Tina Chakrabarty

52 total papers · 1.4k total citations
41 papers, 1.2k citations indexed

About

Tina Chakrabarty is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Tina Chakrabarty has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 12 papers in Electrical and Electronic Engineering and 11 papers in Mechanical Engineering. Recurrent topics in Tina Chakrabarty's work include Membrane-based Ion Separation Techniques (12 papers), Fuel Cells and Related Materials (9 papers) and Membrane Separation Technologies (8 papers). Tina Chakrabarty is often cited by papers focused on Membrane-based Ion Separation Techniques (12 papers), Fuel Cells and Related Materials (9 papers) and Membrane Separation Technologies (8 papers). Tina Chakrabarty collaborates with scholars based in India, Canada and Saudi Arabia. Tina Chakrabarty's co-authors include Vinod K. Shahi, S. Prakash, Ajay K. Singh, Bibhas C. Giri, Kripasindhu Chaudhuri, Klaus‐Viktor Peinemann, A. K. Chakravarti, Devdeep Mukherjee, Bijay P. Tripathi and Pradeep Neelakanda and has published in prestigious journals such as Journal of Materials Chemistry, Journal of Materials Chemistry A and Journal of Catalysis.

In The Last Decade

Tina Chakrabarty

40 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Tina Chakrabarty	450	408	341	186	166	41	1.2k
Monis Luqman	397 0.9×	303 0.7×	215 0.6×	20 0.1×	435 2.6×	34	1.4k
Wei Guan	152 0.3×	226 0.6×	396 1.2×	42 0.2×	169 1.0×	56	1.4k
Tian Li	431 1.0×	264 0.6×	121 0.4×	44 0.2×	51 0.3×	76	1.3k
Mudassir Hasan	178 0.4×	282 0.7×	119 0.3×	16 0.1×	157 0.9×	59	1.2k
Hoang‐Jyh Leu	372 0.8×	244 0.6×	261 0.8×	6 0.0×	115 0.7×	49	1.2k
Yilei Wang	170 0.4×	332 0.8×	80 0.2×	20 0.1×	180 1.1×	52	976
Shumin Yang	229 0.5×	255 0.6×	206 0.6×	11 0.1×	177 1.1×	81	1.3k
Xuesong Zhao	510 1.1×	78 0.2×	188 0.6×	24 0.1×	41 0.2×	43	1.0k
N. Raghavendra	302 0.7×	78 0.2×	49 0.1×	29 0.2×	108 0.7×	64	921
Lin Gong	167 0.4×	307 0.8×	170 0.5×	10 0.1×	92 0.6×	79	1.1k

Countries citing papers authored by Tina Chakrabarty

Since Specialization

Citations

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

Fields of papers citing papers by Tina Chakrabarty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Chakrabarty

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