Ami Arbel

1.7k citations
50 papers · 1.2k · h-index 15

Impact in

Papers in

Ami Arbel

46 papers receiving 1.1k citations

Peers

Ami Arbel
Comparison fields: 5 of 95
  • Management Science and Operations Research 488
  • Control and Systems Engineering 474
  • Numerical Analysis 91
  • Statistics and Probability 113
  • Computational Theory and Mathematics 215
Replace M.G. Singh with:
M.G. Singh France
Po-Lung Yu United States
Cerry M. Klein United States
G. Bojadziev Canada
Waldemar W. Koczkodaj Canada
Thomas Feuring Germany
Behnam Malakooti United States
V. I. Norkin Ukraine
Gerd Bohlender Germany
Ami Arbel relative to M.G. Singh France M.G. Singh's profile →
Citations per field
00.5×2.9×
M.G. Singh · 1×
Citations per year

Countries citing papers authored by Ami Arbel

Since Specialization
Citations

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

Fields of papers citing papers by Ami Arbel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Ami Arbel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ami Arbel Line = papers co-authored together Ami Arbel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977213
2 1989187
3 1993114
4 198191
5 198485
6 199072
7 198159
8 198225
9 198422
10 198220
11 198319
12 199316
13 198416
14 198416
15 197915
16 199314
17 199414
18 198513
19 198613
20 198613

About Ami Arbel

Ami Arbel is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Numerical Analysis, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (12 papers), Advanced Control Systems Optimization (10 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Optimization and Mathematical Programming (7 papers), Multi-Criteria Decision Making (6 papers), Scheduling and Optimization Algorithms (5 papers), Advanced Manufacturing and Logistics Optimization (4 papers) and Control Systems and Identification (4 papers). The work is most often cited by research in Management Science and Operations Research (488 citations), Control and Systems Engineering (474 citations), Numerical Analysis (91 citations), Statistics and Probability (113 citations) and Computational Theory and Mathematics (215 citations). Ami Arbel has collaborated with scholars based in Israel and United States. Frequent co-authors include David G. Luenberger, Abraham Seidmann, Luís G. Vargas, Yair E. Orgler, N.K. Gupta, Edison Tse, Richard M. Tong, Shmuel S. Oren, Yoram Shapira and Pekka Korhonen. Their work appears in journals such as European Journal of Operational Research, Journal of the Operational Research Society, International Journal of Control, IEEE Transactions on Automatic Control and Computers & Operations Research.

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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