Krishan Kumar

3.8k total citations
112 papers, 2.1k citations indexed

About

Krishan Kumar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Krishan Kumar has authored 112 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 33 papers in Computer Networks and Communications and 30 papers in Artificial Intelligence. Recurrent topics in Krishan Kumar's work include Video Analysis and Summarization (14 papers), Human Pose and Action Recognition (11 papers) and IoT and Edge/Fog Computing (10 papers). Krishan Kumar is often cited by papers focused on Video Analysis and Summarization (14 papers), Human Pose and Action Recognition (11 papers) and IoT and Edge/Fog Computing (10 papers). Krishan Kumar collaborates with scholars based in India, United States and Japan. Krishan Kumar's co-authors include Deepti D. Shrimankar, Brajesh Kumar, Vibhor Kumar Vishnoi, Navjot Singh, Manish P. Kurhekar, A. Senthilselvi, Mohit Mittal, Alok Negi, B. S. Murugan and Shaveta Dargan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Multimedia.

In The Last Decade

Krishan Kumar

100 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krishan Kumar India 25 914 431 367 309 219 112 2.1k
Sandeep Kumar India 23 444 0.5× 341 0.8× 216 0.6× 224 0.7× 143 0.7× 118 1.5k
Anand Singh Jalal India 29 1.2k 1.3× 500 1.2× 518 1.4× 97 0.3× 227 1.0× 143 2.4k
Ali Javed Pakistan 28 1.2k 1.3× 771 1.8× 429 1.2× 60 0.2× 414 1.9× 122 2.6k
Arfat Ahmad Khan Thailand 21 332 0.4× 279 0.6× 205 0.6× 232 0.8× 102 0.5× 79 1.3k
Donato Impedovo Italy 25 1.3k 1.4× 587 1.4× 112 0.3× 117 0.4× 269 1.2× 128 2.4k
Muhammad Usman Ghani Khan Pakistan 23 592 0.6× 781 1.8× 76 0.2× 102 0.3× 142 0.6× 112 2.0k
Ying Wen China 21 1.0k 1.1× 653 1.5× 71 0.2× 91 0.3× 123 0.6× 82 2.1k
Haoxiang Wang China 16 645 0.7× 405 0.9× 70 0.2× 306 1.0× 169 0.8× 45 1.5k
Shivani Goel India 18 134 0.1× 289 0.7× 357 1.0× 156 0.5× 121 0.6× 64 1.2k
Vassilis G. Kaburlasos Greece 30 413 0.5× 1.1k 2.6× 490 1.3× 72 0.2× 132 0.6× 143 2.6k

Countries citing papers authored by Krishan Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Krishan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishan Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Krishan Kumar. A scholar is included among the top collaborators of Krishan 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 Krishan Kumar. Krishan 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, Krishan, et al.. (2025). A reinforcement learning based backup queue strategy for reliable and fault tolerant scheduling. International Journal of Information Technology. 17(5). 2613–2618.
2.
Kumar, Brajesh, et al.. (2025). Plant leaf disease detection using local binary pattern and deep convolutional neural networks. Environment Conservation Journal. 26(1). 66–78.
3.
Choudhary, Priyanka, et al.. (2024). A Review on Security Challenges: Cryptography and Blockchain for Internet of Things. Lecture notes in networks and systems. 789–795.
4.
5.
Kumar, Krishan, et al.. (2024). Dementia Alzheimer's Disease Diagnosis Using Convolutional Neural Networks on Two-Dimensional MRI Slices. Revue d intelligence artificielle. 38(1). 81–91. 1 indexed citations
6.
Kumar, Krishan, et al.. (2024). Vehicle collision detection and alert system using YOLO. AIP conference proceedings. 3075. 20165–20165.
7.
Kumar, Krishan, et al.. (2023). Video summarization using deep learning techniques: a detailed analysis and investigation. Artificial Intelligence Review. 56(11). 12347–12385. 32 indexed citations
8.
Kumar, Krishan, et al.. (2023). Feature Selection with Deep Reinforcement Learning for Intrusion Detection System. Computer Systems Science and Engineering. 46(3). 3339–3353. 1 indexed citations
9.
Pankaj, et al.. (2023). Paddy yield prediction based on 2D images of rice panicles using regression techniques. The Visual Computer. 40(6). 4457–4471. 5 indexed citations
10.
Kumar, Krishan, et al.. (2023). S-method: secure multimedia encryption technique in cloud environment. Multimedia Tools and Applications. 83(3). 8295–8309. 3 indexed citations
11.
Kumar, Krishan. (2021). Forecasting of Cloud Computing Services Workload using Machine Learning. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12(11). 4841–4846. 2 indexed citations
12.
Vishnoi, Vibhor Kumar, Krishan Kumar, & Brajesh Kumar. (2021). Crop Disease Classification Through Image Processing and Machine Learning Techniques Using Leaf Images. 27–32. 5 indexed citations
13.
Kumar, Krishan, et al.. (2020). A survey on Deep learning techniques for human action recognition. 1–6. 4 indexed citations
14.
Kumar, Sanjeev, et al.. (2019). Neuro-Fuzzy based Call Admission Control for next Generation Mobile Multimedia Networks. International Journal of Engineering and Advanced Technology. 8(6). 2057–2066.
15.
Kumar, Krishan, et al.. (2019). Autoencoder Artificial Neural Network Public Key Cryptography in Unsecure Public channel Communication. International Journal of Innovative Technology and Exploring Engineering. 8(11). 4023–4032. 2 indexed citations
16.
Kumar, Krishan, et al.. (2019). Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images. Journal of Medical Systems. 43(9). 294–294. 164 indexed citations
17.
Vijayakumar, K., et al.. (2019). Implementation of Software Agents and Advanced AoA for Disease Data Analysis. Journal of Medical Systems. 43(8). 274–274. 17 indexed citations
18.
Yadav, Preeti, et al.. (2018). Energy Efficiency Comparative Analysis of Different Routing Protocol In MANET for Healthcare Environment. International Journal on Recent and Innovation Trends in Computing and Communication. 6(6).
19.
Kumar, Krishan & Manish P. Kurhekar. (2016). Economically Efficient Virtualization over Cloud Using Docker Containers. 95–100. 36 indexed citations
20.
Kumar, Krishan, et al.. (2015). On the Onset of Convection in a Dusty Couple-Stress Fluid with Variable Gravity through a Porous Medium in Hydromagnetics. Journal of Applied Fluid Mechanics. 8(1). 3 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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