Pavan Kapanipathi

1.2k total citations
38 papers, 377 citations indexed

About

Pavan Kapanipathi is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Pavan Kapanipathi has authored 38 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 9 papers in Information Systems and 9 papers in Management Science and Operations Research. Recurrent topics in Pavan Kapanipathi's work include Topic Modeling (22 papers), Natural Language Processing Techniques (14 papers) and Semantic Web and Ontologies (11 papers). Pavan Kapanipathi is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (14 papers) and Semantic Web and Ontologies (11 papers). Pavan Kapanipathi collaborates with scholars based in United States, Ireland and Switzerland. Pavan Kapanipathi's co-authors include Amit Sheth, Kartik Talamadupula, Alexandre Passant, Pablo N. Mendes, Ibrahim Abdelaziz, Achille Fokoue, Nicholas Mattei, Maria Chang, Michael Witbrock and Mo Yu and has published in prestigious journals such as IBM Journal of Research and Development, IEEE Internet Computing and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Pavan Kapanipathi

34 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavan Kapanipathi United States 12 323 95 53 46 37 38 377
Shanchan Wu United States 7 265 0.8× 75 0.8× 26 0.5× 34 0.7× 24 0.6× 19 336
Stijn De Saeger Japan 11 352 1.1× 69 0.7× 27 0.5× 28 0.6× 27 0.7× 26 398
Xinying Song China 9 236 0.7× 170 1.8× 88 1.7× 18 0.4× 39 1.1× 20 325
Danish Contractor India 10 242 0.7× 81 0.9× 97 1.8× 27 0.6× 12 0.3× 27 343
Johann Petrak United Kingdom 8 311 1.0× 92 1.0× 23 0.4× 27 0.6× 28 0.8× 15 395
Philippe Laublet France 8 184 0.6× 130 1.4× 27 0.5× 18 0.4× 19 0.5× 21 227
Hongkui Yu China 4 356 1.1× 104 1.1× 27 0.5× 44 1.0× 13 0.4× 9 430
Mianwei Zhou United States 7 268 0.8× 100 1.1× 53 1.0× 34 0.7× 22 0.6× 10 322
Lynda Tamine France 11 186 0.6× 154 1.6× 19 0.4× 44 1.0× 28 0.8× 44 322
Dingyi Han China 9 297 0.9× 198 2.1× 74 1.4× 29 0.6× 17 0.5× 19 409

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
1.
Abdelaziz, Ibrahim, Asim Munawar, Vernon Austel, et al.. (2024). API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. 12859–12870. 3 indexed citations
2.
Sen, Prithviraj, Michiaki Tatsubori, Achille Fokoue, et al.. (2023). Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. 6764–6776. 3 indexed citations
3.
Kapanipathi, Pavan, et al.. (2023). Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. 8434–8448. 1 indexed citations
4.
Gunasekara, Chulaka, et al.. (2022). X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization. 7100–7110. 5 indexed citations
5.
Sen, Prithviraj, et al.. (2022). Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. 3863–3875. 2 indexed citations
6.
Li, Xiang Lorraine, et al.. (2021). Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization. 1322–1336. 25 indexed citations
7.
Naseem, Tahira, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, et al.. (2021). A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering. 11 indexed citations
8.
Atzeni, Mattia, Pavan Kapanipathi, Pushkar Shukla, et al.. (2021). Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. Proceedings of the AAAI Conference on Artificial Intelligence. 35(10). 9018–9027. 20 indexed citations
9.
Atzeni, Mattia, et al.. (2021). Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations. Repository for Publications and Research Data (ETH Zurich). 719–725. 5 indexed citations
10.
Li, Xiang, et al.. (2020). Reading Comprehension as Natural Language Inference: A Semantic Analysis. Joint Conference on Lexical and Computational Semantics. 12–19.
11.
Wang, Xiaoyan, Achille Fokoue, Nicholas Mattei, et al.. (2019). Answering Science Exam Questions Using Query Reformulation with Background Knowledge. 6 indexed citations
12.
Fadnis, Kshitij, et al.. (2019). Heuristics for Interpretable Knowledge Graph Contextualization.. arXiv (Cornell University). 3 indexed citations
13.
Ramesh, Deepthi, et al.. (2017). Texture Synthesis using Energy Compaction Property of Different Transforms. International Journal of Computer Applications. 167(8). 16–19. 1 indexed citations
14.
Kapanipathi, Pavan. (2016). Personalized and Adaptive Semantic Information Filtering for Social Media. Journal of Bioresource Management.
15.
Orlandi, Fabrizio, Pavan Kapanipathi, Amit Sheth, & Alexandre Passant. (2013). Characterising Concepts of Interest Leveraging Linked Data and the Social Web. Scholar Commons (University of South Carolina). 1 indexed citations
16.
Kapanipathi, Pavan, Fabrizio Orlandi, Amit Sheth, & Alexandre Passant. (2011). Personalized Filtering of the Twitter Stream. Journal of Bioresource Management. 6–13. 15 indexed citations
17.
Passant, Alexandre, et al.. (2011). SMOB: The B est of Both Worlds. Journal of Bioresource Management.
18.
Mendes, Pablo N., Alexandre Passant, Pavan Kapanipathi, & Amit Sheth. (2010). Linked Open Social Signals. 224–231. 34 indexed citations
19.
Mendes, Pablo N., Pavan Kapanipathi, Delroy Cameron, & Amit Sheth. (2010). Dynamic Associative Relationships on the Linked Open Data Web. Journal of Bioresource Management. 1 indexed citations
20.
Jadhav, Ashutosh, Hemant Purohit, Pavan Kapanipathi, et al.. (2010). Twitris 2.0 : Semantically Empowered System for Understanding Perceptions From Social Data. Scholar Commons (University of South Carolina). 19 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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