Tri Harsono

56 papers receiving 260 citations

Peers

Tri Harsono
Comparison fields: 5 of 94
  • Health Information Management 15
  • Human-Computer Interaction 18
  • Radiology, Nuclear Medicine and Imaging 56
  • Artificial Intelligence 90
  • Neurology 18
Replace Shipeng Xie with:
Shipeng Xie China
Han Zhou China
Pengyi Hao China
Zhan Wu China
Márton Szemenyei Hungary
M.R. Varley United Kingdom
Prakhar Bhardwaj India
Huafeng Wang China
Franko Hržić Croatia
Tri Harsono relative to Shipeng Xie China Shipeng Xie's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tri Harsono

Since Specialization
Citations

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

Fields of papers citing papers by Tri Harsono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Tri Harsono, 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 Tri Harsono Line = papers co-authored together Tri Harsono links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202032
2 202014
3 201814
4 201614
5 201911
6 201511
7 201610
8 20179
9 20199
10 20159
11 20168
12 20177
13 20187
14 20167
15 20167
16 20216
17 20216
18 20145
19 20205
20 20165

About Tri Harsono

Tri Harsono is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Biomedical Engineering and Geophysics, having authored 67 papers that have together received 279 indexed citations. Recurring topics across this work include Data Mining and Machine Learning Applications (10 papers), Computer Science and Engineering (9 papers), Seismology and Earthquake Studies (6 papers), Digital Imaging for Blood Diseases (5 papers), Edcuational Technology Systems (4 papers), earthquake and tectonic studies (4 papers), Evacuation and Crowd Dynamics (4 papers) and Transportation Planning and Optimization (4 papers). The work is most often cited by research in Health Information Management (15 citations), Human-Computer Interaction (18 citations), Radiology, Nuclear Medicine and Imaging (56 citations), Artificial Intelligence (90 citations) and Neurology (18 citations). Tri Harsono has collaborated with scholars based in Indonesia, Japan and United States. Frequent co-authors include Riyanto Sigit, Anwar Anwar, Ali Ridho Barakbah, Achmad Basuki, Amang Sudarsono, Kohei Arai, Arna Fariza, Dadet Pramadihanto, Iwan Syarif and Bima Sena Bayu Dewantara. Their work appears in journals such as Journal of Computational Science, Lecture notes in computer science, International Journal on Advanced Science Engineering and Information Technology, TELKOMNIKA (Telecommunication Computing Electronics and Control) and Bulletin of Electrical Engineering and Informatics.

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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