Rakesh Kumar Bajaj

1.1k total citations
72 papers, 751 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 72 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 58 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 (56 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 (56 papers), Fuzzy Systems and Optimization (20 papers) and Optimization and Mathematical Programming (17 papers). Rakesh Kumar Bajaj collaborates with scholars based in India, United Kingdom and China. Rakesh Kumar Bajaj's co-authors include Harinder P. Singh, Varun Shukla, D. S. Hooda, Nitin Gupta, Ram Prakash Dwivedi, Mohd Dilshad Ansari, Jimson Mathew, Ashutosh Sharma, Piyush Kumar Shukla and Prashant 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

68 papers receiving 718 citations

Peers

Rakesh Kumar Bajaj

MSOR

CSE

CTM

Sidong Xian China

Anam Luqman Pakistan

Xiaohan Yu China

Kifayat Ullah Pakistan

Palash Dutta India

Muhammad Jabir Khan Thailand

Bapi Dutta Spain

Ahmad N. Al‐Kenani Saudi Arabia

Utpal Mandal India

Sidong Xian China

Rakesh Kumar Bajaj

645 ×1.1

MSOR

231 ×1.2

CSE

263 ×1.5

259 ×1.5

CTM

149 ×1.1

Citations per year, relative to Rakesh Kumar Bajaj Rakesh Kumar Bajaj (= 1×) peers Sidong Xian

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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20 of 20 papers shown

Bajaj, Rakesh Kumar, et al.. (2025). On clustering and TOPSIS decision-making technique with new trigonometric information measures under T-spherical fuzzy hypersoft structures. Expert Systems with Applications. 289. 128356–128356. 1 indexed citations

Sharma, Aman, et al.. (2024). On identifying suitable hydrogen power plant location under T-spherical fuzzy hypersoft matrix structures. International Journal of Hydrogen Energy. 68. 1057–1071. 2 indexed citations

Shukla, Varun, et al.. (2024). On Similarity Measures of Complex Picture Fuzzy Sets With Applications in the Field of Pattern Recognition. IEEE Access. 12. 83104–83117. 7 indexed citations

Shukla, Varun, et al.. (2024). A Secure Signature Verification Mechanism for Smooth Authentication Process. 1–4. 1 indexed citations

Bajaj, Rakesh Kumar, et al.. (2023). On Clustering and Pattern Recognition Techniques Utilizing Bi-parametric Picture Fuzzy (R,S)-Norm Discriminant Information Measure. Scientia Iranica. 0(0). 0–0. 4 indexed citations

Bajaj, Rakesh Kumar, et al.. (2023). On some new aggregation operators for T-spherical fuzzy hypersoft sets with application in renewable energy sources. International Journal of Information Technology. 15(5). 2457–2467. 6 indexed citations

Bajaj, Rakesh Kumar, et al.. (2023). On utilizing modified TOPSIS with R-norm q-rung picture fuzzy information measure green supplier selection. International Journal of Information Technology. 15(5). 2819–2825. 16 indexed citations

Muskan, Muskan, et al.. (2023). On Medical Diagnosis Problem Utilizing Parametric Neutrosophic Discriminant Measure. 1–5. 2 indexed citations

Bajaj, Rakesh Kumar, et al.. (2023). On various aggregation operators for picture fuzzy hypersoft information in decision making application. Journal of Intelligent & Fuzzy Systems. 44(5). 7419–7447. 11 indexed citations

10.

Bajaj, Rakesh Kumar, et al.. (2023). On potential strategic framework for green supply chain management in the energy sector using q-rung picture fuzzy AHP & WASPAS decision-making model. Expert Systems with Applications. 237. 121550–121550. 24 indexed citations

11.

Bajaj, Rakesh Kumar, et al.. (2022). On Renewable Energy Source Selection Methodologies Utilizing Picture Fuzzy Hypersoft Information with Choice and Value Matrices. Scientia Iranica. 0(0). 0–0. 13 indexed citations

12.

Bajaj, Rakesh Kumar, et al.. (2021). On Some New Statistical Correlation Measures for T -spherical Fuzzy Sets and Applications in Soft Computing.. Journal of information science and engineering. 37. 323–336. 8 indexed citations

13.

Bajaj, Rakesh Kumar, et al.. (2020). A novel probabilistic distance measure for picture fuzzy sets with its application in classification problems. Hacettepe Journal of Mathematics and Statistics. 49(6). 2134–2153. 13 indexed citations

14.

Bajaj, Rakesh Kumar, et al.. (2019). Pythagorean fuzzy ( R , S )-norm discriminant measure in various decision making processes. Journal of Intelligent & Fuzzy Systems. 38(1). 761–777. 6 indexed citations

15.

Bajaj, Rakesh Kumar, et al.. (2019). T-Spherical Fuzzy Graphs: Operations and Applications in Various Selection Processes. Arabian Journal for Science and Engineering. 45(3). 2177–2193. 42 indexed citations

16.

Bajaj, Rakesh Kumar, et al.. (2018). Multi-criteria Decision Making with Triangular Intuitionistic Fuzzy Number based on Distance Measure & Parametric Entropy Approach. Procedia Computer Science. 125. 34–41. 26 indexed citations

17.

Bajaj, Rakesh Kumar, et al.. (2018). Credibility distribution based R-norm fuzzy information measures in noiseless coding theorems. International Journal of General Systems. 48(3). 302–320. 3 indexed citations

18.

Bajaj, Rakesh Kumar, et al.. (2014). Intuitionistic Fuzzy Weighted Linear Regression Model with Fuzzy Entropy under Linear Restrictions. International Scholarly Research Notices. 2014. 1–10. 3 indexed citations

19.

Gupta, Nitin, et al.. (2012). Reliability Evaluation of Series and Parallel Systems Using Trapezoidal Intuitionistic Fuzzy Sets. 42. 219–222. 1 indexed citations

20.

Bajaj, Rakesh Kumar & Nitin Gupta. (2012). Utility and Fuzziness Aspects of the Information Measures in Experimental Observations and Computations. 24. 9–13. 1 indexed citations

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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