Pavan Kapanipathi

1.2k citations
38 papers · 377 indexed · h-index 12
Topics
Topic Modeling (22 papers)Natural Language Processing Techniques (14 papers)Semantic Web and Ontologies (11 papers)
Journals
IBM Journal of Research and DevelopmentIEEE Internet ComputingRepository for Publications and Research Data (ETH Zurich)

In The Last Decade

Pavan Kapanipathi

34 papers receiving 341 citations

Peers

Pavan Kapanipathi
Comparison fields: 5 of 44
  • Artificial Intelligence 323
  • Information Systems 95
  • Statistical and Nonlinear Physics 53
  • Computer Vision and Pattern Recognition 46
  • Management Science and Operations Research 37
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Citations per field
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Citations per year

Countries citing papers authored by Pavan Kapanipathi

Since Specialization
Citations

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

Fields of papers citing papers by Pavan Kapanipathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavan Kapanipathi

This figure shows the co-authorship network connecting the top 25 collaborators of Pavan Kapanipathi. A scholar is included among the top collaborators of Pavan Kapanipathi 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 Pavan Kapanipathi. Pavan Kapanipathi 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
#WorkIndexed citations
1 3
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6 25
7 11
8 20
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10
Reading Comprehension as Natural Language Inference: A Semantic Analysis
0
11
Answering Science Exam Questions Using Query Reformulation with Background Knowledge
6
12
Heuristics for Interpretable Knowledge Graph Contextualization.
3
13
Personalized and Adaptive Semantic Information Filtering for Social Media
0
14 4
15
Characterising Concepts of Interest Leveraging Linked Data and the Social Web
1
16
Personalized Filtering of the Twitter Stream
15
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SMOB: The B est of Both Worlds
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18
Dynamic Associative Relationships on the Linked Open Data Web
1
19 34
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Twitris 2.0 : Semantically Empowered System for Understanding Perceptions From Social Data
19

About Pavan Kapanipathi

Pavan Kapanipathi is a scholar working on Artificial Intelligence, Management Science and Operations Research and Geography, Planning and Development, having authored 38 papers that have together received 377 indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (14 papers) and Semantic Web and Ontologies (11 papers). The work is most often cited by research in Artificial Intelligence (323 citations), Statistical and Nonlinear Physics (53 citations) and Information Systems (95 citations). Pavan Kapanipathi has collaborated with scholars based in United States, Ireland and Switzerland. Frequent co-authors include Amit Sheth, Alexandre Passant, Kartik Talamadupula, Pablo N. Mendes, Ibrahim Abdelaziz, Achille Fokoue, Nicholas Mattei, Maria Chang, Michael Witbrock and Mo Yu. Their work appears in journals such as IBM Journal of Research and Development, IEEE Internet Computing and Repository for Publications and Research Data (ETH Zurich).

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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