Jitendra Kumar

2.4k total citations · 1 hit paper
82 papers, 1.4k citations indexed

About

Jitendra Kumar is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jitendra Kumar has authored 82 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Information Systems, 25 papers in Artificial Intelligence and 21 papers in Computer Networks and Communications. Recurrent topics in Jitendra Kumar's work include Cloud Computing and Resource Management (22 papers), IoT and Edge/Fog Computing (12 papers) and Recommender Systems and Techniques (6 papers). Jitendra Kumar is often cited by papers focused on Cloud Computing and Resource Management (22 papers), IoT and Edge/Fog Computing (12 papers) and Recommender Systems and Techniques (6 papers). Jitendra Kumar collaborates with scholars based in India, Japan and Saudi Arabia. Jitendra Kumar's co-authors include Ashutosh Kumar Singh, Deepika Saxena, Rajkumar Buyya, Vrinda Gupta, Anand Mohan, Ishu Gupta, Xiaoqing Wen, Stefan Schmid, B. S. Bindhumadhava and Balaji Rajendran and has published in prestigious journals such as Information Sciences, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Jitendra Kumar

70 papers receiving 1.3k citations

Hit Papers

Long Short Term Memory Recurrent Neural Network (LSTM-RNN... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jitendra Kumar India 18 772 592 418 211 191 82 1.4k
Linpeng Huang China 15 457 0.6× 411 0.7× 331 0.8× 161 0.8× 88 0.5× 134 1.1k
Enda Howley Ireland 20 596 0.8× 622 1.1× 416 1.0× 105 0.5× 307 1.6× 64 1.4k
Yongjian Yang China 23 343 0.4× 387 0.7× 476 1.1× 222 1.1× 308 1.6× 122 1.8k
Arka Bhattacharya United States 13 494 0.6× 572 1.0× 209 0.5× 277 1.3× 252 1.3× 24 1.1k
Vlado Stankovski Slovenia 21 981 1.3× 975 1.6× 270 0.6× 148 0.7× 129 0.7× 91 1.7k
Tania Cerquitelli Italy 22 363 0.5× 250 0.4× 502 1.2× 195 0.9× 188 1.0× 135 1.5k
Li Kuang China 19 421 0.5× 435 0.7× 437 1.0× 174 0.8× 208 1.1× 100 1.3k
Ashiq Anjum United Kingdom 23 595 0.8× 812 1.4× 335 0.8× 139 0.7× 218 1.1× 100 1.8k
Stephan Reiff‐Marganiec United Kingdom 18 822 1.1× 821 1.4× 533 1.3× 98 0.5× 198 1.0× 97 1.5k
Khalid Elgazzar Canada 20 544 0.7× 736 1.2× 369 0.9× 145 0.7× 224 1.2× 120 1.5k

Countries citing papers authored by Jitendra Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Jitendra Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jitendra Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Jitendra Kumar. A scholar is included among the top collaborators of Jitendra 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 Jitendra Kumar. Jitendra 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
2.
Akilan, Thangarajah, et al.. (2025). Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation. Procedia Computer Science. 260. 906–913. 6 indexed citations
3.
Kumar, Jitendra, et al.. (2025). An Analysis of YOLOvX Deep Learning Models for Colon Cancer Detection. Procedia Computer Science. 260. 81–90. 1 indexed citations
4.
Kumar, Jitendra, et al.. (2025). Leveraging artificial intelligence (AI) for information dissemination and decision support in livestock husbandry. International Journal of Advanced Biochemistry Research. 9(1S). 570–574.
5.
Kumar, Jitendra, et al.. (2024). A Capacitive In-Memory Computing Unit for Vector-Matrix Multiplication. 1–4. 1 indexed citations
6.
Kumar, Jitendra, et al.. (2024). DeepCPD: deep learning with vision transformer for colorectal polyp detection. Multimedia Tools and Applications. 83(32). 78183–78206.
7.
Saxena, Deepika, et al.. (2024). An Adaptive Evolutionary Neural Network Model for Load Management in Smart Grid Environment. IEEE Transactions on Network and Service Management. 22(1). 242–254. 4 indexed citations
8.
Kumar, Jitendra, et al.. (2023). A literature review on Toxicogenomics. Journal of Ayurveda and Integrated Medical Sciences. 8(7). 151–155. 1 indexed citations
9.
Kumar, Jitendra & Bidyut Kr. Patra. (2022). Enhanced Group Recommendations using member inclination and item usefulness. 2022 IEEE 19th India Council International Conference (INDICON). 1–6.
10.
Kumar, Jitendra, et al.. (2022). Enhancing Group Recommendation Using Attention Mechanisam. 2022 IEEE 19th India Council International Conference (INDICON). 1–6. 2 indexed citations
11.
Rizwan, Ali, et al.. (2022). An Internet of Things (IoT) Based Block Chain Technology to Enhance the Quality of Supply Chain Management (SCM). Mathematical Problems in Engineering. 2022. 1–12. 23 indexed citations
12.
Saxena, Deepika, Ishu Gupta, Jitendra Kumar, Ashutosh Kumar Singh, & Xiaoqing Wen. (2021). A Secure and Multiobjective Virtual Machine Placement Framework for Cloud Data Center. IEEE Systems Journal. 16(2). 3163–3174. 67 indexed citations
13.
Kumar, Jitendra & Ashutosh Kumar Singh. (2020). Adaptive Learning based Prediction Framework for Cloud Datacenter Networks' Workload Anticipation.. Journal of information science and engineering. 36. 981–992. 3 indexed citations
14.
Kumar, Jitendra, et al.. (2019). Recent trends in Robots Smart Material and its application in Aeronautical and Aerospace Industries. Journal of Physics Conference Series. 1172. 12035–12035. 5 indexed citations
15.
Kumar, Jitendra, et al.. (2018). EFFICIENT SECURITY FRAMEWORK FOR DATA INTEGRITY AND DATA ACCESS IN CLOUD ENVIRONMENT. International Journal of Advanced Research in Computer Science. 9(2). 831–833. 1 indexed citations
16.
Singh, Yash Veer, Bijendra Kumar, Satish Chand, & Jitendra Kumar. (2018). A Comparative Analysis and Proposing ‘ANN Fuzzy AHP Model’ for Requirements Prioritization. International Journal of Information Technology and Computer Science. 10(4). 55–65. 6 indexed citations
17.
Kumar, Jitendra. (2013). MAINTENANCE PERFORMANCE METRICS FOR MANUFACTURING INDUSTRY. International Journal of Research in Engineering and Technology. 2(2). 136–142. 7 indexed citations
18.
Kumar, Jitendra, et al.. (2013). Mass Customization In Supply Chain Management Environment: A Review. Zenodo (CERN European Organization for Nuclear Research). 7(2). 249–254. 3 indexed citations
19.
Kumar, Jitendra, et al.. (2013). GPU based parallel cooperative Particle Swarm Optimization using C-CUDA: A case study. 1–8. 19 indexed citations
20.
Kumar, Jitendra, et al.. (2010). Performance Prediction on Multi-core Processors. 633–637. 9 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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