Naveen Kumar

1.1k total citations
59 papers, 683 citations indexed

About

Naveen Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Naveen Kumar has authored 59 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Naveen Kumar's work include AI in cancer detection (8 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Complex Network Analysis Techniques (5 papers). Naveen Kumar is often cited by papers focused on AI in cancer detection (8 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Complex Network Analysis Techniques (5 papers). Naveen Kumar collaborates with scholars based in India, United States and South Korea. Naveen Kumar's co-authors include Manoj Agarwal, Ankit Rajpal, Virendra Kumar, Christina M. Mastrangelo, Ayush Singh, Douglas C. Montgomery, Bharti Rana, Lovekesh Vig, Indranath Chatterjee and Shikha Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Naveen Kumar

53 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Naveen Kumar India	16	251	136	127	83	52	59	683
Na Zou United States	17	376 1.5×	100 0.7×	149 1.2×	64 0.8×	53 1.0×	70	1.0k
Zheng Xiao China	14	323 1.3×	182 1.3×	160 1.3×	22 0.3×	23 0.4×	54	786
Rui Tang China	15	328 1.3×	52 0.4×	79 0.6×	30 0.4×	60 1.2×	44	675
Marwa Obayya Saudi Arabia	15	283 1.1×	191 1.4×	172 1.4×	14 0.2×	27 0.5×	78	725
Siew Chin Neoh Malaysia	15	553 2.2×	68 0.5×	478 3.8×	60 0.7×	36 0.7×	33	1.2k
Ramgopal Kashyap India	19	230 0.9×	108 0.8×	128 1.0×	28 0.3×	31 0.6×	52	987
Martin Loomes United Kingdom	13	244 1.0×	54 0.4×	105 0.8×	24 0.3×	25 0.5×	56	582
Belal Al‐Khateeb Iraq	15	396 1.6×	175 1.3×	119 0.9×	19 0.2×	22 0.4×	66	743
Sherin M. Youssef Egypt	12	135 0.5×	96 0.7×	230 1.8×	23 0.3×	18 0.3×	63	610
R. Bharat Rao Germany	14	505 2.0×	74 0.5×	218 1.7×	17 0.2×	94 1.8×	36	882

Countries citing papers authored by Naveen Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Naveen Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naveen Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Naveen Kumar. A scholar is included among the top collaborators of Naveen 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 Naveen Kumar. Naveen Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rajpal, Ankit, et al.. (2025). A novel lightweight deep attention network for automated nuclei segmentation in histopathology images. Neurocomputing. 649. 130797–130797. 1 indexed citations

Gupta, Shikha, et al.. (2024). Multiobjective Binary Differential Approach with Parameter Tuning for Discovering Business Process Models: MoD‐ProM. The Scientific World JOURNAL. 2024(1). 9545184–9545184. 2 indexed citations

Mathur, Ankit, et al.. (2024). Identification and clinicopathological analysis of potential p73-regulated biomarkers in colorectal cancer via integrative bioinformatics. Scientific Reports. 14(1). 9894–9894.

Shetty, Jyothi, et al.. (2024). Automated Land Cover Classification in Urban Environments with Deep Learning-Based Semantic Segmentation. 1–7.

Kumar, Vijay, et al.. (2024). Phenylstyrylpyrimidine derivatives as potential multipotent therapeutics for Alzheimer's disease. RSC Medicinal Chemistry. 15(8). 2922–2936. 4 indexed citations

Gupta, Shikha, et al.. (2024). MantaRay-ProM: An efficient process model discovery algorithm. AI Communications. 37(4). 505–524. 1 indexed citations

Kumar, Naveen, et al.. (2023). HGSmark: An efficient ECG watermarking scheme using hunger games search and Bayesian regularization BPNN. Biomedical Signal Processing and Control. 83. 104633–104633. 13 indexed citations

Kumar, Naveen, et al.. (2023). WSOmark: An adaptive dual-purpose color image watermarking using white shark optimizer and Levenberg–Marquardt BPNN. Expert Systems with Applications. 226. 120137–120137. 24 indexed citations

Rajpal, Ankit, et al.. (2023). I-FLASH: Interpretable Fake News Detector Using LIME and SHAP. Wireless Personal Communications. 131(4). 2841–2874. 11 indexed citations

10.

Rajpal, Ankit, et al.. (2023). An explainable AI-driven biomarker discovery framework for Non-Small Cell Lung Cancer classification. Computers in Biology and Medicine. 153. 106544–106544. 35 indexed citations

11.

Kavita, Kavita, et al.. (2023). I-LDD: an interpretable leaf disease detector. Soft Computing. 28(3). 2517–2533. 5 indexed citations

12.

Rajpal, Ankit, et al.. (2023). Enlightening the path to NSCLC biomarkers: Utilizing the power of XAI-guided deep learning. Computer Methods and Programs in Biomedicine. 243. 107864–107864. 16 indexed citations

13.

Kumar, Naveen. (2022). Model of Decision Tree for Email Classification. International Journal of Science and Research (IJSR). 11(7). 1502–1505. 2 indexed citations

14.

Singh, Ayush, et al.. (2021). Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images. Chaos Solitons & Fractals. 145. 110749–110749. 91 indexed citations

15.

Kumar, Naveen, et al.. (2020). IoT Based Cloud Integrated Smart and Sustainable Classroom. International Journal of Recent Technology and Engineering (IJRTE). 9(1). 780–783.

16.

Kumar, Naveen, Arvind Kalia, & Rakesh Kumar. (2019). Evaluation of WebPages performance W.R.T UI/UX developed using different frameworks. International Journal of Engineering and Advanced Technology. 8(6). 575–579.

17.

Kumar, Naveen, et al.. (2018). Credit card fraud detection using Naïve Bayes model based and KNN classifier. International journal of advance research, ideas and innovations in technology. 4(3). 44–47. 11 indexed citations

18.

Sharma, R. K., et al.. (2017). A FIRST CRYPTOSYSTEM FOR SECURITY OF TWO-DIMENSIONAL DATA. Fractals. 25(1). 1750011–1750011. 3 indexed citations

19.

Kumar, Naveen, et al.. (2017). An Entropy based Method for Overlapping Subspace Clustering. Procedia Computer Science. 122. 276–283. 4 indexed citations

20.

Agarwal, Manoj, Lovekesh Vig, & Naveen Kumar. (2011). Multiple Objective Robot Coalition Formation. SHILAP Revista de lepidopterología. 20(4). 395–413. 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.

Explore authors with similar magnitude of impact