Tapan Senapati

5.8k citations
146 papers · 4.0k indexed · 5 hit papers · h-index 29
Topics
Multi-Criteria Decision Making (119 papers)Optimization and Mathematical Programming (49 papers)Fuzzy and Soft Set Theory (40 papers)
Journals
SHILAP Revista de lepidopterologíaApplied EnergyExpert Systems with Applications
Partner nations
ChinaIndiaPakistan

In The Last Decade

Tapan Senapati

140 papers receiving 3.8k citations

Hit Papers

Fermatean fuzzy sets201820262020202320192019201820192021200400600

Peers

Tapan Senapati
Comparison fields: 5 of 112
  • Management Science and Operations Research 3.3k
  • Control and Systems Engineering 1.3k
  • Computational Theory and Mathematics 797
  • Artificial Intelligence 737
  • Statistics and Probability 699
Replace Shouzhen Zeng with:
Shouzhen Zeng China
Kifayat Ullah Pakistan
Xunjie Gou China
Ligang Zhou China
Jiu-Ying Dong China
Muhammad Riaz Pakistan
Shu‐Ping Wan China
Fanyong Meng China
Shahzaib Ashraf Pakistan
Xindong Peng China
Tapan Senapati relative to Shouzhen Zeng China Shouzhen Zeng's profile →
Citations per field
00.5×2.6×
Shouzhen Zeng · 1×
Citations per year

Countries citing papers authored by Tapan Senapati

Since Specialization
Citations

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

Fields of papers citing papers by Tapan Senapati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tapan Senapati

This figure shows the co-authorship network connecting the top 25 collaborators of Tapan Senapati. A scholar is included among the top collaborators of Tapan Senapati 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 Tapan Senapati. Tapan Senapati 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 6
5 18
6 16
7 8
8 2
9 11
10 4
11 6
12 1
13 6
14 4
15 52
16 22
17 23
18 10
19 8
20 14

About Tapan Senapati

Tapan Senapati is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics, having authored 146 papers that have together received 4.0k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (119 papers), Optimization and Mathematical Programming (49 papers) and Fuzzy and Soft Set Theory (40 papers). The work is most often cited by research in Management Science and Operations Research (3.3k citations), Statistics and Probability (699 citations) and Control and Systems Engineering (1.3k citations). Tapan Senapati has collaborated with scholars based in China, India and Pakistan. Frequent co-authors include Ronald R. Yager, Madhumangal Pal, Guiyun Chen, Chiranjibe Jana, Sarbast Moslem, Radko Mesiar, Abhijit Saha, Vladimir Šimić, Monoranjan Bhowmik and Yuan Rong. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and Expert Systems with Applications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026