Sumeet Dua

2.1k total citations
50 papers, 1.5k citations indexed

About

Sumeet Dua is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Sumeet Dua has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 8 papers in Molecular Biology. Recurrent topics in Sumeet Dua's work include Machine Learning in Bioinformatics (6 papers), Retinal Imaging and Analysis (6 papers) and Image Retrieval and Classification Techniques (6 papers). Sumeet Dua is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), Retinal Imaging and Analysis (6 papers) and Image Retrieval and Classification Techniques (6 papers). Sumeet Dua collaborates with scholars based in United States, Singapore and India. Sumeet Dua's co-authors include Xian Du, U. Rajendra Acharya, S. Vinitha Sree, Pradeep Chowriappa, Chua Kuang Chua, S. S. Iyengar, P. Subbanna Bhat, Hilary W. Thompson, Prerna Dua and Joel E.W. Koh and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Knowledge-Based Systems.

In The Last Decade

Sumeet Dua

47 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sumeet Dua United States 16 582 417 411 387 254 50 1.5k
Andrew Hunter United Kingdom 22 1.3k 2.3× 1.1k 2.8× 1.1k 2.7× 404 1.0× 42 0.2× 142 2.5k
Fatma Taher United Arab Emirates 21 483 0.8× 297 0.7× 45 0.1× 464 1.2× 50 0.2× 110 1.3k
Dazhe Zhao China 22 643 1.1× 463 1.1× 64 0.2× 423 1.1× 31 0.1× 146 1.5k
Anas Bilal China 18 492 0.8× 324 0.8× 180 0.4× 302 0.8× 15 0.1× 66 1.1k
J. Dinesh Peter India 18 316 0.5× 272 0.7× 86 0.2× 319 0.8× 16 0.1× 66 821
Diyar Qader Zeebaree Iraq 14 308 0.5× 360 0.9× 33 0.1× 646 1.7× 15 0.1× 25 1.3k
S. Sowmya Kamath India 17 176 0.3× 217 0.5× 65 0.2× 399 1.0× 26 0.1× 119 934
Bouchaib Cherradi Morocco 29 413 0.7× 354 0.8× 13 0.0× 782 2.0× 56 0.2× 121 1.7k
Francesco Tortorella Italy 20 323 0.6× 386 0.9× 28 0.1× 662 1.7× 16 0.1× 75 1.4k
Nagwan Abdel Samee Saudi Arabia 20 280 0.5× 348 0.8× 20 0.0× 617 1.6× 23 0.1× 101 1.3k

Countries citing papers authored by Sumeet Dua

Since Specialization
Citations

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

Fields of papers citing papers by Sumeet Dua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumeet Dua

This figure shows the co-authorship network connecting the top 25 collaborators of Sumeet Dua. A scholar is included among the top collaborators of Sumeet Dua 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 Sumeet Dua. Sumeet Dua 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.
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Chowriappa, Pradeep, et al.. (2018). Residue Adjacency Matrix Based Feature Engineering for Predicting Cysteine Reactivity in Proteins. Computational and Structural Biotechnology Journal. 17. 90–100. 12 indexed citations
3.
Sharma, Rajnish, et al.. (2018). Computing, Analytics and Networks. Communications in computer and information science. 6 indexed citations
4.
Chowriappa, Pradeep, Sumeet Dua, U. Rajendra Acharya, & M. Muthu Rama Krishnan. (2013). Ensemble selection for feature-based classification of diabetic maculopathy images. Computers in Biology and Medicine. 43(12). 2156–2162. 21 indexed citations
5.
Dua, Mohit, Virender Kadyan, Rajesh Kumar Aggarwal, & Sumeet Dua. (2012). Punjabi speech to text system for connected words. 206–209. 13 indexed citations
6.
Acharya, U. Rajendra, Oliver Faust, S. Vinitha Sree, et al.. (2011). An integrated diabetic index using heart rate variability signal features for diagnosis of diabetes. Computer Methods in Biomechanics & Biomedical Engineering. 16(2). 222–234. 64 indexed citations
7.
Acharya, U. Rajendra, Sumeet Dua, Xian Du, S. Vinitha Sree, & Chua Kuang Chua. (2011). Automated Diagnosis of Glaucoma Using Texture and Higher Order Spectra Features. IEEE Transactions on Information Technology in Biomedicine. 15(3). 449–455. 257 indexed citations
8.
Du, Xian, Sumeet Dua, U. Rajendra Acharya, & Chua Kuang Chua. (2011). Classification of Epilepsy Using High-Order Spectra Features and Principle Component Analysis. Journal of Medical Systems. 36(3). 1731–1743. 41 indexed citations
9.
Dua, Sumeet, U. Rajendra Acharya, Pradeep Chowriappa, & S. Vinitha Sree. (2011). Wavelet-Based Energy Features for Glaucomatous Image Classification. IEEE Transactions on Information Technology in Biomedicine. 16(1). 80–87. 202 indexed citations
10.
Dua, Sumeet, U. Rajendra Acharya, & E. Y. K. Ng. (2011). Computational Analysis of the Human Eye with Applications. WORLD SCIENTIFIC eBooks. 22 indexed citations
11.
Du, Xian & Sumeet Dua. (2010). Segmentation of Fluorescence Microscopy Cell Images Using Unsupervised Mining. PubMed. 4(1). 41–49. 27 indexed citations
12.
Dua, Sumeet, et al.. (2010). Optical flow object detection, motion estimation, and tracking on moving vehicles using wavelet decompositions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7694. 76941J–76941J. 5 indexed citations
13.
Dua, Sumeet, et al.. (2010). Discriminative features and classification methods for accurate classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7704. 77040L–77040L. 1 indexed citations
14.
Dua, Sumeet, et al.. (2010). Low-resolution vehicle tracking using dense and reduced local gradient features maps. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7694. 76941I–76941I. 4 indexed citations
15.
Dua, Sumeet, et al.. (2008). Associative classification of mammograms using weighted rules. Expert Systems with Applications. 36(5). 9250–9259. 45 indexed citations
16.
Chowriappa, Pradeep, et al.. (2008). Protein Structure Classification Based on Conserved Hydrophobic Residues. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 6(4). 639–651. 7 indexed citations
17.
Dua, Sumeet, et al.. (2005). A new approach for fast indexing of hyperspectral image data for knowledge retrieval and mining. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5999. 59990E–59990E.
18.
19.
Iyengar, S. Sitharama & Sumeet Dua. (2004). Advances in Medical Signal Processing. Yearbook of Medical Informatics. 13(1). 401–403. 1 indexed citations
20.
Acharya, U. Rajendra, et al.. (2002). Classification of heart rate data using artificial neural network and fuzzy equivalence relation. Pattern Recognition. 36(1). 61–68. 168 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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