Gowri Srinivasa

598 total citations
54 papers, 384 citations indexed

About

Gowri Srinivasa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gowri Srinivasa has authored 54 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gowri Srinivasa's work include Video Analysis and Summarization (9 papers), Cell Image Analysis Techniques (8 papers) and Image Processing Techniques and Applications (7 papers). Gowri Srinivasa is often cited by papers focused on Video Analysis and Summarization (9 papers), Cell Image Analysis Techniques (8 papers) and Image Processing Techniques and Applications (7 papers). Gowri Srinivasa collaborates with scholars based in India, United States and U.S. Virgin Islands. Gowri Srinivasa's co-authors include Jelena Kovačević, Amina Chebira, C. S. Jackson, Robert F. Murphy, Matthew Fickus, Adam D. Linstedt, Yusong Guo, Deepthi Rajashekar, Anand Vinekar and Prashanth Athri and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Image Processing.

In The Last Decade

Gowri Srinivasa

46 papers receiving 364 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gowri Srinivasa 134 111 81 73 64 54 384
Siqi Chen 135 1.0× 34 0.3× 80 1.0× 49 0.7× 23 0.4× 31 359
Ankit Patel 99 0.7× 38 0.3× 155 1.9× 16 0.2× 6 0.1× 41 384
David R. So 69 0.5× 13 0.1× 164 2.0× 31 0.4× 6 0.1× 10 370
Bálint Antal 253 1.9× 115 1.0× 148 1.8× 102 1.4× 43 0.7× 21 731
Mingquan Ye 82 0.6× 8 0.1× 180 2.2× 154 2.1× 7 0.1× 39 527
Adil Alpkoçak 201 1.5× 14 0.1× 252 3.1× 40 0.5× 14 0.2× 40 393
Zafer Aydın 64 0.5× 21 0.2× 162 2.0× 209 2.9× 6 0.1× 52 516
Sangeet Srivastava 92 0.7× 13 0.1× 272 3.4× 6 0.1× 26 0.4× 19 484
David Li 112 0.8× 6 0.1× 24 0.3× 41 0.6× 10 0.2× 23 307
Soham Chattopadhyay 113 0.8× 8 0.1× 245 3.0× 45 0.6× 15 0.2× 13 367

Countries citing papers authored by Gowri Srinivasa

Since Specialization
Citations

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

Fields of papers citing papers by Gowri Srinivasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gowri Srinivasa

This figure shows the co-authorship network connecting the top 25 collaborators of Gowri Srinivasa. A scholar is included among the top collaborators of Gowri Srinivasa 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 Gowri Srinivasa. Gowri Srinivasa 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.
Vinekar, Anand, et al.. (2024). Deep Learning for Classifying Stages of Retinopathy of Prematurity. 1–6. 1 indexed citations
2.
Srinivasa, Gowri, et al.. (2024). Graph neural network and machine learning analysis of functional neuroimaging for understanding schizophrenia. BMC Neuroscience. 25(1). 2–2. 13 indexed citations
3.
4.
Srinivasa, Gowri, et al.. (2023). Mental Health in Tech: Analysis of Workplace Risk Factors and Impact of COVID-19. SN Computer Science. 4(2). 197–197. 5 indexed citations
5.
Athri, Prashanth, et al.. (2023). Analysis of RNA-Seq data using self-supervised learning for vital status prediction of colorectal cancer patients. BMC Bioinformatics. 24(1). 241–241. 4 indexed citations
6.
Nedungadi, Prema, et al.. (2022). Predicting clinical trial outcomes using drug bioactivities through graph database integration and machine learning. Chemical Biology & Drug Design. 100(2). 169–184. 7 indexed citations
7.
Srinivasa, Gowri, et al.. (2022). Data analysis of Global Perceived Stress Scores During Covid-19. 45. 95–102. 1 indexed citations
8.
Srinivasa, Gowri, et al.. (2022). Memory augmented recurrent neural networks for de-novo drug design. PLoS ONE. 17(6). e0269461–e0269461. 8 indexed citations
9.
Okou, David T., et al.. (2020). Predicting adverse drug reactions of two‐drug combinations using structural and transcriptomic drug representations to train an artificial neural network. Chemical Biology & Drug Design. 97(3). 665–673. 16 indexed citations
10.
11.
Srinivasa, Gowri, et al.. (2019). Automated Grading of Diabetic Retinopathy in Retinal Fundus Images using Deep Learning. 73–77. 10 indexed citations
12.
Srinivasa, Gowri, et al.. (2018). A team recommendation system and outcome prediction for the game of cricket. SHILAP Revista de lepidopterología. 4(4). 263–273. 32 indexed citations
13.
Devi, M. Nirmala, et al.. (2017). Detection of anomalous behavior in an examination hall towards automated proctoring. 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT). 1–6. 10 indexed citations
14.
Rajashekar, Deepthi, Gowri Srinivasa, & Anand Vinekar. (2016). Comprehensive Retinal Image Analysis for Aggressive Posterior Retinopathy of Prematurity. PLoS ONE. 11(10). e0163923–e0163923. 16 indexed citations
15.
Srinivasa, Gowri, et al.. (2015). NELIS - Named Entity and Language Identification System: Shared Task System Description.. 43–46. 7 indexed citations
16.
Srinivasa, Gowri, et al.. (2012). Guaranteeing convergence of iterative skewed voting algorithms for image segmentation. Applied and Computational Harmonic Analysis. 33(2). 300–308. 2 indexed citations
17.
Srinivasa, Gowri, et al.. (2010). Convergence behavior of the Active Mask segmentation algorithm. PubMed. 6701. 453–456. 1 indexed citations
18.
Srinivasa, Gowri, Matthew Fickus, Yusong Guo, Adam D. Linstedt, & Jelena Kovačević. (2009). Active Mask Segmentation of Fluorescence Microscope Images. IEEE Transactions on Image Processing. 18(8). 1817–1829. 48 indexed citations
19.
Srinivasa, Gowri, Matthew Fickus, & Jelena Kovačević. (2009). Multiresolution multiscale active mask segmentation of fluorescence microscope images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7446(744603). 744603–744603. 1 indexed citations
20.
Chebira, Amina, et al.. (2007). A multiresolution approach to automated classification of protein subcellular location images. BMC Bioinformatics. 8(1). 210–210. 95 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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