Shipra Dingare

9 total papers · 676 total citations
9 papers, 376 citations indexed

About

Shipra Dingare is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, Shipra Dingare has authored 9 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Molecular Biology and 1 paper in General Health Professions. Recurrent topics in Shipra Dingare's work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Shipra Dingare is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Shipra Dingare collaborates with scholars based in United States and United Kingdom. Shipra Dingare's co-authors include Malvina Nissim, Christopher D. Manning, Jenny Rose Finkel, Claire Grover, Jean Carletta, Nguyễn Văn Huy, Joan Bresnan, Mark Steedman, Beatrice Alex and Tatiana Nikitina and has published in prestigious journals such as BMC Bioinformatics, Language Resources and Evaluation and Comparative and Functional Genomics.

In The Last Decade

Shipra Dingare

9 papers receiving 331 citations

Author Peers

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

Author Last Decade Papers Cites
Shipra Dingare 314 185 65 32 22 9 376
Samuel Bayer 274 0.9× 122 0.7× 80 1.2× 37 1.2× 9 0.4× 21 408
Gideon Kotzé 273 0.9× 28 0.2× 56 0.9× 19 0.6× 14 0.6× 13 349
Miriam Eckert 313 1.0× 242 1.3× 38 0.6× 24 0.8× 4 0.2× 8 389
Jan Strunk 276 0.9× 29 0.2× 59 0.9× 62 1.9× 39 1.8× 13 385
Simon Dobnik 309 1.0× 57 0.3× 20 0.3× 15 0.5× 6 0.3× 32 359
Esther König 226 0.7× 33 0.2× 109 1.7× 38 1.2× 19 0.9× 16 340
Laura Rimell 360 1.1× 59 0.3× 28 0.4× 16 0.5× 5 0.2× 27 391
Balázs Kis 340 1.1× 25 0.1× 47 0.7× 39 1.2× 8 0.4× 12 439
Vasilis Karaiskos 326 1.0× 18 0.1× 33 0.5× 54 1.7× 6 0.3× 8 414
Maria Lapata 293 0.9× 15 0.1× 60 0.9× 46 1.4× 15 0.7× 11 345

Countries citing papers authored by Shipra Dingare

Since Specialization
Citations

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

Fields of papers citing papers by Shipra Dingare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shipra Dingare

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