Shalini Ghosh

1.9k total citations
54 papers, 1.0k citations indexed

About

Shalini Ghosh is a scholar working on Artificial Intelligence, Physical and Theoretical Chemistry and Molecular Biology. According to data from OpenAlex, Shalini Ghosh has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 14 papers in Physical and Theoretical Chemistry and 11 papers in Molecular Biology. Recurrent topics in Shalini Ghosh's work include Photochemistry and Electron Transfer Studies (14 papers), Protein Interaction Studies and Fluorescence Analysis (11 papers) and Speech Recognition and Synthesis (7 papers). Shalini Ghosh is often cited by papers focused on Photochemistry and Electron Transfer Studies (14 papers), Protein Interaction Studies and Fluorescence Analysis (11 papers) and Speech Recognition and Synthesis (7 papers). Shalini Ghosh collaborates with scholars based in United States, India and South Korea. Shalini Ghosh's co-authors include Nikhil Guchhait, Sankar Jana, Sasanka Dalapati, Larry Heck, Junting Zhang, Dawei Li, Şerafettin Taşcı, Heming Zhang, C.‐C. Jay Kuo and Jie Zhang and has published in prestigious journals such as The Journal of Physical Chemistry B, Biopolymers and IEEE/ACM Transactions on Networking.

In The Last Decade

Shalini Ghosh

53 papers receiving 993 citations

Peers

Shalini Ghosh
Comparison fields: 5 of 112
  • Artificial Intelligence 360
  • Molecular Biology 294
  • Computer Vision and Pattern Recognition 198
  • Materials Chemistry 171
  • Physical and Theoretical Chemistry 150
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Citations per field, relative to Shalini Ghosh
Shalini Ghosh · 1×
Citations per year, relative to Shalini Ghosh
Shalini Ghosh · 1×

Countries citing papers authored by Shalini Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Shalini Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shalini Ghosh

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 4
4 8
5
Efficient Incremental Learning for Mobile Object Detection
4
6 7
7
Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models.
4
8
ATOL: A Framework for Automated Analysis and Categorization of the Darkweb Ecosystem.
9
9 34
10 8
11 1
12 27
13 54
14 7
15 63
16 19
17 25
18 4
19 6
20 35

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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2026