Arcot Sowmya

5.4k total citations · 1 hit paper
235 papers, 3.3k citations indexed

About

Arcot Sowmya is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Arcot Sowmya has authored 235 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Computer Vision and Pattern Recognition, 53 papers in Radiology, Nuclear Medicine and Imaging and 52 papers in Artificial Intelligence. Recurrent topics in Arcot Sowmya's work include Embedded Systems Design Techniques (24 papers), Formal Methods in Verification (24 papers) and Radiomics and Machine Learning in Medical Imaging (23 papers). Arcot Sowmya is often cited by papers focused on Embedded Systems Design Techniques (24 papers), Formal Methods in Verification (24 papers) and Radiomics and Machine Learning in Medical Imaging (23 papers). Arcot Sowmya collaborates with scholars based in Australia, India and China. Arcot Sowmya's co-authors include Miao Yang, Changming Sun, Guoqing Wang, Ruth Oliver, S. Ramesh, Tomasz Bednarz, John Trinder, Vijay D’Silva, Gihan Samarasinghe and Perminder S. Sachdev and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Arcot Sowmya

215 papers receiving 3.1k citations

Hit Papers

An Underwater Color Image... 2015 2026 2018 2022 2015 250 500 750 1000
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.

  1. An Underwater Color Image Quality Evaluation Metric
    2015 1.0k citations Arcot Sowmya et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arcot Sowmya Australia 25 1.7k 673 486 481 204 235 3.3k
Marios S. Pattichis United States 28 1.6k 0.9× 396 0.6× 969 2.0× 351 0.7× 464 2.3× 239 3.4k
Vijayan K. Asari United States 28 3.0k 1.7× 686 1.0× 997 2.1× 1.3k 2.8× 450 2.2× 283 5.5k
Roger Boyle United Kingdom 11 1.7k 1.0× 451 0.7× 294 0.6× 1.1k 2.2× 256 1.3× 42 4.4k
Huimin Huang China 16 1.0k 0.6× 228 0.3× 571 1.2× 649 1.3× 282 1.4× 71 2.5k
Trey Greer United States 9 2.2k 1.3× 802 1.2× 466 1.0× 264 0.5× 254 1.2× 10 3.3k
Roberto Lotufo Brazil 21 1.7k 1.0× 415 0.6× 447 0.9× 573 1.2× 220 1.1× 134 3.1k
Alexander A. Alemi United States 10 1.4k 0.8× 215 0.3× 465 1.0× 983 2.0× 197 1.0× 12 3.0k
Andreas Uhl Austria 35 4.4k 2.5× 424 0.6× 324 0.7× 880 1.8× 186 0.9× 491 6.8k
Tao Wan China 27 1.0k 0.6× 414 0.6× 367 0.8× 719 1.5× 334 1.6× 154 2.6k

Countries citing papers authored by Arcot Sowmya

Since Specialization
Citations

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

Fields of papers citing papers by Arcot Sowmya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arcot Sowmya

This figure shows the co-authorship network connecting the top 25 collaborators of Arcot Sowmya. A scholar is included among the top collaborators of Arcot Sowmya 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 Arcot Sowmya. Arcot Sowmya 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.
2.
Sowmya, Arcot, et al.. (2024). Efficient masked feature and group attention network for stereo image super-resolution. Image and Vision Computing. 151. 105252–105252. 3 indexed citations
3.
Singh, Sonit, et al.. (2024). Robust Automated Tumour Segmentation Network Using 3D Direction-Wise Convolution and Transformer. Journal of Imaging Informatics in Medicine. 37(5). 2444–2453. 2 indexed citations
4.
Blair, Alan, et al.. (2023). Vertebral compression fracture detection using imitation learning, patch based convolutional neural networks and majority voting. Informatics in Medicine Unlocked. 38. 101238–101238. 9 indexed citations
5.
Silove, Natalie, et al.. (2023). Eye-tracking correlates of response to joint attention in preschool children with autism spectrum disorder. BMC Psychiatry. 23(1). 211–211. 15 indexed citations
6.
Gharleghi, Ramtin, Arcot Sowmya, & Susann Beier. (2022). Transient wall shear stress estimation in coronary bifurcations using convolutional neural networks. Computer Methods and Programs in Biomedicine. 225. 107013–107013. 18 indexed citations
7.
Shen, Yiqing, Arcot Sowmya, Yulin Luo, et al.. (2022). A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN. IEEE Transactions on Medical Imaging. 42(7). 1969–1981. 31 indexed citations
8.
Sowmya, Arcot, et al.. (2022). Blood-based transcriptomic signature panel identification for cancer diagnosis: benchmarking of feature extraction methods. Briefings in Bioinformatics. 23(5). 7 indexed citations
9.
Sowmya, Arcot, et al.. (2022). Imbalanced classification for protein subcellular localization with multilabel oversampling. Bioinformatics. 39(1). 9 indexed citations
10.
Sowmya, Arcot, et al.. (2021). Half and full solar cell efficiency binning by deep learning on electroluminescence images. Progress in Photovoltaics Research and Applications. 30(3). 276–287. 15 indexed citations
11.
Sowmya, Arcot, et al.. (2020). End-of-Line Binning of Full and Half-Cut Cells using Deep Learning on Electroluminescence Images. UNSWorks (University of New South Wales, Sydney, Australia). 133–138. 5 indexed citations
12.
Zhou, Feng, et al.. (2020). Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables. Journal of Machine Learning Research. 21(241). 1–31. 3 indexed citations
13.
Li, Zhidong, et al.. (2020). Fast multi-resolution segmentation for nonstationary Hawkes process using cumulants. International Journal of Data Science and Analytics. 10(4). 321–330. 3 indexed citations
14.
Goldsmith, Benjamin E., et al.. (2015). Political Competition and the Initiation of International Conflict: A New Perspective on the Institutional Foundations of Democratic Peace. ANU Open Research (Australian National University).
15.
Goldsmith, Benjamin E., et al.. (2013). Forecasting the onset of genocide and politicide. Journal of Peace Research. 50(4). 437–452. 37 indexed citations
16.
Sowmya, Arcot, et al.. (2012). Cell tracking and mitosis detection using splitting flow networks in phase-contrast imaging. PubMed. 3749. 5310–5313. 9 indexed citations
17.
D’Silva, Vijay, S. Ramesh, & Arcot Sowmya. (2004). Synchronous protocol automata: a framework for modelling and verification of SoC communication architectures. Design, Automation, and Test in Europe. 1. 10390. 28 indexed citations
18.
Sowmya, Arcot, et al.. (2001). Distributed computer control systems 2000 (DCCS 2000) : a proceedings volume from the 16th IFAC Workshop, Sydney, Australia, 29 November - 1 December 2000. Pergamon eBooks. 1 indexed citations
19.
Palhang, Maziar & Arcot Sowmya. (1999). Learning Discriminatory and Descriptive Rules by an Inductive Logic Programming System. International Conference on Machine Learning. 19(11). 288–297. 2 indexed citations
20.
Sowmya, Arcot, et al.. (1998). Integrated Techniques for Self-Organisation, Sampling, Habituation, and Motion-Tracking in Visual Robotics Applications.. Machine Vision and Applications. 199–202. 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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