Sudeshna Bhattacharya
- Materials Chemistry
- Inorganic Chemistry top 5%
- Organizational Behavior and Human Resource Management top 5%
- Electronic, Optical and Magnetic Materials top 10%
- Artificial Intelligence top 10%
- Co-authors
- Soumyadeb ChowdhuryPrasanta Kumar DeySian Joel-EdgarSukhen BalaRaju MondalOscar Rodríguez-EspíndolaTapan GangulyGopa Mandal
- Topics
- Metal-Organic Frameworks: Synthesis and Applications (10 papers)Magnetism in coordination complexes (7 papers)Porphyrin and Phthalocyanine Chemistry (5 papers)
- Partner nations
- IndiaUnited KingdomFrance
In The Last Decade
Sudeshna Bhattacharya
36 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Materials Chemistry 293
- Inorganic Chemistry 272
- Organizational Behavior and Human Resource Management 189
- Electronic, Optical and Magnetic Materials 185
- Artificial Intelligence 122
Countries citing papers authored by Sudeshna Bhattacharya
This map shows the geographic impact of Sudeshna Bhattacharya'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 Sudeshna Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudeshna Bhattacharya more than expected).
Fields of papers citing papers by Sudeshna Bhattacharya
This network shows the impact of papers produced by Sudeshna Bhattacharya. 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 Sudeshna Bhattacharya. The network helps show where Sudeshna Bhattacharya may publish in the future.
Co-authorship network of co-authors of Sudeshna Bhattacharya
This figure shows the co-authorship network connecting the top 25 collaborators of Sudeshna Bhattacharya. A scholar is included among the top collaborators of Sudeshna Bhattacharya 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 Sudeshna Bhattacharya. Sudeshna Bhattacharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 59 | |
| 4 | 2 | |
| 5 | Unlocking the value of artificial intelligence in human resource management through AI capability frameworkbreakdown → | 420 |
| 6 | 11 | |
| 7 | 24 | |
| 8 | 7 | |
| 9 | 36 | |
| 10 | 12 | |
| 11 | 31 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 18 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 36 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 5 |
About Sudeshna Bhattacharya
Sudeshna Bhattacharya is a scholar working on Health Informatics, Inorganic Chemistry and Physical and Theoretical Chemistry, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (10 papers), Magnetism in coordination complexes (7 papers) and Porphyrin and Phthalocyanine Chemistry (5 papers). The work is most often cited by research in Health Informatics (52 citations), Inorganic Chemistry (272 citations) and Organizational Behavior and Human Resource Management (189 citations). Sudeshna Bhattacharya has collaborated with scholars based in India, United Kingdom and France. Frequent co-authors include Soumyadeb Chowdhury, Prasanta Kumar Dey, Sian Joel-Edgar, Sukhen Bala, Raju Mondal, Oscar Rodríguez-Espíndola, Tapan Ganguly, Gopa Mandal, Arijit Goswami and Sumi Ganguly. Their work appears in journals such as Journal of Applied Physics, The Journal of Physical Chemistry B and Chemical Physics Letters.
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.