Inference (6 papers) and Decision-Making and Behavioral Economics (6 papers). Jonathan Barzilai collaborates with scholars based in Canada, Israel and Netherlands. Jonathan Barzilai's co-authors include Jonathan M. Borwein, Boaz Golany, Wade D. Cook, Freerk A. Lootsma, Moshe Kress, Aharon Ben‐Tal, Nova Scotia and M. A. H. Dempster and has published in prestigious journals such as Management Science, Journal of the Operational Research Society and SIAM Journal on Numerical Analysis.

In The Last Decade

Jonathan Barzilai

27 papers receiving 2.8k citations

Hit Papers

Two-Point Step Size Gradient Methods 1988 2026 2000 2013 1988 500 1000 1.5k

Peers

Jonathan Barzilai
Comparison fields: 5 of 155
  • Management Science and Operations Research 850
  • Computational Mechanics 767
  • Numerical Analysis 711
  • Computational Theory and Mathematics 633
  • Artificial Intelligence 489
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Citations per field, relative to Jonathan Barzilai
Jonathan Barzilai · 1×
Citations per year, relative to Jonathan Barzilai
Jonathan Barzilai · 1×

Countries citing papers authored by Jonathan Barzilai

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Barzilai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Barzilai

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Barzilai. A scholar is included among the top collaborators of Jonathan Barzilai 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 Jonathan Barzilai. Jonathan Barzilai 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
# Work Indexed citations
1
Demand Theory is Founded on Errors
1
2
On the Construction of Trust Metrics
1
3
Inapplicable operations on ordinal, cardinal, and expected utility
5
4
On the Mathematical Foundations of Economic Theory
3
5
Game Theory Foundational Errors — Part II
2
6 7
7 40
8 125
9 7
10 14
11 5
12 86
13 257
14 24
15 3
16 1
17 11
18 162
19 11
20 4

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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