Pavan Kapanipathi

109 total papers · 1.2k total citations
38 papers, 374 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 374 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, Maria Chang, Michael Witbrock, Nicholas Mattei 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 338 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pavan Kapanipathi	321	95	53	46	36	38	374
Xin Zhang	325 1.0×	83 0.9×	21 0.4×	58 1.3×	27 0.8×	45	421
Stijn De Saeger	352 1.1×	69 0.7×	27 0.5×	28 0.6×	27 0.8×	26	398
Fréderic Godin	285 0.9×	107 1.1×	50 0.9×	42 0.9×	19 0.5×	18	435
Masoud Makrehchi	180 0.6×	82 0.9×	45 0.8×	45 1.0×	46 1.3×	55	349
Shanchan Wu	264 0.8×	75 0.8×	26 0.5×	34 0.7×	24 0.7×	19	335
Danish Contractor	241 0.8×	81 0.9×	97 1.8×	27 0.6×	12 0.3×	27	342
Johann Petrak	311 1.0×	92 1.0×	23 0.4×	27 0.6×	28 0.8×	15	395
Joydeep Chandra	202 0.6×	51 0.5×	62 1.2×	22 0.5×	46 1.3×	58	374
Yueheng Sun	281 0.9×	185 1.9×	62 1.2×	42 0.9×	10 0.3×	44	411
Yushun Dong	339 1.1×	91 1.0×	36 0.7×	53 1.2×	21 0.6×	24	435

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

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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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