Rajiv Kumar

528 total citations
44 papers, 256 citations indexed

About

Rajiv Kumar is a scholar working on Artificial Intelligence, Information Systems and Industrial and Manufacturing Engineering. According to data from OpenAlex, Rajiv Kumar has authored 44 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Information Systems and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Rajiv Kumar's work include Metaheuristic Optimization Algorithms Research (7 papers), Scheduling and Optimization Algorithms (6 papers) and Municipal Solid Waste Management (3 papers). Rajiv Kumar is often cited by papers focused on Metaheuristic Optimization Algorithms Research (7 papers), Scheduling and Optimization Algorithms (6 papers) and Municipal Solid Waste Management (3 papers). Rajiv Kumar collaborates with scholars based in India, Malaysia and United States. Rajiv Kumar's co-authors include Minakshi Memoria, Ashulekha Gupta, Sanjeev Kumar, Kapil Joshi, Sanjeev Gill, Rakesh Kumar, Shiv Dayal Pandey, Dilip Kumar Jang Bahadur Saini, Sanjay Gupta and Wamda Nagmeldin and has published in prestigious journals such as IEEE Access, International Journal of Electrical and Computer Engineering (IJECE) and Journal of Global Research in Computer Sciences.

In The Last Decade

Rajiv Kumar

36 papers receiving 236 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rajiv Kumar India 11 63 59 26 25 20 44 256
Naila Aslam Pakistan 8 89 1.4× 103 1.7× 24 0.9× 27 1.1× 7 0.3× 20 274
Oluwafemi A. Sarumi Nigeria 10 45 0.7× 84 1.4× 31 1.2× 26 1.0× 7 0.3× 24 224
Rania Hodhod United States 9 76 1.2× 119 2.0× 19 0.7× 33 1.3× 11 0.6× 34 290
Ruhi Sharma Mittal India 6 33 0.5× 128 2.2× 22 0.8× 30 1.2× 11 0.6× 11 266
Amr Mohamed El Koshiry Saudi Arabia 6 53 0.8× 98 1.7× 13 0.5× 42 1.7× 6 0.3× 13 261
Entesar Hamed I. Eliwa Saudi Arabia 7 53 0.8× 98 1.7× 13 0.5× 44 1.8× 6 0.3× 17 270
Nikhil Ichalkaranje Australia 8 30 0.5× 102 1.7× 28 1.1× 28 1.1× 10 0.5× 20 259
Shahanawaj Ahamad Saudi Arabia 10 84 1.3× 62 1.1× 79 3.0× 28 1.1× 7 0.3× 45 273
Anas W. Abulfaraj Saudi Arabia 10 35 0.6× 75 1.3× 47 1.8× 13 0.5× 5 0.3× 26 215
Feng-Jen Yang United States 5 50 0.8× 119 2.0× 36 1.4× 25 1.0× 7 0.3× 20 258

Countries citing papers authored by Rajiv Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Rajiv Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajiv Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Rajiv Kumar. A scholar is included among the top collaborators of Rajiv Kumar 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 Rajiv Kumar. Rajiv Kumar 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
1.
Kumar, Rajiv, et al.. (2024). Comprehensive Study of Population Based Algorithms. 7(4). 195–217.
2.
Joshi, Kapil, Rajesh Kumar, Salil Bharany, et al.. (2024). Exploring the Connectivity Between Education 4.0 and Classroom 4.0: Technologies, Student Perspectives, and Engagement in the Digital Era. IEEE Access. 12. 24179–24204. 16 indexed citations
4.
Shukla, Sunil, et al.. (2023). An Integrating Computational Approach Review to Analyse the Biological Functions. 11. 139–144. 1 indexed citations
5.
Memoria, Minakshi, et al.. (2023). Bibliometric Analysis of White- Collar crimes- Concept and Development Using Artificial Intelligence. 317–320. 1 indexed citations
6.
Rani, Suman, et al.. (2023). Role of Fashion in Artificial Intelliegence in Digital Age. 1–6. 1 indexed citations
8.
Rani, Suman, Minakshi Memoria, Mamta Rani, & Rajiv Kumar. (2023). Breast Cancer Detection Using Mammographic Images over Convolutional Neural Network. 73–78. 7 indexed citations
10.
Joshi, Kapil, et al.. (2023). Industry 4.0: IoT and Cloud Computing Enabled Smart Waste Management System. 8 indexed citations
11.
Joshi, Kapil, et al.. (2022). A Framework Optimization in Social Media using Xampp: A Systematic Approach. 1–4. 3 indexed citations
13.
Gupta, Ashulekha, et al.. (2022). Artificial Intelligence And Smart Cities: A Bibliometric Analysis. 540–544. 16 indexed citations
14.
Kumar, Rajiv, et al.. (2022). Sentiment Analysis of Covid19 Vaccines Tweets Using NLP and Machine Learning Classifiers. 225–230. 15 indexed citations
17.
Memoria, Minakshi, et al.. (2022). SECURE MACHINE LEARNING BASED TRANSACTION SYSTEM USING FINGERPRINT AUTHENTICATION. 1–4. 15 indexed citations
18.
Kumar, Rajiv, et al.. (2021). Critical Analysis of Genetic Algorithm under Crossover and Mutation Rate. 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). 976–980. 17 indexed citations
20.
Kumar, Rajiv, et al.. (2012). A STUDY OF GENETIC ALGORITHM TO SOLVE TRAVELLING SALESMAN PROBLEM. Journal of Global Research in Computer Sciences. 3(3). 33–37. 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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