Sohini Roychowdhury

615 total citations
28 papers, 394 citations indexed

About

Sohini Roychowdhury is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Sohini Roychowdhury has authored 28 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Computer Vision and Pattern Recognition and 9 papers in Ophthalmology. Recurrent topics in Sohini Roychowdhury's work include Retinal Imaging and Analysis (14 papers), Digital Imaging for Blood Diseases (6 papers) and Retinal Diseases and Treatments (6 papers). Sohini Roychowdhury is often cited by papers focused on Retinal Imaging and Analysis (14 papers), Digital Imaging for Blood Diseases (6 papers) and Retinal Diseases and Treatments (6 papers). Sohini Roychowdhury collaborates with scholars based in United States, India and Sweden. Sohini Roychowdhury's co-authors include Keshab K. Parhi, Dara D. Koozekanani, Mats Jonasson, Salma Radwan, Abhishek Kothari, Jeny Rajan, Ze Wang, Ying Li, Guillermo Sapiro and P. V. Sudeep and has published in prestigious journals such as IEEE Access, Investigative Ophthalmology & Visual Science and Computer Methods and Programs in Biomedicine.

In The Last Decade

Sohini Roychowdhury

27 papers receiving 375 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sohini Roychowdhury United States 11 223 169 151 60 47 28 394
Soo Siang Teoh Malaysia 12 109 0.5× 68 0.4× 261 1.7× 95 1.6× 17 0.4× 24 447
Muhammad Shehzad Hanif Saudi Arabia 12 104 0.5× 41 0.2× 341 2.3× 47 0.8× 12 0.3× 30 502
Liucun Zhu China 7 96 0.4× 48 0.3× 77 0.5× 11 0.2× 30 0.6× 49 248
Se Woon Cho South Korea 10 94 0.4× 46 0.3× 174 1.2× 30 0.5× 31 0.7× 16 298
Qingge Ji China 10 92 0.4× 45 0.3× 263 1.7× 3 0.1× 39 0.8× 31 407
Junaid Mir Pakistan 12 35 0.2× 17 0.1× 110 0.7× 3 0.1× 16 0.3× 46 368
David B. L. Bong Malaysia 11 59 0.3× 47 0.3× 183 1.2× 12 0.2× 7 0.1× 40 341
Jayan Eledath United States 11 28 0.1× 27 0.2× 248 1.6× 61 1.0× 37 0.8× 29 375
Yanlin Wu China 6 39 0.2× 17 0.1× 42 0.3× 7 0.1× 45 1.0× 29 282

Countries citing papers authored by Sohini Roychowdhury

Since Specialization
Citations

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

Fields of papers citing papers by Sohini Roychowdhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sohini Roychowdhury

This figure shows the co-authorship network connecting the top 25 collaborators of Sohini Roychowdhury. A scholar is included among the top collaborators of Sohini Roychowdhury 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 Sohini Roychowdhury. Sohini Roychowdhury 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
1.
Roychowdhury, Sohini, et al.. (2023). Hallucination-minimized Data-to-answer Framework for Financial Decision-makers. 4693–4702. 7 indexed citations
2.
Roychowdhury, Sohini, et al.. (2021). OPAM: Online Purchasing-behavior Analysis using Machine learning. 1–8. 3 indexed citations
3.
Roychowdhury, Sohini, et al.. (2021). SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology Classification. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 31. 2806–2809. 3 indexed citations
4.
Roychowdhury, Sohini, et al.. (2021). AV-SLAM: Autonomous Vehicle SLAM with Gravity Direction Initialization. Chalmers Research (Chalmers University of Technology). abs 1705 9479. 8093–8100. 3 indexed citations
5.
Roychowdhury, Sohini. (2021). Deep-ReAP: Deep Representations And Partial label learning for Multi-pathology Classification. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 3557–3560. 3 indexed citations
6.
Jonasson, Mats, et al.. (2020). Collision Avoidance by Utilizing Dynamic Road Friction Information. Chalmers Research (Chalmers University of Technology). 1425–1429. 3 indexed citations
7.
Roychowdhury, Sohini, et al.. (2018). Machine Learning Models for Road Surface and Friction Estimation using Front-Camera Images. Chalmers Research (Chalmers University of Technology). 1–8. 72 indexed citations
8.
Roychowdhury, Sohini, et al.. (2017). Azure-Based Smart Monitoring System for Anemia-Like Pallor. Future Internet. 9(3). 39–39. 4 indexed citations
9.
Kothari, Abhishek, et al.. (2017). A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans. Computer Methods and Programs in Biomedicine. 153. 105–114. 14 indexed citations
10.
Alessio, Adam, et al.. (2016). Application of big data analytics for automated estimation of CT image quality. 23. 3422–3431. 3 indexed citations
11.
Roychowdhury, Sohini, et al.. (2016). Non-deep CNN for multi-modal image classification and feature learning: An Azure-based model. 2803–2812. 6 indexed citations
12.
Pathak, Dev S., et al.. (2016). Topic modeling for management sciences: A network-based approach. 427. 3509–3518. 3 indexed citations
13.
Sengar, Namita, Malay Kishore Dutta, Parthasarathi Mangipudi, Sohini Roychowdhury, & Radim Bürget. (2016). Fast localization of the optic disc in fundus images using region-based segmentation. 529–532. 1 indexed citations
14.
Koozekanani, Dara D., et al.. (2016). Artery/vein classification of retinal blood vessels using feature selection. PubMed. 2016. 1320–1323. 14 indexed citations
15.
Roychowdhury, Sohini, Dara D. Koozekanani, & Keshab K. Parhi. (2016). Automated detection of neovascularization for proliferative diabetic retinopathy screening. PubMed. 2016. 1300–1303. 19 indexed citations
16.
Roychowdhury, Sohini, et al.. (2016). AG-MIC: Azure-Based Generalized Flow for Medical Image Classification. IEEE Access. 4. 5243–5257. 10 indexed citations
17.
Roychowdhury, Sohini, et al.. (2015). A Survey of the Trends in Facial and Expression Recognition Databases and Methods. arXiv (Cornell University). 6(5). 1–19. 15 indexed citations
18.
Roychowdhury, Sohini, et al.. (2015). 3-D localization of Diabetic Macular Edema using OCT thickness maps. PubMed. 2015. 4334–4337. 3 indexed citations
19.
Roychowdhury, Sohini, et al.. (2015). Optic Disc Boundary and Vessel Origin Segmentation of Fundus Images. IEEE Journal of Biomedical and Health Informatics. 20(6). 1562–1574. 90 indexed citations
20.
Roychowdhury, Sohini, Dara D. Koozekanani, Salma Radwan, & Keshab K. Parhi. (2013). Automated Detection and Location Analysis of Diabetic Cysts in Retinal OCT Images: An Iterative Filtering Approach. Investigative Ophthalmology & Visual Science. 54(15). 4901–4901. 1 indexed citations

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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