Visvanathan Ramesh

11.2k citations
72 papers · 7.4k indexed · 2 hit papers · h-index 24

Visvanathan Ramesh

68 papers receiving 6.9k citations

Hit Papers

Kernel-based object tracking3.1k200220262010201810002.0k3.0k

Peers

Visvanathan Ramesh
Comparison fields: 5 of 135
  • Computer Vision and Pattern Recognition 6.6k
  • Media Technology 720
  • Human-Computer Interaction 316
  • Aerospace Engineering 1.4k
  • Safety, Risk, Reliability and Quality 317
Replace Aleš Leonardis with:
Aleš Leonardis Slovenia
Bastian Leibe Germany
Andrew Blake United Kingdom
Chris Stauffer United States
Bernard Ghanem Saudi Arabia
Jin Tang China
Nikos Papanikolopoulos United States
Jasper Uijlings Italy
Visvanathan Ramesh relative to Aleš Leonardis Slovenia Aleš Leonardis's profile →
Citations per field
00.5×1.5×1.8×
Aleš Leonardis · 1×
Citations per year

Countries citing papers authored by Visvanathan Ramesh

Since Specialization
Citations

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

Fields of papers citing papers by Visvanathan Ramesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Visvanathan Ramesh, 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 Visvanathan Ramesh Line = papers co-authored together Visvanathan Ramesh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 202350
5 202217
6 202026
7 20192
8 20161
9 20097
10 200523
11 2005313
12 20050
13 200511
14 2004163
15 200384
16 200327
17 20024
18 2002145
19 200010
20 19943

About Visvanathan Ramesh

Visvanathan Ramesh is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Medical Laboratory Technology, Instrumentation and Aerospace Engineering, having authored 72 papers that have together received 7.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (25 papers), Video Surveillance and Tracking Methods (22 papers), Advanced Image and Video Retrieval Techniques (16 papers), Medical Image Segmentation Techniques (10 papers), Robotics and Sensor-Based Localization (7 papers), Infrared Target Detection Methodologies (6 papers), Image and Object Detection Techniques (5 papers) and Color Science and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.6k citations), Media Technology (720 citations), Human-Computer Interaction (316 citations), Aerospace Engineering (1.4k citations) and Safety, Risk, Reliability and Quality (317 citations). Visvanathan Ramesh has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Dorin Comaniciu, Peter Meer, Nikos Paragios, Yanghai Tsin, Mittal, M. Pellkofer, Claus Bahlmann, Thomas Kœhler, Yingying Zhu and Takeo Kanade. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding, Machine Vision and Applications, Scientific Reports and Image and Vision Computing.

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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