V. Krishna Kumar

1.8k total citations
57 papers, 1.1k citations indexed

About

V. Krishna Kumar is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, V. Krishna Kumar has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Artificial Intelligence. Recurrent topics in V. Krishna Kumar's work include Interconnection Networks and Systems (9 papers), Digital Image Processing Techniques (8 papers) and Meteorological Phenomena and Simulations (8 papers). V. Krishna Kumar is often cited by papers focused on Interconnection Networks and Systems (9 papers), Digital Image Processing Techniques (8 papers) and Meteorological Phenomena and Simulations (8 papers). V. Krishna Kumar collaborates with scholars based in United States, India and Saudi Arabia. V. Krishna Kumar's co-authors include C.S. Raghavendra, Yu‐Chuan Tsai, Eric J. Schwabe, B. Saravana Balaji, Sanjeevi Pandiyan, S. T. Suganthi, Jordan C. Alpert, Hussein Alnuweiri, Salim Hariri and Sid‐Ahmed Boukabara and has published in prestigious journals such as Monthly Weather Review, Bulletin of the American Meteorological Society and IEEE Transactions on Computers.

In The Last Decade

V. Krishna Kumar

55 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Krishna Kumar United States 19 416 210 194 173 154 57 1.1k
Camil Demetrescu Italy 20 499 1.2× 253 1.2× 148 0.8× 50 0.3× 98 0.6× 88 1.2k
F.J. Seinstra Netherlands 14 315 0.8× 149 0.7× 316 1.6× 33 0.2× 59 0.4× 55 875
Ken A. Hawick New Zealand 17 413 1.0× 180 0.9× 162 0.8× 28 0.2× 66 0.4× 159 1.2k
Yunhui Zheng United States 18 300 0.7× 277 1.3× 34 0.2× 110 0.6× 81 0.5× 56 1.0k
Vassil Alexandrov United Kingdom 15 112 0.3× 87 0.4× 48 0.2× 246 1.4× 63 0.4× 77 859
Kijung Shin South Korea 20 335 0.8× 697 3.3× 318 1.6× 40 0.2× 72 0.5× 115 1.4k
Dantong Yu United States 18 502 1.2× 548 2.6× 162 0.8× 22 0.1× 199 1.3× 92 1.3k
Suren Byna United States 27 1.7k 4.1× 251 1.2× 121 0.6× 107 0.6× 117 0.8× 148 2.1k
Hubert Ritzdorf Germany 13 760 1.8× 376 1.8× 114 0.6× 45 0.3× 69 0.4× 28 1.5k
Morris Riedel Germany 14 208 0.5× 276 1.3× 91 0.5× 54 0.3× 36 0.2× 132 924

Countries citing papers authored by V. Krishna Kumar

Since Specialization
Citations

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

Fields of papers citing papers by V. Krishna Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Krishna Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of V. Krishna Kumar. A scholar is included among the top collaborators of V. Krishna 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 V. Krishna Kumar. V. Krishna 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.
Siva, V., A. Murugan, A. Shameem, et al.. (2025). Nanoscale V2O5 anchored biodegradable PVP/PEO based polymer nanocomposites for flexible supercapacitor applications. Journal of Molecular Liquids. 422. 126908–126908. 4 indexed citations
2.
Balaji, B. Saravana, V. Krishna Kumar, Mohamed Abouhawwash, et al.. (2022). Multi-Objective Optimization of Energy Aware Virtual Machine Placement in Cloud Data Center. Intelligent Automation & Soft Computing. 33(3). 1771–1785. 17 indexed citations
3.
Suganthi, S. T., et al.. (2020). Skin disease detection and segmentation using dynamic graph cut algorithm and classification through Naive Bayes classifier. Measurement. 163. 107922–107922. 117 indexed citations
4.
Hoffman, Ross N., V. Krishna Kumar, Sid‐Ahmed Boukabara, et al.. (2018). Progress in Forecast Skill at Three Leading Global Operational NWP Centers during 2015–17 as Seen in Summary Assessment Metrics (SAMs). Weather and Forecasting. 33(6). 1661–1679. 12 indexed citations
5.
Hirzel, Martin, Buğra Gedik, Gabriela Jacques-Silva, et al.. (2013). IBM Streams Processing Language: Analyzing Big Data in motion. IBM Journal of Research and Development. 57(3/4). 7:1–7:11. 84 indexed citations
6.
Kumar, V. Krishna, et al.. (2006). IQ-Paths: Predictably High Performance Data Streams across Dynamic Network Overlays. 18–29. 1 indexed citations
7.
Kumar, V. Krishna, et al.. (2003). Optimal geometric algorithms for digitized pictures on an optical mesh. 147–150. 1 indexed citations
8.
Alnuweiri, Hussein & V. Krishna Kumar. (2002). Optimal image algorithms on an orthogonally-connected memory-based architecture. ii. 350–355.
9.
Monien, Burkhard, V. Krishna Kumar, & Sriram Vajapeyam. (2001). High Performance Computing - HiPC 2001 : 8th International Conference, Hyderabad, India, December 17-20, 2001 : proceedings. Springer eBooks. 1 indexed citations
10.
Hwang, Kai, et al.. (1991). Orthogonal multiprocessor sharing memory with an enhanced mesh for integrated image understanding. CVGIP Image Understanding. 53(1). 31–45. 11 indexed citations
11.
Kumar, V. Krishna, et al.. (1991). VLSI architectures for computing the arithmetic Fourier transform. 1029–1032 vol.2. 2 indexed citations
12.
Kumar, V. Krishna, et al.. (1991). Modular VLSI architectures for real-time vector quantization. 1. 188–191 vol.1. 4 indexed citations
13.
Kumar, V. Krishna, et al.. (1990). Efficient parallel implementation of RETE pattern matching. Computer Systems: Science & Engineering. 5(3). 187–192. 2 indexed citations
14.
Lin, Wei-Ming & V. Krishna Kumar. (1990). Efficient histogramming on hypercube SIMD machines. Computer Vision Graphics and Image Processing. 49(1). 104–120. 15 indexed citations
15.
Misra, Manavendra & V. Krishna Kumar. (1990). <title>Neural network simulation on a reduced-mesh-of-trees organization</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1246. 263–274. 3 indexed citations
16.
Kumar, V. Krishna, et al.. (1989). Wave refraction and longshore current patterns along Calangute beach (Goa), west coast of India. Indian Journal of Marine Sciences. 18(3). 184–188. 2 indexed citations
17.
Raghavendra, C.S., V. Krishna Kumar, & Salim Hariri. (1988). Reliability analysis in distributed systems. IEEE Transactions on Computers. 37(3). 352–358. 45 indexed citations
18.
Kumar, V. Krishna, et al.. (1987). Efficient image template matching on hypercube SIMD arrays.. Proceedings of the International Conference on Parallel Processing. 1987. 765–771. 11 indexed citations
19.
JáJá, Joseph F., V. Krishna Kumar, & Janoš Šimon. (1984). Information Transfer under Different Sets of Protocols. SIAM Journal on Computing. 13(4). 840–849. 25 indexed citations
20.
Kumar, V. Krishna. (1983). Communication complexity of various vlsi models. 8 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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