Soumik Sarkar
- Plant Science top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Ecology top 2%
- Analytical Chemistry top 0.5%
- Control and Systems Engineering top 2%
- Co-authors
- Baskar GanapathysubramanianAsheesh K. SinghArti SinghKin Gwn LoreAdedotun AkintayoKoushik NagasubramanianSambuddha GhosalAsok Ray
- Topics
- Smart Agriculture and AI (20 papers)Fault Detection and Control Systems (20 papers)Time Series Analysis and Forecasting (17 papers)
- Journals
- Proceedings of the National Academy of SciencesAngewandte Chemie International EditionSHILAP Revista de lepidopterología
- Partner nations
- United StatesIndiaChina
In The Last Decade
Soumik Sarkar
187 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Plant Science 2.7k
- Computer Vision and Pattern Recognition 1.4k
- Ecology 1.1k
- Analytical Chemistry 772
- Control and Systems Engineering 654
Countries citing papers authored by Soumik Sarkar
This map shows the geographic impact of Soumik Sarkar'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 Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soumik Sarkar more than expected).
Fields of papers citing papers by Soumik Sarkar
This network shows the impact of papers produced by Soumik Sarkar. 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 Sarkar. The network helps show where Soumik Sarkar may publish in the future.
Co-authorship network of co-authors of Soumik Sarkar
This figure shows the co-authorship network connecting the top 25 collaborators of Soumik Sarkar. A scholar is included among the top collaborators of Soumik Sarkar 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 Sarkar. Soumik Sarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 14 | |
| 9 | 50 | |
| 10 | 11 | |
| 11 | 14 | |
| 12 | 124 | |
| 13 | 35 | |
| 14 | 40 | |
| 15 | 80 | |
| 16 | Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models | 4 |
| 17 | An explainable deep machine vision framework for plant stress phenotypingbreakdown → | 366 |
| 18 | 20 | |
| 19 | A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework | 9 |
| 20 | Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns | 12 |
About Soumik Sarkar
Soumik Sarkar is a scholar working on Signal Processing, Artificial Intelligence and Control and Systems Engineering, having authored 195 papers that have together received 6.5k indexed citations. Recurring topics across this work include Smart Agriculture and AI (20 papers), Fault Detection and Control Systems (20 papers) and Time Series Analysis and Forecasting (17 papers). The work is most often cited by research in Analytical Chemistry (772 citations), Plant Science (2.7k citations) and Computer Vision and Pattern Recognition (1.4k citations). Soumik Sarkar has collaborated with scholars based in United States, India and China. Frequent co-authors include Baskar Ganapathysubramanian, Asheesh K. Singh, Arti Singh, Kin Gwn Lore, Adedotun Akintayo, Koushik Nagasubramanian, Sambuddha Ghosal, Asok Ray, Sarah E. Jones and Aditya Balu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.
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.