Jayan Eledath

547 citations
29 papers · 375 · h-index 11

Impact in

Papers in

Jayan Eledath

28 papers receiving 345 citations

Peers

Jayan Eledath
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 248
  • Instrumentation 20
  • Automotive Engineering 61
  • Aerospace Engineering 98
  • Ophthalmology 27
Replace Rafael Arnay with:
Rafael Arnay Spain
Kai Berger Germany
David Zabala‐Blanco Chile
Tae Sung Yoon South Korea
Soo Siang Teoh Malaysia
Phong Nguyen-Ha South Korea
Nam Tuan Le South Korea
Matthew Doude United States
Eric Sommerlade United Kingdom
Ben Benfold United Kingdom
Jayan Eledath relative to Rafael Arnay Spain Rafael Arnay's profile →
Citations per field
00.5×3.3×
Rafael Arnay · 1×
Citations per year

Countries citing papers authored by Jayan Eledath

Since Specialization
Citations

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

Fields of papers citing papers by Jayan Eledath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200988
2 202175
3 201228
4 201021
5 200819
6 200719
7 202219
8 200916
9 201315
10 200215
11 201110
12 20107
13 20097
14 20086
15 20134
16 20094
17 20103
18 20213
19 20113
20
Preceding Vehicle Trajectory Prediction by Multi-Cue Integration
20072

About Jayan Eledath

Jayan Eledath is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 375 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (14 papers), Advanced Vision and Imaging (7 papers), Glaucoma and retinal disorders (6 papers), Autonomous Vehicle Technology and Safety (6 papers), Retinal Imaging and Analysis (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Robotics and Sensor-Based Localization (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (248 citations), Instrumentation (20 citations), Automotive Engineering (61 citations), Aerospace Engineering (98 citations) and Ophthalmology (27 citations). Jayan Eledath has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Peng Chang, Mayank Bansal, Ted Camus, Laurent Guigues, Leonid Pishchulin, Srinivasa G. Narasimhan, Harpreet Sawhney, Sang-Hack Jung, B. Southall and Sharad Mehrotra. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Machine Vision and Applications, Investigative Ophthalmology & Visual Science, Lecture notes in computer science and View.

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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