Prem Kumar Singh

101 papers receiving 1.6k citations

Peers

Prem Kumar Singh
Comparison fields: 5 of 109
  • Management Science and Operations Research 775
  • Computational Theory and Mathematics 956
  • Signal Processing 292
  • Artificial Intelligence 641
  • Information Systems 262
Replace Lu An with:
Lu An China
Sunil Mathew India
Supriya Kumar De India
Aswani Kumar Cherukuri India
Sohail Zafar Pakistan
Moussa Larbani Malaysia
Fabio A. Stella Italy
Ljiljana Branković Australia
Daniel Berleant United States
Szymon Jaroszewicz Poland
Prem Kumar Singh relative to Lu An China Lu An's profile →
Citations per field
00.5×2×4×6×8×9.4×
Lu An · 1×
Citations per year

Countries citing papers authored by Prem Kumar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Prem Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prem Kumar Singh. 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 Prem Kumar Singh. The network helps show where Prem Kumar Singh may publish in the future.

Co-authors

The 25 scholars most cited alongside Prem Kumar Singh, 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 Prem Kumar Singh Line = papers co-authored together Prem Kumar Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014116
2 2016114
3 201676
4 201469
5 202266
6 201563
7 201548
8 201743
9 201743
10 201742
11 201339
12 198138
13 201636
14 201736
15 201833
16 201233
17 201730
18 201827
19 201827
20 202025

About Prem Kumar Singh

Prem Kumar Singh is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Signal Processing, Artificial Intelligence and Information Systems, having authored 107 papers that have together received 1.6k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (57 papers), Multi-Criteria Decision Making (43 papers), Fuzzy Logic and Control Systems (18 papers), Data Management and Algorithms (16 papers), Advanced Algebra and Logic (14 papers), Data Mining Algorithms and Applications (14 papers), Fuzzy and Soft Set Theory (8 papers) and Cognitive Science and Mapping (7 papers). The work is most often cited by research in Management Science and Operations Research (775 citations), Computational Theory and Mathematics (956 citations), Signal Processing (292 citations), Artificial Intelligence (641 citations) and Information Systems (262 citations). Prem Kumar Singh has collaborated with scholars based in India, United States and Morocco. Frequent co-authors include Ch. Aswani Kumar, Abdullah Gani, Jinhai Li, Aswani Kumar Cherukuri, Said Broumi, Ganeshsree Selvachandran, Jagdish Prasad Tandon, Mohamed Talea, Assia Bakali and Ainuddin Wahid Abdul Wahab. Their work appears in journals such as Granular Computing, Neural Processing Letters, Soft Computing, International Journal of Machine Learning and Cybernetics and Arabian Journal for Science and Engineering.

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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