Akila Kumarasiri

455 citations
25 papers · 385 · h-index 11

Impact in

Papers in

Akila Kumarasiri

25 papers receiving 379 citations

Peers

Akila Kumarasiri
Comparison fields: 5 of 39
  • Radiation 167
  • Electronic, Optical and Magnetic Materials 116
  • Otorhinolaryngology 19
  • Condensed Matter Physics 53
  • Radiology, Nuclear Medicine and Imaging 82
Replace Mammo H. Yewondwossen with:
Mammo H. Yewondwossen Canada
Kensuke Hayashi Japan
Timothy Keiper United States
Masatoshi Mitsuya Japan
Olena Lopatiuk‐Tirpak United States
Stefan Lautenschläger Germany
Stéphane Bedwani Canada
Chu-Ping Yu China
Akila Kumarasiri relative to Mammo H. Yewondwossen Canada Mammo H. Yewondwossen's profile →
Citations per field
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Mammo H. Yewondwossen · 1×
Citations per year

Countries citing papers authored by Akila Kumarasiri

Since Specialization
Citations

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

Fields of papers citing papers by Akila Kumarasiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201482
2 201250
3 201849
4 201934
5 201125
6 201324
7 201521
8 201721
9 201319
10 201612
11 201711
12 200910
13 20157
14 20143
15 20213
16 20132
17 20142
18 20142
19 20152
20 20131

About Akila Kumarasiri

Akila Kumarasiri is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Electronic, Optical and Magnetic Materials, Otorhinolaryngology and Biomedical Engineering, having authored 25 papers that have together received 385 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Multiferroics and related materials (6 papers), Magnetic and transport properties of perovskites and related materials (6 papers), Medical Imaging and Analysis (4 papers), Advanced X-ray and CT Imaging (3 papers), Advanced Condensed Matter Physics (2 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Radiation (167 citations), Electronic, Optical and Magnetic Materials (116 citations), Otorhinolaryngology (19 citations), Condensed Matter Physics (53 citations) and Radiology, Nuclear Medicine and Imaging (82 citations). Akila Kumarasiri has collaborated with scholars based in United States, India and Brazil. Frequent co-authors include G. Lawes, Indrin J. Chetty, Farzan Siddiqui, Jinkoo Kim, Hualiang Zhong, Ning Winston Wen, Chang Liu, Deepak R. Pradhan, Benjamin Movsas and Mira Shah. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Journal of Applied Clinical Medical Physics, Physical Review B and Nano Letters.

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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