Kuldeep Singh

93 total papers · 1.4k total citations
56 papers, 868 citations indexed

About

Kuldeep Singh is a scholar working on Statistical and Nonlinear Physics, Information Systems and Artificial Intelligence. According to data from OpenAlex, Kuldeep Singh has authored 56 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistical and Nonlinear Physics, 18 papers in Information Systems and 16 papers in Artificial Intelligence. Recurrent topics in Kuldeep Singh's work include Complex Network Analysis Techniques (17 papers), Data Mining Algorithms and Applications (14 papers) and Opinion Dynamics and Social Influence (12 papers). Kuldeep Singh is often cited by papers focused on Complex Network Analysis Techniques (17 papers), Data Mining Algorithms and Applications (14 papers) and Opinion Dynamics and Social Influence (12 papers). Kuldeep Singh collaborates with scholars based in India, Botswana and United States. Kuldeep Singh's co-authors include Shashank Sheshar Singh, Ajay Kumar, Bhaskar Biswas, Harish Kumar Shakya, Shivansh Mishra, Harendra Singh, Arup Kumar Sarma, Surendra Pratap Singh, Albert Y. Zomaya and Haldhar SM and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Kuldeep Singh

44 papers receiving 832 citations

Hit Papers

Link prediction technique... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Kuldeep Singh 573 456 210 149 110 56 868
Maseud Rahgozar 331 0.6× 474 1.0× 279 1.3× 124 0.8× 132 1.2× 75 917
Fragkiskos D. Malliaros 590 1.0× 397 0.9× 125 0.6× 122 0.8× 181 1.6× 40 963
Bryan Perozzi 346 0.6× 675 1.5× 115 0.5× 83 0.6× 114 1.0× 25 849
Masoud Asadpour 380 0.7× 387 0.8× 155 0.7× 58 0.4× 138 1.3× 61 834
Shuo Yu 299 0.5× 412 0.9× 263 1.3× 82 0.6× 77 0.7× 79 868
Djamel A. Zighed 460 0.8× 349 0.8× 178 0.8× 34 0.2× 120 1.1× 39 899
Alireza Rezvanian 299 0.5× 353 0.8× 142 0.7× 42 0.3× 313 2.8× 69 896
Chi Wang 465 0.8× 399 0.9× 222 1.1× 34 0.2× 170 1.5× 23 1000
Karthik Subbian 438 0.8× 432 0.9× 248 1.2× 39 0.3× 152 1.4× 43 865
Hasan Davulcu 155 0.3× 461 1.0× 350 1.7× 67 0.4× 191 1.7× 79 899

Countries citing papers authored by Kuldeep Singh

Since Specialization
Citations

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

Fields of papers citing papers by Kuldeep Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuldeep Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Kuldeep Singh. A scholar is included among the top collaborators of Kuldeep Singh 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 Kuldeep Singh. Kuldeep Singh 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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