Lipika Dey

155 total papers · 2.5k total citations
80 papers, 1.5k citations indexed

About

Lipika Dey is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lipika Dey has authored 80 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Artificial Intelligence, 32 papers in Information Systems and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lipika Dey's work include Advanced Text Analysis Techniques (29 papers), Topic Modeling (25 papers) and Semantic Web and Ontologies (19 papers). Lipika Dey is often cited by papers focused on Advanced Text Analysis Techniques (29 papers), Topic Modeling (25 papers) and Semantic Web and Ontologies (19 papers). Lipika Dey collaborates with scholars based in India, United States and Saudi Arabia. Lipika Dey's co-authors include Amir Ahmad, Muhammad Abulaish, Tirthankar Dasgupta, Santanu Chaudhury, Ishan Verma, Gautam Shroff, Anuj Mahajan, Pabitra Mitra, Puneet Agarwal and Ashish Rastogi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Applied Soft Computing.

In The Last Decade

Lipika Dey

73 papers receiving 1.3k citations

Hit Papers

A k-mean clustering algor... 2007 2026 2013 2019 2007 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Lipika Dey 976 411 301 194 134 80 1.5k
Gongqing Wu 1.1k 1.1× 751 1.8× 287 1.0× 209 1.1× 242 1.8× 55 2.2k
Abdelaziz Bouras 718 0.7× 443 1.1× 393 1.3× 165 0.9× 147 1.1× 111 2.1k
A.C.M. Fong 888 0.9× 639 1.6× 213 0.7× 228 1.2× 187 1.4× 164 2.0k
Michael Granitzer 1.2k 1.3× 565 1.4× 434 1.4× 152 0.8× 142 1.1× 167 1.8k
Azuraliza Abu Bakar 955 1.0× 404 1.0× 168 0.6× 131 0.7× 118 0.9× 153 1.7k
Kai Lei 936 1.0× 591 1.4× 259 0.9× 113 0.6× 125 0.9× 139 2.2k
Siu Cheung Hui 1.1k 1.1× 441 1.1× 240 0.8× 95 0.5× 76 0.6× 93 1.6k
Lingfei Wu 1.3k 1.3× 448 1.1× 286 1.0× 202 1.0× 97 0.7× 104 1.8k
Petri Myllymäki 950 1.0× 282 0.7× 207 0.7× 458 2.4× 180 1.3× 92 2.3k
Richi Nayak 806 0.8× 731 1.8× 236 0.8× 234 1.2× 132 1.0× 180 1.7k

Countries citing papers authored by Lipika Dey

Since Specialization
Citations

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

Fields of papers citing papers by Lipika Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lipika Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Lipika Dey. A scholar is included among the top collaborators of Lipika Dey 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 Lipika Dey. Lipika Dey 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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