Manoj Kumar

5.6k total citations
236 papers, 3.0k citations indexed

About

Manoj Kumar is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Manoj Kumar has authored 236 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Networks and Communications, 61 papers in Computer Vision and Pattern Recognition and 51 papers in Artificial Intelligence. Recurrent topics in Manoj Kumar's work include Digital Media Forensic Detection (27 papers), IoT and Edge/Fog Computing (23 papers) and Energy Efficient Wireless Sensor Networks (18 papers). Manoj Kumar is often cited by papers focused on Digital Media Forensic Detection (27 papers), IoT and Edge/Fog Computing (23 papers) and Energy Efficient Wireless Sensor Networks (18 papers). Manoj Kumar collaborates with scholars based in India, United Arab Emirates and Jordan. Manoj Kumar's co-authors include Thompson Stephan, Achyut Shankar, Premkumar Chithaluru, Fadi Al‐Turjman, Mohammed Alshehri, Akashdeep Bhardwaj, Hitesh Kumar Sharma, Sangeet Srivastava, Purushottam Sharma and Vikas Deep and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Annals of the New York Academy of Sciences.

In The Last Decade

Manoj Kumar

213 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manoj Kumar India 31 834 726 683 625 431 236 3.0k
Rongfang Bie China 28 899 1.1× 885 1.2× 642 0.9× 586 0.9× 651 1.5× 174 3.2k
Pradeep Kumar Singh India 30 1.1k 1.3× 722 1.0× 597 0.9× 759 1.2× 522 1.2× 171 3.3k
Shah Nazir Pakistan 29 893 1.1× 1.0k 1.4× 469 0.7× 784 1.3× 278 0.6× 173 3.6k
Achyut Shankar India 30 651 0.8× 624 0.9× 486 0.7× 501 0.8× 330 0.8× 181 2.5k
Ashutosh Sharma India 35 928 1.1× 763 1.1× 404 0.6× 894 1.4× 585 1.4× 134 3.5k
Moez Krichen Tunisia 31 870 1.0× 808 1.1× 355 0.5× 819 1.3× 471 1.1× 165 3.2k
Haruna Chiroma Nigeria 33 791 0.9× 1.2k 1.7× 411 0.6× 841 1.3× 504 1.2× 132 3.6k
Faisal Saeed Saudi Arabia 29 657 0.8× 901 1.2× 370 0.5× 435 0.7× 417 1.0× 196 3.0k
Sharnil Pandya India 28 590 0.7× 1.0k 1.4× 427 0.6× 411 0.7× 262 0.6× 61 2.8k
Jafar A. Alzubi Jordan 28 874 1.0× 1.0k 1.4× 413 0.6× 574 0.9× 473 1.1× 83 2.8k

Countries citing papers authored by Manoj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoj Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Kumar. A scholar is included among the top collaborators of Manoj 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 Manoj Kumar. Manoj 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.
Abhishek, Kumar, et al.. (2025). Revolutionising anomaly detection: a hybrid framework for anomaly detection integrating isolation forest, autoencoder, and Conv. LSTM. Knowledge and Information Systems. 67(12). 11903–11953. 1 indexed citations
2.
Kumar, Manoj, et al.. (2024). Intelligent waste classification approach based on improved multi-layered convolutional neural network. Multimedia Tools and Applications. 83(36). 84095–84120. 15 indexed citations
3.
Kumar, Manoj, et al.. (2024). Role of Python in Rapid Web Application Development Using Django. SSRN Electronic Journal. 3 indexed citations
4.
Jain, Deepak Kumar, Manoj Kumar, & Laith Abualigah. (2024). Spline magnitude disparity cross correlated deep network for gait recognition. Artificial Intelligence Review. 57(4).
5.
6.
Sharma, Preeti, et al.. (2024). Generative adversarial networks (GANs): Introduction, Taxonomy, Variants, Limitations, and Applications. Multimedia Tools and Applications. 83(41). 88811–88858. 35 indexed citations
7.
Chithaluru, Premkumar, Fadi Al‐Turjman, Manoj Kumar, & Thompson Stephan. (2023). Energy-balanced neuro-fuzzy dynamic clustering scheme for green & sustainable IoT based smart cities. Sustainable Cities and Society. 90. 104366–104366. 28 indexed citations
8.
Ramadevi, Y., et al.. (2023). An opportunistic energy‐efficient dynamic self‐configuration clustering algorithm in WSN‐based IoT networks. International Journal of Communication Systems. 37(1). 23 indexed citations
9.
10.
Madhu, G., et al.. (2023). XCovNet: An optimized xception convolutional neural network for classification of COVID-19 from point-of-care lung ultrasound images. Multimedia Tools and Applications. 83(11). 33653–33674. 17 indexed citations
11.
Kumar, Manoj, et al.. (2023). A novel authentication protocol to ensure confidentiality among the Internet of Medical Things in covid-19 and future pandemic scenario. Internet of Things. 22. 100797–100797. 14 indexed citations
12.
Banerjee, Anuradha, et al.. (2023). UAV‐IoT collaboration: Energy and time‐saving task scheduling scheme. International Journal of Communication Systems. 36(14). 13 indexed citations
13.
Kumar, Manoj, et al.. (2022). Neural Network-based Game Theory Approach for Personalized Privacy Preservation in Data Publishing. Journal of System and Management Sciences. 1 indexed citations
14.
Kumar, Manoj, et al.. (2022). A novel protocol for efficient authentication in cloud-based IoT devices. Multimedia Tools and Applications. 81(10). 13823–13843. 12 indexed citations
15.
Bhardwaj, Akashdeep, et al.. (2021). Privacy-aware detection framework to mitigate new-age phishing attacks. Computers & Electrical Engineering. 96. 107546–107546. 21 indexed citations
16.
Raheja, Supriya, et al.. (2021). A smart intuitionistic fuzzy-based framework for round-robin short-term scheduler. The Journal of Supercomputing. 78(4). 4655–4679. 11 indexed citations
17.
Janarthanan, R., et al.. (2021). Intelligent Detection of the PV Faults Based on Artificial Neural Network and Type 2 Fuzzy Systems. Energies. 14(20). 6584–6584. 75 indexed citations
18.
Alshehri, Mohammed, et al.. (2020). Principal component analysis, hidden Markov model, and artificial neural network inspired techniques to recognize faces. Concurrency and Computation Practice and Experience. 33(9). 30 indexed citations
19.
Kumar, Manoj, et al.. (2019). Security analysis of a Novel Remote User Authentication Scheme. Journal of Environmental Science Computer Science and Engineering & Technology. 8(3). 1 indexed citations
20.
Kumari, Saru, Mridul Kumar Gupta, & Manoj Kumar. (2011). An Improved Smart Card Based Remote user Authentication Scheme with Session Key Agreement During the Verification Phase. SHILAP Revista de lepidopterología. 5 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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2026