Kumar Chellapilla

4.2k citations
60 papers · 2.3k indexed · h-index 23

Kumar Chellapilla

55 papers receiving 2.1k citations

Peers

Kumar Chellapilla
Comparison fields: 5 of 117
  • Artificial Intelligence 1.2k
  • Signal Processing 391
  • Information Systems 634
  • Computer Vision and Pattern Recognition 544
  • Human-Computer Interaction 85
Replace David Cohn with:
David Cohn United States
Serhii Havrylov Ukraine
Feng Hao United Kingdom
Iván Herman Netherlands
宏治 津田 Japan
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M. Mao United States
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Citations per field
00.5×4.5×
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Citations per year

Countries citing papers authored by Kumar Chellapilla

Since Specialization
Citations

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

Fields of papers citing papers by Kumar Chellapilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kumar Chellapilla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kumar Chellapilla Line = papers co-authored together Kumar Chellapilla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
WebCop: locating neighborhoods of malware on the web
201031
2
Proceedings of the 4th international workshop on Adversarial information retrieval on the web
20083
3
AIRWeb 2007 : proceedings of the 3rd International Workshop on Adversarial Information Retrieval on the Web, May 8, 2007, Banff, Alberta, Canada
200711
4
High Performance Convolutional Neural Networks for Document Processing
2006268
5
Improving Cloaking Detection using Search Query Popularity and Monetizability.
200633
6
A New Radical Based Approach to Offline Handwritten East-Asian Character Recognition
200612
7 200642
8
Computers beat Humans at Single Character Recognition in Reading based Human Interaction Proofs (HIPs)
2005110
9
Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)
2004165
10 200419
11 20032
12 20033
13 200310
14 20023
15 200235
16 20000
17
Investigating the influence of depth and degree of genotypic change on fitness in genetic programming
199919
18 199912
19 1999106
20 1998171

About Kumar Chellapilla

Kumar Chellapilla is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (21 papers), Metaheuristic Optimization Algorithms Research (16 papers), Spam and Phishing Detection (11 papers), Artificial Intelligence in Games (8 papers), Handwritten Text Recognition Techniques (8 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Web Data Mining and Analysis (6 papers) and Sports Analytics and Performance (4 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Signal Processing (391 citations) and Information Systems (634 citations). Kumar Chellapilla has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include David B. Fogel, Patrice Simard, Patrice Y. Simard, Gregory Buehrer, Mary Czerwinski, Kevin Larson, Gary B. Fogel, Wolf Kienzle, Reid Andersen and David Maxwell Chickering. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, IEEE Signal Processing Letters, Internet Mathematics, Biosystems and Proceedings of the IEEE.

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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