V. Rao Vemuri

2.3k total citations · 1 hit paper
36 papers, 1.6k citations indexed

About

V. Rao Vemuri is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, V. Rao Vemuri has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 7 papers in Signal Processing. Recurrent topics in V. Rao Vemuri's work include Network Security and Intrusion Detection (13 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Malware Detection Techniques (6 papers). V. Rao Vemuri is often cited by papers focused on Network Security and Intrusion Detection (13 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Malware Detection Techniques (6 papers). V. Rao Vemuri collaborates with scholars based in United States, India and Israel. V. Rao Vemuri's co-authors include Yi‐Hua Liao, Walter Cedeño, Walter J. Karplus, Wenjie Hu, Wang Jian, Biswanath Mukherjee, Lakhmi C. Jain, Na Tang, Kenrick Mock and Tom Slezak and has published in prestigious journals such as Water Resources Research, Journal of Lightwave Technology and Journal of the Franklin Institute.

In The Last Decade

V. Rao Vemuri

34 papers receiving 1.4k citations

Hit Papers

Use of K-Nearest Neighbor classifier for intrusion detection 2002 2026 2010 2018 2002 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Use of K-Nearest Neighbor classifier for intrusion detection
    2002 578 citations Yi‐Hua Liao, V. Rao Vemuri Computers & Security profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Rao Vemuri United States 20 851 745 421 181 161 36 1.6k
Nikunj C. Oza United States 21 1.4k 1.7× 296 0.4× 347 0.8× 125 0.7× 124 0.8× 70 2.2k
Nevin L. Zhang Hong Kong 20 1.1k 1.3× 282 0.4× 226 0.5× 142 0.8× 180 1.1× 128 1.9k
V. S. Shankar Sriram United States 19 467 0.5× 572 0.8× 192 0.5× 182 1.0× 324 2.0× 103 1.3k
Sarah Erfani Australia 17 1.3k 1.6× 478 0.6× 302 0.7× 183 1.0× 150 0.9× 77 1.8k
M. N. S. Swamy Canada 23 622 0.7× 245 0.3× 360 0.9× 542 3.0× 201 1.2× 160 2.2k
M. Markou United Kingdom 9 1.2k 1.4× 365 0.5× 301 0.7× 55 0.3× 63 0.4× 16 1.7k
Rodrigo Fernandes de Mello Brazil 20 441 0.5× 284 0.4× 172 0.4× 141 0.8× 156 1.0× 106 1.2k
Laveen N. Kanal United States 20 774 0.9× 391 0.5× 197 0.5× 257 1.4× 47 0.3× 86 1.8k
Khushnood Abbas China 9 471 0.6× 283 0.4× 149 0.4× 150 0.8× 142 0.9× 21 1.4k
Jianghui Cai China 17 690 0.8× 283 0.4× 177 0.4× 140 0.8× 234 1.5× 73 1.4k

Countries citing papers authored by V. Rao Vemuri

Since Specialization
Citations

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

Fields of papers citing papers by V. Rao Vemuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Rao Vemuri

This figure shows the co-authorship network connecting the top 25 collaborators of V. Rao Vemuri. A scholar is included among the top collaborators of V. Rao Vemuri 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. Rao Vemuri. V. Rao Vemuri 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.
Rawat, Sanjay, et al.. (2006). Intrusion Detection Using Text Processing Techniques with a Binary-Weighted Cosine Metric. Explore Bristol Research. 1(1). 43–50. 28 indexed citations
2.
Vemuri, V. Rao, et al.. (2006). An application of principal component analysis to the detection and visualization of computer network attacks. Annals of Telecommunications. 61(1-2). 218–234. 41 indexed citations
3.
Vemuri, V. Rao. (2005). Enhancing Computer Security with Smart Technology. Auerbach Publications eBooks. 12 indexed citations
4.
Liao, Yi‐Hua, et al.. (2004). A General Framework for Adaptive Anomaly Detection with Evolving Connectionist Systems. 437–441. 3 indexed citations
5.
Tang, Na & V. Rao Vemuri. (2004). Web-Based Knowledge Acquisition to Impute Missing Values for Classification. 124–130. 3 indexed citations
6.
Hu, Wenjie, Yi‐Hua Liao, & V. Rao Vemuri. (2003). Robust Support Vector Machines for Anomaly Detection in Computer Security.. 81(18). 168–174. 127 indexed citations
7.
Liao, Yi‐Hua & V. Rao Vemuri. (2002). Using Text Categorization Techniques for Intrusion Detection. USENIX Security Symposium. 51–59. 113 indexed citations
8.
Liao, Yi‐Hua & V. Rao Vemuri. (2002). Use of K-Nearest Neighbor classifier for intrusion detection. Computers & Security. 21(5). 439–448. 578 indexed citations breakdown →
9.
Vemuri, V. Rao. (2002). Main problems and issues in neural networks application. 226–226. 1 indexed citations
10.
Cedeño, Walter & V. Rao Vemuri. (2002). On the use of niching for dynamic landscapes. 361–366. 54 indexed citations
11.
Vemuri, V. Rao, et al.. (2002). A new genetic algorithm for multi-objective optimization in water resource management. 1. 495–495. 8 indexed citations
12.
Barash, Danny, A. E. Orel, & V. Rao Vemuri. (2000). A Genetic Search in Frequency Space for Stabilizing Atoms by High-Intensity Laser Fields. Journal of Computing and Information Technology. 8(2). 103–103. 4 indexed citations
13.
Cedeño, Walter & V. Rao Vemuri. (1999). Analysis of speciation and niching in the multi-niche crowding GA. Theoretical Computer Science. 229(1-2). 177–197. 21 indexed citations
14.
Jain, Lakhmi C. & V. Rao Vemuri. (1998). Industrial Applications of Neural Networks. CRC Press, Inc. eBooks. 55 indexed citations
15.
Padgett, Mary Lou, John L. Johnson, & V. Rao Vemuri. (1997). <title>Real-world applications of artificial neural networks to cardiac monitoring using radar and recent theoretical developments</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3077. 236–246. 1 indexed citations
16.
Vemuri, V. Rao, et al.. (1993). Artificial Neural Networks - Forecasting Time Series. IEEE Computer Society Press eBooks. 65 indexed citations
17.
Vemuri, V. Rao. (1992). Artificial Neural Networks: Concepts and Control Applications. Medical Entomology and Zoology. 33 indexed citations
18.
Vemuri, V. Rao & Walter J. Karplus. (1981). Digital Computer Treatment of Partial Differential Equations. 54 indexed citations
19.
Vemuri, V. Rao, et al.. (1971). On the noninferior index approach to large-scale multi-criteria systems. Journal of the Franklin Institute. 291(4). 241–254. 25 indexed citations
20.
Vemuri, V. Rao & John A. Dracup. (1967). Analysis of nonlinearities in ground water hydrology: A hybrid computer approach. Water Resources Research. 3(4). 1047–1058. 6 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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