Sunu Wibirama

143 total papers · 1.1k total citations
113 papers, 762 citations indexed

About

Sunu Wibirama is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Sunu Wibirama has authored 113 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Human-Computer Interaction, 40 papers in Computer Vision and Pattern Recognition and 17 papers in Ophthalmology. Recurrent topics in Sunu Wibirama's work include Gaze Tracking and Assistive Technology (37 papers), Glaucoma and retinal disorders (16 papers) and Advanced Computing and Algorithms (11 papers). Sunu Wibirama is often cited by papers focused on Gaze Tracking and Assistive Technology (37 papers), Glaucoma and retinal disorders (16 papers) and Advanced Computing and Algorithms (11 papers). Sunu Wibirama collaborates with scholars based in Indonesia, Japan and Thailand. Sunu Wibirama's co-authors include Hanung Adi Nugroho, Kazuhiko Hamamoto, Noor Akhmad Setiawan, Paulus Insap Santosa, Igi Ardiyanto, Ridi Ferdiana, Titis Wijayanto, Chuchart Pintavirooj, S. Tungjitkusolmun and Sri Rum Giyarsih and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

In The Last Decade

Sunu Wibirama

105 papers receiving 729 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sunu Wibirama 305 144 114 93 87 113 762
Reynold Bailey 385 1.3× 322 2.2× 176 1.5× 63 0.7× 36 0.4× 77 656
Tianyu Wang 98 0.3× 223 1.5× 90 0.8× 42 0.5× 46 0.5× 73 759
J. Amudha 122 0.4× 234 1.6× 82 0.7× 26 0.3× 169 1.9× 91 691
József Katona 290 1.0× 107 0.7× 272 2.4× 25 0.3× 187 2.1× 65 908
R. Rajesh 170 0.6× 250 1.7× 127 1.1× 27 0.3× 126 1.4× 87 817
José Luis Alba‐Castro 143 0.5× 502 3.5× 88 0.8× 33 0.4× 162 1.9× 74 906
Ilona Heldal 509 1.7× 180 1.3× 119 1.0× 40 0.4× 58 0.7× 92 813
Akira Utsumi 320 1.0× 357 2.5× 54 0.5× 62 0.7× 62 0.7× 51 681
Shoya Ishimaru 335 1.1× 173 1.2× 180 1.6× 27 0.3× 81 0.9× 57 634
Mincheol Whang 269 0.9× 83 0.6× 376 3.3× 27 0.3× 34 0.4× 97 882

Countries citing papers authored by Sunu Wibirama

Since Specialization
Citations

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

Fields of papers citing papers by Sunu Wibirama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunu Wibirama

This figure shows the co-authorship network connecting the top 25 collaborators of Sunu Wibirama. A scholar is included among the top collaborators of Sunu Wibirama 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 Sunu Wibirama. Sunu Wibirama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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