Soumik Sarkar

10.3k total citations · 5 hit papers
195 papers, 6.5k citations indexed

About

Soumik Sarkar is a scholar working on Artificial Intelligence, Plant Science and Control and Systems Engineering. According to data from OpenAlex, Soumik Sarkar has authored 195 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 39 papers in Plant Science and 36 papers in Control and Systems Engineering. Recurrent topics in Soumik Sarkar's work include Smart Agriculture and AI (20 papers), Fault Detection and Control Systems (20 papers) and Time Series Analysis and Forecasting (17 papers). Soumik Sarkar is often cited by papers focused on Smart Agriculture and AI (20 papers), Fault Detection and Control Systems (20 papers) and Time Series Analysis and Forecasting (17 papers). Soumik Sarkar collaborates with scholars based in United States, India and China. Soumik Sarkar's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Soumik Sarkar

187 papers receiving 6.3k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LLNet: A deep autoencoder approach to natural low-light image enhancement

2016 1.2k citations Kin Gwn Lore, Soumik Sarkar et al. profile →
Machine Learning for High-Throughput Stress Phenotyping in Plants

2015 711 citations Arti Singh, Baskar Ganapathysubramanian et al. profile →
Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives

2018 410 citations Asheesh K. Singh, Baskar Ganapathysubramanian et al. profile →
An explainable deep machine vision framework for plant stress phenotyping

2018 366 citations Sambuddha Ghosal, Asheesh K. Singh et al. Proceedings of the National Academy of Sciences profile →
Plant disease identification using explainable 3D deep learning on hyperspectral images

2019 265 citations Asheesh K. Singh, Soumik Sarkar et al. Plant Methods profile →

Peers

Countries citing papers authored by Soumik Sarkar

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Plot‐level satellite imagery can substitute for UAVs in assessing maize phenotypes across multistate field trials 2025 ·Plants People Planet ·(unknown), (unknown), J M Davis, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Talukder Z. Jubery, Yufeng Ge, Soumik Sarkar, James C. Schnable, Baskar Ganapathysubramanian, Patrick S. Schnable	3
2	A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations 2024 ·SHILAP Revista de lepidopterología ·(unknown), Xian Yeow Lee, Soumik Sarkar	2
3	Metabolic Response to Small Molecule Therapy in Colorectal Cancer Tracked with Raman Spectroscopy and Metabolomics 2024 ·Angewandte Chemie International Edition ·(unknown), Neeraj Joshi, Xiaona Wen, (unknown), (unknown), (unknown), Saji Uthaman, (unknown), Soumik Sarkar, Bhuminder Singh, Rizia Bardhan	7
4	InsectNet: Real-time identification of insects using an end-to-end machine learning pipeline 2024 ·PNAS Nexus ·(unknown), (unknown), (unknown), Jayanth Koushik, Talukder Z. Jubery, Daren S. Mueller, Matthew E. O’Neal, Nirav Merchant, Aarti Singh, Asheesh K. Singh, Soumik Sarkar, Arti Singh, (unknown)	4
5	Diagnosis of pregnancy disorder in the first‐trimester patient plasma with Raman spectroscopy and protein analysis 2024 ·Bioengineering & Translational Medicine ·Ansuja Pulickal Mathew, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Xiaona Wen, Soumik Sarkar, Mark K. Santillan, Donna A. Santillan, Rizia Bardhan	4
6	Metabolic Response to Small Molecule Therapy in Colorectal Cancer Tracked with Raman Spectroscopy and Metabolomics 2024 ·Angewandte Chemie ·(unknown), Neeraj Joshi, Xiaona Wen, (unknown), Galina Bogatcheva, (unknown), Saji Uthaman, (unknown), Soumik Sarkar, Bhuminder Singh, Rizia Bardhan	1
7	3D reconstruction of plants using probabilistic voxel carving 2023 ·Computers and Electronics in Agriculture ·(unknown), (unknown), Talukder Z. Jubery, (unknown), Aditya Balu, (unknown), Lakshmi Attigala, Patrick S. Schnable, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy	12
8	Few-shot deep learning for AFM force curve characterization of single-molecule interactions 2023 ·Patterns ·(unknown), (unknown), (unknown), Soumik Sarkar, Anwesha Sarkar	14
9	A physics-informed feature weighting method for bearing fault diagnostics 2023 ·Mechanical Systems and Signal Processing ·Hao Lü, Venkat Pavan Nemani, (unknown), (unknown), Chao Hu, Simon Laflamme, Soumik Sarkar, Andrew T. Zimmerman	50
10	Predicting the onset of preeclampsia by longitudinal monitoring of metabolic changes throughout pregnancy with Raman spectroscopy 2023 ·Bioengineering & Translational Medicine ·(unknown), Saji Uthaman, (unknown), Eugene C. Lin, Soumik Sarkar, Mark K. Santillan, Donna A. Santillan, Rizia Bardhan	11
11	First Trimester Prediction of Preterm Birth in Patient Plasma with Machine-Learning-Guided Raman Spectroscopy and Metabolomics 2023 ·ACS Applied Materials & Interfaces ·(unknown), (unknown), Saji Uthaman, (unknown), (unknown), (unknown), Xiaona Wen, Soumik Sarkar, Eugene C. Lin, Mark K. Santillan, Donna A. Santillan, Rizia Bardhan	14
12	Crop yield prediction integrating genotype and weather variables using deep learning 2021 ·PLoS ONE ·Johnathon M. Shook, (unknown), Linjiang Wu, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh	124
13	Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications 2021 ·Plant Phenomics ·(unknown), (unknown), (unknown), Johnathon M. Shook, Sambuddha Ghosal, (unknown), Arti Singh, Sourabh Bhattacharya, Baskar Ganapathysubramanian, Asheesh K. Singh, Soumik Sarkar	35
14	Soybean Root System Architecture Trait Study through Genotypic, Phenotypic, and Shape-Based Clusters 2020 ·Plant Phenomics ·(unknown), Talukder Z. Jubery, Jamie A. O’Rourke, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian, Asheesh K. Singh	40
15	Computer vision and machine learning enabled soybean root phenotyping pipeline 2020 ·Plant Methods ·(unknown), Talukder Z. Jubery, Seyed Vahid Mirnezami, Kyle Parmley, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian, Asheesh K. Singh	80
16	Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models 2019 ·Computer Vision and Pattern Recognition ·(unknown), Ameya Joshi, Soumik Sarkar, Chinmay Hegde	4
17	An explainable deep machine vision framework for plant stress phenotyping breakdown → 2018 ·Proceedings of the National Academy of Sciences ·Sambuddha Ghosal, (unknown), Asheesh K. Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar	366
18	An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS 2016 ·arXiv (Cornell University) ·Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar	20
19	A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework 2016 ·arXiv (Cornell University) ·Aditya Balu, Kin Gwn Lore, (unknown), Adarsh Krishnamurthy, Soumik Sarkar	9
20	Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns 2015 ·Iowa State University Digital Repository (Iowa State University) ·Kin Gwn Lore, Daniel Stoecklein, (unknown), Baskar Ganapathysubramanian, Soumik Sarkar	12

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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