Anil Kumar

4.7k total citations
252 papers, 2.9k citations indexed

About

Anil Kumar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anil Kumar has authored 252 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Networks and Communications, 46 papers in Electrical and Electronic Engineering and 44 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anil Kumar's work include Chaos-based Image/Signal Encryption (20 papers), Advanced Steganography and Watermarking Techniques (20 papers) and Mobile Ad Hoc Networks (15 papers). Anil Kumar is often cited by papers focused on Chaos-based Image/Signal Encryption (20 papers), Advanced Steganography and Watermarking Techniques (20 papers) and Mobile Ad Hoc Networks (15 papers). Anil Kumar collaborates with scholars based in India, United States and Saudi Arabia. Anil Kumar's co-authors include Pushpendra Singh Sisodia, Vivekanand Tiwari, Mohd Anul Haq, Rakesh Kumar Pandey, Alka Chaudhary, M. K. Ghose, Ajay Mandal, Ramesh Bhonde, Meenal Banerjee and Abolfazl Mehbodniya and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Anil Kumar

223 papers receiving 2.5k citations

Author Peers

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

Author Last Decade Papers Cites
Anil Kumar 430 391 313 273 272 252 2.9k
Tarek Gaber 765 1.8× 460 1.2× 348 1.1× 262 1.0× 215 0.8× 118 3.1k
Dan Chen 425 1.0× 790 2.0× 347 1.1× 217 0.8× 436 1.6× 236 4.6k
Ping Chen 456 1.1× 390 1.0× 543 1.7× 255 0.9× 197 0.7× 289 3.1k
Manuel Fernández-Delgado 915 2.1× 139 0.4× 353 1.1× 282 1.0× 222 0.8× 86 3.3k
Haisheng Li 353 0.8× 125 0.3× 334 1.1× 308 1.1× 374 1.4× 261 3.8k
Kevin J. Ashton 267 0.6× 926 2.4× 270 0.9× 330 1.2× 805 3.0× 72 4.4k
Xiaodi Huang 654 1.5× 271 0.7× 462 1.5× 262 1.0× 955 3.5× 196 3.8k
Yirui Wang 1.6k 3.8× 273 0.7× 275 0.9× 515 1.9× 250 0.9× 123 3.5k
Kathiravan Srinivasan 901 2.1× 571 1.5× 422 1.3× 329 1.2× 181 0.7× 171 3.7k
Abhishek Jain 1.2k 2.8× 289 0.7× 386 1.2× 559 2.0× 168 0.6× 56 3.8k

Countries citing papers authored by Anil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Anil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anil Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Anil Kumar. A scholar is included among the top collaborators of Anil 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 Anil Kumar. Anil 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, Anil, et al.. (2025). A comprehensive review of machine learning applications for internet of nano things: challenges and future directions. Artificial Intelligence Review. 58(7). 1 indexed citations
2.
3.
Alsubai, Shtwai, Ashit Kumar Dutta, Ahmed Alkhayyat, et al.. (2023). Hybrid deep learning with improved Salp swarm optimization based multi-class grape disease classification model. Computers & Electrical Engineering. 108. 108733–108733. 41 indexed citations
4.
Kumar, Sunil, et al.. (2023). A Multimoora-based MCDM model under picture fuzzy environment for converting municipal solid waste to energy in Himalayan Region: A sustainable technology assessment. Sustainable Energy Technologies and Assessments. 59. 103399–103399. 10 indexed citations
5.
Kumar, Anil, et al.. (2022). Empyema Necessitans Secondary to Tuberculosis: A Case Report. Malaysian Journal of Medicine and Health Sciences. 18(s13). 11–14. 1 indexed citations
6.
Pandey, Rakesh Kumar, et al.. (2021). Optimized deep learning model assisted pressure transient analysis for automatic reservoir characterization. Petroleum Science and Technology. 40(6). 659–677. 9 indexed citations
7.
Pandey, Rakesh Kumar, Anil Kumar, & Ajay Mandal. (2021). A robust deep structured prediction model for petroleum reservoir characterization using pressure transient test data. Petroleum Research. 7(2). 204–219. 17 indexed citations
8.
Pandey, Rakesh Kumar, Anil Kumar, & Ajay Mandal. (2020). Identifying Applications of Machine Learning and Data Analytics Based Approaches for Optimization of Upstream Petroleum Operations. Energy Technology. 9(1). 30 indexed citations
9.
Kumar, Anil, et al.. (2018). Effect of a diabetes education camp on perception of insulin therapy in patients of type-2 diabetes mellitus. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Kumar, Anil, et al.. (2017). A mathematical modeling of two phase hepatic mean blood flow in arterioles during liver cirrhosis. International journal of applied research. 3(6). 51–57. 1 indexed citations
11.
Chaudhary, Alka, et al.. (2016). A Novel Intrusion Detection System Based on Soft Computing Techniques Using Neuro- Fuzzy Classifier for Packet Dropping Attack in MANETs.. International journal of network security. 18(3). 514–522. 6 indexed citations
12.
Kumar, Anil, et al.. (2016). Social Media Marketing: Opportunities and Challenges. RePEc: Research Papers in Economics. 11(1). 45–49. 6 indexed citations
13.
Kumar, Anil. (2014). Comparison status of strength and speed between Kho-Kho and Kabaddi male players. International Journal of Multidisciplinary Research and Development. 1(7). 63–66.
14.
Chaudhary, Alka, et al.. (2014). NEURO-FUZZY BASED INTRUSION DETECTION SYSTEMS FOR NETWORK SECURITY. Journal of Global Research in Computer Sciences. 5(1). 1–2.
15.
Kumar, Anil, et al.. (2012). Performance Evaluation of Manually Operated Four-Row Rice Transplanter in Jharkhand (India). 14. 59–66. 1 indexed citations
16.
Prakash, Om, et al.. (2011). Anfis Based Prediction Model for Reduction of Failure Frequency in Captive Power Plant. Archives of applied science research. 3(1). 52–64. 4 indexed citations
17.
Kumar, Anil, et al.. (2008). Cost and Returns from Milk Production in Faizabad District of Uttar Pradesh. Indian Journal of Animal Nutrition. 25(4). 369–372.
18.
Kumar, Anil, Navin Rajpal, & Navjot Guru. (2007). Decision Support System for Heart Disease Diagnosis Using Neural Network. Delhi Business Review. 8(1). 99–106. 33 indexed citations
19.
Sukanesh, R., et al.. (2007). Analysis of Image Compression by Minimum Relative Entropy (MRE) and Restoration through Weighted Region Growing Techniques for Medical Images. Engineering letters. 14. 84–89. 7 indexed citations
20.
Kumar, Poonam, Anil Kumar, & Karl L. Smart. (2004). Assessing the Impact of Instructional Methods and Information Technology on Student Learning Styles. Issues in Informing Science and Information Technology. 1. 533–544. 19 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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