Rakesh Kumar Bajaj

106 total papers · 1.1k total citations
71 papers, 739 citations indexed

About

Rakesh Kumar Bajaj is a scholar working on Management Science and Operations Research, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Rakesh Kumar Bajaj has authored 71 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Management Science and Operations Research, 24 papers in Statistics and Probability and 21 papers in Artificial Intelligence. Recurrent topics in Rakesh Kumar Bajaj's work include Multi-Criteria Decision Making (55 papers), Fuzzy Systems and Optimization (20 papers) and Optimization and Mathematical Programming (17 papers). Rakesh Kumar Bajaj is often cited by papers focused on Multi-Criteria Decision Making (55 papers), Fuzzy Systems and Optimization (20 papers) and Optimization and Mathematical Programming (17 papers). Rakesh Kumar Bajaj collaborates with scholars based in India, Saudi Arabia and China. Rakesh Kumar Bajaj's co-authors include Harinder P. Singh, Varun Shukla, D. S. Hooda, Ram Prakash Dwivedi, Nitin Gupta, Jimson Mathew, Mohd Dilshad Ansari, Ashutosh Sharma, Rajiv Kumar and Piyush Kumar Shukla and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and Expert Systems with Applications.

In The Last Decade

Rakesh Kumar Bajaj

66 papers receiving 709 citations

Author Peers

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

Author Last Decade Papers Cites
Rakesh Kumar Bajaj 553 195 171 166 139 71 739
Sidong Xian 640 1.2× 232 1.2× 259 1.5× 256 1.5× 148 1.1× 64 868
Xiaohan Yu 581 1.1× 289 1.5× 202 1.2× 130 0.8× 161 1.2× 36 766
Ahmad N. Al‐Kenani 543 1.0× 223 1.1× 187 1.1× 246 1.5× 127 0.9× 62 748
Bapi Dutta 564 1.0× 159 0.8× 247 1.4× 147 0.9× 138 1.0× 46 855
Kifayat Ullah 640 1.2× 269 1.4× 114 0.7× 148 0.9× 161 1.2× 40 774
Muhammad Jabir Khan 715 1.3× 243 1.2× 181 1.1× 236 1.4× 214 1.5× 34 832
Anam Luqman 615 1.1× 196 1.0× 140 0.8× 262 1.6× 109 0.8× 27 752
Sándor Bozóki 588 1.1× 118 0.6× 142 0.8× 159 1.0× 80 0.6× 52 891
Rajkumar Verma 716 1.3× 276 1.4× 212 1.2× 200 1.2× 281 2.0× 52 830
Donghai Liu 608 1.1× 218 1.1× 159 0.9× 191 1.2× 163 1.2× 34 721

Countries citing papers authored by Rakesh Kumar Bajaj

Since Specialization
Citations

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

Fields of papers citing papers by Rakesh Kumar Bajaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakesh Kumar Bajaj

This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Kumar Bajaj. A scholar is included among the top collaborators of Rakesh Kumar Bajaj 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 Rakesh Kumar Bajaj. Rakesh Kumar Bajaj 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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