Salim Rezvani

25 total papers · 738 total citations
20 papers, 485 citations indexed

About

Salim Rezvani is a scholar working on Management Science and Operations Research, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Salim Rezvani has authored 20 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 10 papers in Statistics and Probability and 8 papers in Artificial Intelligence. Recurrent topics in Salim Rezvani's work include Multi-Criteria Decision Making (12 papers), Fuzzy Systems and Optimization (10 papers) and Optimization and Mathematical Programming (6 papers). Salim Rezvani is often cited by papers focused on Multi-Criteria Decision Making (12 papers), Fuzzy Systems and Optimization (10 papers) and Optimization and Mathematical Programming (6 papers). Salim Rezvani collaborates with scholars based in Iran, China and Canada. Salim Rezvani's co-authors include Xizhao Wang, Farhad Pourpanah, Javad Vahidi, Q. M. Jonathan Wu and Chee Peng Lim and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Information Sciences.

In The Last Decade

Salim Rezvani

19 papers receiving 437 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Salim Rezvani	244	158	141	122	115	20	485
Mohamadtaghi Rahimi	131 0.5×	74 0.5×	38 0.3×	68 0.6×	30 0.3×	14	434
Leticia Cervantes	297 1.2×	100 0.6×	187 1.3×	33 0.3×	98 0.9×	18	479
W.L. Tung	369 1.5×	101 0.6×	83 0.6×	46 0.4×	17 0.1×	22	544
Ryohei Fujimaki	309 1.3×	50 0.3×	64 0.5×	73 0.6×	40 0.3×	40	503
Marzieh Zarinbal	208 0.9×	65 0.4×	33 0.2×	178 1.5×	33 0.3×	25	443
Aivars Celmiņš	224 0.9×	259 1.6×	75 0.5×	20 0.2×	288 2.5×	18	488
Hadi Fanaee‐T	276 1.1×	50 0.3×	37 0.3×	49 0.4×	41 0.4×	23	541
Jun Zhan	172 0.7×	178 1.1×	123 0.9×	38 0.3×	35 0.3×	21	473
Hirotaka Hachiya	334 1.4×	39 0.2×	72 0.5×	145 1.2×	56 0.5×	39	540
G.A. Vijayalakshmi Pai	153 0.6×	159 1.0×	48 0.3×	84 0.7×	11 0.1×	34	543

Countries citing papers authored by Salim Rezvani

Since Specialization

Citations

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

Fields of papers citing papers by Salim Rezvani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salim Rezvani

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

All Works

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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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