Ami Arbel

1.7k citations
55 papers · 1.3k · h-index 16

Impact in

Papers in

Ami Arbel

51 papers receiving 1.2k citations

Peers

Ami Arbel
Comparison fields: 5 of 96
  • Management Science and Operations Research 571
  • Control and Systems Engineering 556
  • Numerical Analysis 109
  • Statistics and Probability 139
  • Computational Theory and Mathematics 246
Replace Eng Ung Choo with:
Eng Ung Choo Canada
MADAN G. SINGH United Kingdom
Cerry M. Klein United States
George Bojadziev Canada
Eduardo Conde Spain
Thomas Feuring Germany
Waldemar W. Koczkodaj Canada
Po-Lung Yu United States
Monga Kalonda Luhandjula South Africa
Ami Arbel relative to Eng Ung Choo Canada Eng Ung Choo's profile →
Citations per field
00.5×1.5×
Eng Ung Choo · 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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977230
2 1989213
3 1993128
4 198497
5 198195
6 199076
7 198162
8 198230
9 199226
10 198223
11 198421
12 198320
13 198418
14 199317
15 199417
16 198416
17 197916
18 199315
19 198514
20 198614

About Ami Arbel

Ami Arbel is a scholar working on Numerical Analysis, Control and Systems Engineering, Computational Theory and Mathematics, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (14 papers), Advanced Control Systems Optimization (11 papers), Advanced Multi-Objective Optimization Algorithms (10 papers), Optimization and Mathematical Programming (10 papers), Multi-Criteria Decision Making (8 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 (571 citations), Control and Systems Engineering (556 citations), Numerical Analysis (109 citations), Statistics and Probability (139 citations) and Computational Theory and Mathematics (246 citations). Ami Arbel has collaborated with scholars based in Israel and United States. Frequent co-authors include David G. Luenberger, Abraham Avi Seidmann, Luis Gerardo Vargas, Yair E. Orgler, N.K. Gupta, Shmuel S. Oren, Richard M. Tong, Edison T.S. Tse, Pekka Korhonen and Yoram Shapira. Their work appears in journals such as Journal of the Operational Research Society, European Journal of Operational Research, 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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