Ravin Kumar

455 total citations
8 papers, 19 citations indexed

About

Ravin Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ravin Kumar has authored 8 papers receiving a total of 19 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Ravin Kumar's work include Advanced Image and Video Retrieval Techniques (2 papers), COVID-19 diagnosis using AI (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Ravin Kumar is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), COVID-19 diagnosis using AI (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Ravin Kumar collaborates with scholars based in India, Nepal and United States. Ravin Kumar's co-authors include Sandeep Saxena, Tiyas Sarkar, Rajesh Pal and S.B. Rai and has published in prestigious journals such as Multimedia Tools and Applications, SN Computer Science and SSRN Electronic Journal.

In The Last Decade

Ravin Kumar

6 papers receiving 16 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ravin Kumar India 3 11 6 4 2 2 8 19
Leonid Kostrykin Germany 3 12 1.1× 12 2.0× 4 1.0× 3 1.5× 3 19
Z. J. Xiao China 2 17 1.5× 6 1.0× 3 0.8× 1 0.5× 4 26
Jim Winkens Netherlands 2 7 0.6× 5 0.8× 5 1.3× 1 0.5× 3 12
C. Rougier France 3 8 0.7× 9 1.5× 5 1.3× 4 26
Tai Hu China 3 9 0.8× 4 0.7× 2 0.5× 1 0.5× 2 1.0× 7 17
Imane Nedjar Algeria 4 8 0.7× 9 1.5× 8 2.0× 2 1.0× 8 33
Varghese Alex Kollerathu India 3 15 1.4× 6 1.0× 3 0.8× 1 0.5× 3 19
Hrayr Harutyunyan United States 3 5 0.5× 5 0.8× 3 0.8× 2 1.0× 7 16
Petro Liashchynskyi Ukraine 3 10 0.9× 9 1.5× 2 0.5× 1 0.5× 3 1.5× 6 23

Countries citing papers authored by Ravin Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ravin Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravin Kumar

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

All Works

8 of 8 papers shown
1.
2.
3.
Kumar, Ravin, et al.. (2023). An Analysis of Pneumonia Prediction Approach Using Deep Learning. 681–684. 4 indexed citations
4.
Kumar, Ravin. (2020). Cerebral LSTM: A Better Alternative for Single- and Multi-Stacked LSTM Cell-Based RNNs. SN Computer Science. 1(2). 1 indexed citations
5.
Kumar, Ravin, et al.. (2020). An Efficient Content Based Image Retrieval using an Optimized Neural Network for Medical Application. Multimedia Tools and Applications. 79(31-32). 22277–22292. 8 indexed citations
6.
Kumar, Ravin. (2020). Visual Linguistic Model and Its Applications in Image Captioning. SN Computer Science. 1(3). 1 indexed citations
7.
Kumar, Ravin. (2020). Adding Binary Search Connections to Improve DenseNet Performance. SSRN Electronic Journal. 4 indexed citations
8.
Kumar, Ravin, et al.. (2019). Ethical implications of AI in pricing and sales prediction: A theoretical framework. The Pharma Innovation. 8(2S). 6–9.

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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Breakdown of academic impact, for papers by Leonid Kostrykin Breakdown of academic impact, for papers by Z. J. Xiao Breakdown of academic impact, for papers by Jim Winkens Breakdown of academic impact, for papers by C. Rougier Breakdown of academic impact, for papers by Tai Hu Breakdown of academic impact, for papers by Imane Nedjar Breakdown of academic impact, for papers by Varghese Alex Kollerathu Breakdown of academic impact, for papers by Hrayr Harutyunyan Breakdown of academic impact, for papers by Petro Liashchynskyi
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2026