T. Bose

62.8k total citations
3 papers, 6 citations indexed

About

T. Bose is a scholar working on Surgery, Artificial Intelligence and Obstetrics and Gynecology. According to data from OpenAlex, T. Bose has authored 3 papers receiving a total of 6 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Surgery, 1 paper in Artificial Intelligence and 1 paper in Obstetrics and Gynecology. Recurrent topics in T. Bose's work include Pregnancy and preeclampsia studies (1 paper), Particle physics theoretical and experimental studies (1 paper) and Bariatric Surgery and Outcomes (1 paper). T. Bose is often cited by papers focused on Pregnancy and preeclampsia studies (1 paper), Particle physics theoretical and experimental studies (1 paper) and Bariatric Surgery and Outcomes (1 paper). T. Bose collaborates with scholars based in India, Philippines and United Kingdom. T. Bose's co-authors include Dominique Fohr, Irina Illina, Νικόλαος Αλέτρας, D. Mason, L. A. T. Bauerdick, Saba Sehrish, D. Hufnagel, D. Sperka, K. Bloom and M. Votava and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Human Ecology and Findings of the Association for Computational Linguistics: ACL 2022.

In The Last Decade

T. Bose

2 papers receiving 6 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. Bose India	2	3	3	2	1	1	3	6
В. А. Артеменко Russia	2	2 0.7×		3 1.5×			6	5
G. Kasieczka Switzerland	2	3 1.0×					2	4
Shanya Sharma Australia	2	3 1.0×					2	4
Drew Davies United Kingdom	2	3 1.0×					3	5
Adam Elwood Switzerland	2	3 1.0×					3	4
Eric Hambro United Kingdom	2	3 1.0×					2	5
Alexander R.M. Lyons United Kingdom	2	3 1.0×					3	9
J. Fernández Menéndez Spain	1	4 1.3×					3	4
M. Yin Canada	2	4 1.3×					5	5
Jeremiah Liu United States	2	3 1.0×					2	3

Countries citing papers authored by T. Bose

Since Specialization

Citations

This map shows the geographic impact of T. Bose'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 T. Bose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Bose more than expected).

Fields of papers citing papers by T. Bose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Bose

This figure shows the co-authorship network connecting the top 25 collaborators of T. Bose. A scholar is included among the top collaborators of T. Bose 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 T. Bose. T. Bose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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3 of 3 papers shown

1.

Gutsche, O., T. Bose, M. Votava, et al.. (2024). The U.S. CMS HL-LHC R&D Strategic Plan. SHILAP Revista de lepidopterología. 295. 4050–4050.

2.

Bose, T., Νικόλαος Αλέτρας, Irina Illina, & Dominique Fohr. (2022). Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection. Findings of the Association for Computational Linguistics: ACL 2022. 372–382. 3 indexed citations

3.

Bose, T.. (2005). Incidence of Gestational Diabetes in General Population. Journal of Human Ecology. 17(4). 251–254. 3 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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