Dheeraj Kumar

785 total citations
52 papers, 524 citations indexed

About

Dheeraj Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Dheeraj Kumar has authored 52 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Environmental Engineering. Recurrent topics in Dheeraj Kumar's work include Advanced Clustering Algorithms Research (10 papers), Remote-Sensing Image Classification (6 papers) and Privacy-Preserving Technologies in Data (5 papers). Dheeraj Kumar is often cited by papers focused on Advanced Clustering Algorithms Research (10 papers), Remote-Sensing Image Classification (6 papers) and Privacy-Preserving Technologies in Data (5 papers). Dheeraj Kumar collaborates with scholars based in India, Australia and United States. Dheeraj Kumar's co-authors include Marimuthu Palaniswami, Sutharshan Rajasegarar, James C. Bezdek, Christopher Leckie, Timothy C. Havens, Huayu Wu, Shonali Krishnaswamy, Jitendra Rajput, Ahmed Elbeltagi and Pradeep Kumar Singh and has published in prestigious journals such as Scientific Reports, IEEE Communications Surveys & Tutorials and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Dheeraj Kumar

47 papers receiving 508 citations

Peers

Dheeraj Kumar
Monidipa Das India
Simon Jirka Germany
Jin Fan China
Youru Li China
Guo Qingsheng China
Pengfei Chen China
Teerayut Horanont Thailand
Fang Wu China
Changhai Ou China
Monidipa Das India
Dheeraj Kumar
Citations per year, relative to Dheeraj Kumar Dheeraj Kumar (= 1×) peers Monidipa Das

Countries citing papers authored by Dheeraj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Dheeraj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dheeraj Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Dheeraj Kumar. A scholar is included among the top collaborators of Dheeraj 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 Dheeraj Kumar. Dheeraj 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, Dheeraj, Marimuthu Palaniswami, & Vallipuram Muthukkumarasamy. (2025). Detecting Smart Ponzi Schemes on Blockchain Using Machine Learning: A Comprehensive Survey. 5(2). 1–32.
2.
Garg, Rahul, et al.. (2025). Classical and quantum approaches to probabilistic modeling of fire occurrence in anthracite grade coal. Scientific Reports. 15(1). 34003–34003.
3.
Kumar, Dheeraj, et al.. (2025). Enhancing Smart Cities With Federated Learning: A Framework for Secure, Scalable, and Intelligent Urban Sensing Systems. IEEE Internet of Things Magazine. 9(1). 96–103.
4.
5.
Kumar, Dheeraj, et al.. (2024). Computation and communication efficient approach for federated learning based urban sensing applications against inference attacks. Pervasive and Mobile Computing. 98. 101875–101875. 4 indexed citations
6.
Kumar, Dheeraj, et al.. (2024). A REVIEW: BI-DIRECTIONAL DC-DC CONVERTER TOPOLOGIES. International Journal of Technical Research & Science. 9(Spl). 27–35. 1 indexed citations
7.
Kumar, Dheeraj, et al.. (2024). Federated Learning for Urban Sensing Systems: A Comprehensive Survey on Attacks, Defences, Incentive Mechanisms, and Applications. IEEE Communications Surveys & Tutorials. 27(2). 1293–1325. 9 indexed citations
8.
9.
Kumar, Dheeraj, et al.. (2024). A REVIEW: CONTROL STRATEGIES IN BIDIRECTIONAL DC-DC CONVERTER TOPOLOGIES. International Journal of Technical Research & Science. 9(Spl). 27–35. 1 indexed citations
10.
Kumar, Dheeraj, et al.. (2024). NLP-Based Sentiment Analysis using Deep Learning Methods. 1873–1878.
11.
Kumar, Dheeraj, et al.. (2024). Coati optimized FOPID controller for non‐isolated DC–DC converters in EV charging application. IET Power Electronics. 17(16). 2771–2784. 3 indexed citations
12.
Kumar, Dheeraj, et al.. (2023). ML-aVAT: A Novel 2-Stage Machine-Learning Approach for Automatic Clustering Tendency Assessment. Big Data Research. 34. 100413–100413. 1 indexed citations
13.
Kumar, Dheeraj, et al.. (2022). Study the Effect of MRF Model on Fuzzy c Means Classifiers with Different Parameters and Distance Measures. Journal of the Indian Society of Remote Sensing. 50(7). 1177–1189. 3 indexed citations
14.
Kumar, Dheeraj, et al.. (2022). Fuzzy Based Convolutional Noise Clustering Classifier to Handle the Noise and Heterogeneity in Image Classification. Mathematics. 10(21). 4056–4056. 3 indexed citations
15.
Kumar, Satish, Ankit Agarwal, Srinivas Pasupuleti, et al.. (2021). Impact of climate change on stormwater drainage in urban areas. Stochastic Environmental Research and Risk Assessment. 36(1). 77–96. 29 indexed citations
16.
Kumar, Satish, Ankit Agarwal, Srinivas Pasupuleti, et al.. (2021). Constructed wetland management in urban catchments for mitigating floods. Stochastic Environmental Research and Risk Assessment. 35(10). 2105–2124. 15 indexed citations
17.
Rathore, Punit, Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, & Marimuthu Palaniswami. (2020). Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams. IEEE Transactions on Cybernetics. 51(12). 5979–5992. 9 indexed citations
18.
19.
Kumar, Dheeraj, et al.. (2015). A review on dump slope stabilization by revegetation with reference to indigenous plant. Ecological Processes. 4(1). 42 indexed citations
20.
Kumar, Dheeraj, James C. Bezdek, Sutharshan Rajasegarar, Christopher Leckie, & Marimuthu Palaniswami. (2015). A visual-numeric approach to clustering and anomaly detection for trajectory data. The Visual Computer. 33(3). 265–281. 42 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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