Arun Sarkar

487 citations
25 papers · 312 indexed · h-index 10
Topics
Multi-Criteria Decision Making (23 papers)Optimization and Mathematical Programming (15 papers)Fuzzy Systems and Optimization (8 papers)
Partner nations
IndiaChinaIreland

In The Last Decade

Arun Sarkar

23 papers receiving 301 citations

Peers

Arun Sarkar
Comparison fields: 5 of 53
  • Management Science and Operations Research 241
  • Control and Systems Engineering 132
  • Statistics and Probability 69
  • Artificial Intelligence 51
  • Computational Theory and Mathematics 34
Replace Mohammed M. Ali Al-Shamiri with:
Mohammed M. Ali Al-Shamiri Saudi Arabia
Amna Habib Pakistan
Saifullah Khan Pakistan
Sevcan Yılmaz Türkiye
Khizar Hayat Pakistan
Yu-Han Huang China
Feiyu Zhu United States
Yumei Wang China
Kaiyuan Bai China
Tayebeh Hajjari Iran
Arun Sarkar relative to Mohammed M. Ali Al-Shamiri Saudi Arabia Mohammed M. Ali Al-Shamiri's profile →
Citations per field
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Mohammed M. Ali Al-Shamiri · 1×
Citations per year

Countries citing papers authored by Arun Sarkar

Since Specialization
Citations

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

Fields of papers citing papers by Arun Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Sarkar

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Sarkar. A scholar is included among the top collaborators of Arun Sarkar 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 Arun Sarkar. Arun Sarkar 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 0
2 0
3 12
4 1
5 1
6 2
7 2
8 52
9 6
10 16
11 8
12 53
13 4
14 11
15 6
16 9
17 3
18 33
19 6
20 13

About Arun Sarkar

Arun Sarkar is a scholar working on Management Science and Operations Research, Statistics and Probability and Control and Systems Engineering, having authored 25 papers that have together received 312 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (23 papers), Optimization and Mathematical Programming (15 papers) and Fuzzy Systems and Optimization (8 papers). The work is most often cited by research in Management Science and Operations Research (241 citations), Statistics and Probability (69 citations) and Control and Systems Engineering (132 citations). Arun Sarkar has collaborated with scholars based in India, China and Ireland. Frequent co-authors include Animesh Biswas, Tapan Senapati, LeSheng Jin, Sarbast Moslem, Muhammad Akram, Domokos Esztergár‐Kiss, Ronald R. Yager, Radko Mesiar, Guiyun Chen and Paul Augustine Ejegwa. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and Engineering Applications of Artificial Intelligence.

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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