Shipra Dingare

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 Kingdom and United States. 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

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shipra Dingare United Kingdom	9	314	185	65	32	22	9	376
Roser Morante Belgium	15	851 2.7×	254 1.4×	38 0.6×	24 0.8×	3 0.1×	71	918
Miriam Eckert United States	7	313 1.0×	242 1.3×	38 0.6×	24 0.8×	4 0.2×	8	389
Simon Dobnik Sweden	10	309 1.0×	57 0.3×	20 0.3×	15 0.5×	6 0.3×	32	361
Fiammetta Namer France	11	296 0.9×	138 0.7×	163 2.5×	11 0.3×	35 1.6×	63	383
Laura Rimell United Kingdom	13	363 1.2×	59 0.3×	29 0.4×	16 0.5×	6 0.3×	27	394
Ivona Kučerová Canada	8	558 1.8×	30 0.2×	113 1.7×	38 1.2×	37 1.7×	21	628
Esther König Germany	9	226 0.7×	33 0.2×	109 1.7×	38 1.2×	18 0.8×	16	342
Fu-Dong Chiou United States	5	657 2.1×	60 0.3×	41 0.6×	10 0.3×	3 0.1×	5	680
Robert Östling Sweden	11	351 1.1×	28 0.2×	48 0.7×	38 1.2×	11 0.5×	41	410
John T. Maxwell United States	12	680 2.2×	28 0.2×	117 1.8×	34 1.1×	15 0.7×	20	716

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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9 of 9 papers shown

1.

Dingare, Shipra, Malvina Nissim, Jenny Rose Finkel, Christopher D. Manning, & Claire Grover. (2005). A system for identifying named entities in biomedical text: how results from two evaluations reflect on both the system and the evaluations: Conference Papers. Comparative and Functional Genomics. 6(1). 77–85. 11 indexed citations

2.

Dingare, Shipra, Malvina Nissim, Jenny Rose Finkel, Christopher D. Manning, & Claire Grover. (2005). A system for identifying named entities in biomedical text: how results from two evaluations reflect on both the system and the evaluations. Comparative and Functional Genomics. 6(1-2). 77–85. 39 indexed citations

3.

Finkel, Jenny Rose, Shipra Dingare, Christopher D. Manning, et al.. (2005). Exploring the boundaries: gene and protein identification in biomedical text. BMC Bioinformatics. 6(S1). S5–S5. 73 indexed citations

4.

Nissim, Malvina, Shipra Dingare, Jean Carletta, & Mark Steedman. (2004). An Annotation Scheme for Information Status in Dialogue.. Language Resources and Evaluation. 57 indexed citations

5.

Carletta, Jean, Shipra Dingare, Malvina Nissim, & Tatiana Nikitina. (2004). Using the NITE XML Toolkit on the Switchboard Corpus to study syntactic choice: a case study. Language Resources and Evaluation. 1019–1022. 13 indexed citations

6.

Finkel, Jenny Rose, et al.. (2004). Exploiting context for biomedical entity recognition. 88–88. 109 indexed citations

7.

Stamatakis, Konstantinos, et al.. (2003). Domain-specific Web site identification: the CROSSMARC focused Web crawler. 75–78. 11 indexed citations

8.

Bresnan, Joan, Shipra Dingare, & Christopher D. Manning. (2001). Soft Constraints Mirror Hard Constraints: Voice and Person in English and Lummi. 49 indexed citations

9.

Dingare, Shipra. (2001). The Effect of Feature Hierarchies on Frequencies of Passivization in English. 14 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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