Eran A. Edirisinghe

99 papers receiving 840 citations

Peers

Eran A. Edirisinghe
Comparison fields: 5 of 113
  • Computer Vision and Pattern Recognition 518
  • Media Technology 193
  • Artificial Intelligence 189
  • Radiology, Nuclear Medicine and Imaging 91
  • Information Systems 88
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Countries citing papers authored by Eran A. Edirisinghe

Since Specialization
Citations

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

Fields of papers citing papers by Eran A. Edirisinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eran A. Edirisinghe. 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 Eran A. Edirisinghe. The network helps show where Eran A. Edirisinghe may publish in the future.

Co-authorship network of co-authors of Eran A. Edirisinghe

This figure shows the co-authorship network connecting the top 25 collaborators of Eran A. Edirisinghe. A scholar is included among the top collaborators of Eran A. Edirisinghe 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 Eran A. Edirisinghe. Eran A. Edirisinghe 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
#WorkIndexed citations
1
Modelling ground-level ozone concentration using ensemble learning algorithms
1
2 1
3 5
4 1
5 15
6 2
7
An Automated Real-Time People Tracking System Based on KLT Features Detection
20
8
Non-intrusive physiological measurement for driver cognitive distraction: Eye and mouth movement
1
9
Correlation between eye movements and mouth movements to detect driver cognitive distraction
5
10 27
11 21
12 13
13 16
14
A facial component based hybrid approach to caricature generation using neural networks.
1
15 0
16 12
17
Zerotree Entropy Based Coding of Stereo Video Sequences
1
18 22
19 2
20 10

About Eran A. Edirisinghe

Eran A. Edirisinghe is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 110 papers that have together received 894 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (18 papers), Advanced Vision and Imaging (16 papers) and Advanced Data Compression Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (518 citations), Media Technology (193 citations) and Human-Computer Interaction (57 citations). Eran A. Edirisinghe has collaborated with scholars based in United Kingdom, Sri Lanka and United Arab Emirates. Frequent co-authors include Helmut Bez, Moi Hoon Yap, A. El-Battay, Nijad Al-Najdawi, Jianmin Jiang, Jyoti Singhai, Muhammad Moazam Fraz, M. Saquib Sarfraz, Matt Jones and Dávid Fröhlich. Their work appears in journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Computers and Electronics in Agriculture.

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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