Damayanthi Herath

17 papers receiving 273 citations

Damayanthi Herath's Hit Papers

Semantic segmentation using Vision Transformers: A survey 2023 · 128 citations
1280+1+2Years since publication4080120

Peers

Damayanthi Herath
Comparison fields: 5 of 84
  • Health Information Management 49
  • Health Informatics 4
  • Computer Vision and Pattern Recognition 54
  • Artificial Intelligence 66
  • Media Technology 12
Replace Usharani Bhimavarapu with:
Usharani Bhimavarapu India
G. Arulkumaran India
Roberta Avanzato Italy
Darmawaty Mohd Ali Malaysia
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Fathimathul Rajeena P. P. Saudi Arabia
R. Geetha India
Emine Cengil Türkiye
José Maurício Portugal
Intaek Kim South Korea
Damayanthi Herath relative to Usharani Bhimavarapu India Usharani Bhimavarapu's profile →
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Citations per year

Countries citing papers authored by Damayanthi Herath

Since Specialization
Citations

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

Fields of papers citing papers by Damayanthi Herath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Semantic segmentation using Vision Transformers: A survey
Hit paper breakdown →
2023128
2 202052
3 202320
4 201120
5 201714
6 202010
7 20178
8 20218
9 20226
10 20235
11 20225
12 20224
13 20252
14 20222
15 20241
16 20241
17 20191
18 20240

About Damayanthi Herath

Damayanthi Herath is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Electrical and Electronic Engineering and Ecology, having authored 18 papers that have together received 287 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Energy Load and Power Forecasting (3 papers), Smart Grid Energy Management (2 papers), Bacteriophages and microbial interactions (2 papers), Smart Agriculture and AI (2 papers), Plant and Fungal Interactions Research (1 paper), Software System Performance and Reliability (1 paper) and Infrastructure Maintenance and Monitoring (1 paper). The work is most often cited by research in Health Information Management (49 citations), Health Informatics (4 citations), Computer Vision and Pattern Recognition (54 citations), Artificial Intelligence (66 citations) and Media Technology (12 citations). Damayanthi Herath has collaborated with scholars based in Sri Lanka, Australia and Taiwan. Frequent co-authors include I.U. Ekanayake, Rajith Vidanaarachchi, Sachith Seneviratne, Roshan Ragel, Hasindu Gamaarachchi, R.M.C.P. Rajapaksha, Saman Halgamuge, David C. Ackland, Sen‐Lin Tang and Kshitij Tandon. Their work appears in journals such as BMC Bioinformatics, Engineering Applications of Artificial Intelligence, Journal of Civil Structural Health Monitoring, Biosystems and Computational and Structural Biotechnology Journal.

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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