Soumik Mandal
- Artificial Intelligence top 5%
- Organic Chemistry
- Materials Chemistry
- Computer Vision and Pattern Recognition top 10%
- Oncology
- Co-authors
- Mikhail BelkinDaniel HsuSiyuan MaParna GuptaBalaram MukhopadhyayDipak K. PoriaPartho Sarothi RayPradipta Purkayastha
- Topics
- Metal complexes synthesis and properties (8 papers)Telemedicine and Telehealth Implementation (6 papers)Organic Light-Emitting Diodes Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPhysical Chemistry Chemical Physics
- Partner nations
- IndiaUnited StatesNetherlands
In The Last Decade
Soumik Mandal
36 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 414
- Organic Chemistry 135
- Materials Chemistry 124
- Computer Vision and Pattern Recognition 110
- Oncology 105
Countries citing papers authored by Soumik Mandal
This map shows the geographic impact of Soumik Mandal'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 Soumik Mandal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soumik Mandal more than expected).
Fields of papers citing papers by Soumik Mandal
This network shows the impact of papers produced by Soumik Mandal. 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 Soumik Mandal. The network helps show where Soumik Mandal may publish in the future.
Co-authorship network of co-authors of Soumik Mandal
This figure shows the co-authorship network connecting the top 25 collaborators of Soumik Mandal. A scholar is included among the top collaborators of Soumik Mandal 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 Soumik Mandal. Soumik Mandal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 31 | |
| 11 | 0 | |
| 12 | 13 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | 14 | |
| 16 | 8 | |
| 17 | Reconciling modern machine learning and the bias-variance trade-off | 34 |
| 18 | 33 | |
| 19 | 20 | |
| 20 | 1 |
About Soumik Mandal
Soumik Mandal is a scholar working on Health Informatics, Filtration and Separation and Organic Chemistry, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metal complexes synthesis and properties (8 papers), Telemedicine and Telehealth Implementation (6 papers) and Organic Light-Emitting Diodes Research (5 papers). The work is most often cited by research in Health Informatics (45 citations), Artificial Intelligence (414 citations) and Computational Mathematics (5 citations). Soumik Mandal has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Mikhail Belkin, Daniel Hsu, Siyuan Ma, Parna Gupta, Balaram Mukhopadhyay, Dipak K. Poria, Partho Sarothi Ray, Pradipta Purkayastha, Oded Nov and David Mann. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Physical Chemistry Chemical Physics.
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.