Sundaresh Ram

783 citations
47 papers · 460 · h-index 11

Impact in

Papers in

Sundaresh Ram

45 papers receiving 441 citations

Peers

Sundaresh Ram
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 264
  • Computer Graphics and Computer-Aided Design 33
  • Biophysics 43
  • Media Technology 59
  • Ophthalmology 26
Replace Yinpeng Jin with:
Yinpeng Jin United States
Ben Appleton Australia
C. Fassnacht Germany
Max W. K. Law Hong Kong
Laura Reden United States
Tiange Xiang United States
Yaniv Bar Israel
Karthik Gopinath United States
Xiuchao Sui Singapore
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Citations per field
00.5×5×11.8×
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Citations per year

Countries citing papers authored by Sundaresh Ram

Since Specialization
Citations

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

Fields of papers citing papers by Sundaresh Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sundaresh Ram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sundaresh Ram Line = papers co-authored together Sundaresh Ram links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018112
2 201837
3 201623
4 201922
5 201219
6 201719
7 201616
8 199516
9 202016
10 202313
11 201212
12 202110
13 201410
14 201410
15 201310
16
Sparse Representations and Nonlinear Image Processing for Inverse Imaging Solutions
201710
17 20149
18 20168
19 20237
20 20226

About Sundaresh Ram

Sundaresh Ram is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Media Technology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 47 papers that have together received 460 indexed citations. Recurring topics across this work include Image Processing Techniques and Applications (8 papers), Medical Image Segmentation Techniques (7 papers), Cell Image Analysis Techniques (6 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Advanced Neural Network Applications (5 papers), AI in cancer detection (5 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (264 citations), Computer Graphics and Computer-Aided Design (33 citations), Biophysics (43 citations), Media Technology (59 citations) and Ophthalmology (26 citations). Sundaresh Ram has collaborated with scholars based in United States, India and Belgium. Frequent co-authors include Jeffrey J. Rodrı́guez, Giovanni Bosco, Chakradhar Venkata, Xin Gao, Jonathan P. Vande Geest, Craig J. Galbán, Stefanie Galbán, Charles R. Hatt, MeiLan K. Han and Wassim W. Labaki. Their work appears in journals such as International Journal of COPD, IEEE Transactions on Biomedical Engineering, Clinical Cancer Research, Cardiology Clinics and IEEE Transactions on Medical Imaging.

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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