Tri Harsono

54 papers receiving 239 citations

Peers

Tri Harsono
Comparison fields: 5 of 93
  • Health Information Management 13
  • Artificial Intelligence 85
  • Human-Computer Interaction 14
  • Computer Vision and Pattern Recognition 49
  • Radiology, Nuclear Medicine and Imaging 51
Replace Marcus Bloice with:
Marcus Bloice Austria
Shipeng Xie China
Han Zhou China
Intisar Rizwan I Haque Pakistan
Márton Szemenyei Hungary
Karamjeet Singh India
Huafeng Wang China
Weili Shi China
Meilu Zhu Hong Kong
Tri Harsono relative to Marcus Bloice Austria Marcus Bloice'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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202029
2 201814
3 202013
4 201613
5 201911
6 201511
7 20169
8 20158
9 20178
10 20187
11 20197
12 20177
13 20166
14 20166
15 20216
16 20216
17 20145
18 20165
19 20165
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 64 papers that have together received 256 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), earthquake and tectonic studies (4 papers), Edcuational Technology Systems (4 papers), Artificial Intelligence in Healthcare (4 papers) and Earthquake Detection and Analysis (4 papers). The work is most often cited by research in Health Information Management (13 citations), Artificial Intelligence (85 citations), Human-Computer Interaction (14 citations), Computer Vision and Pattern Recognition (49 citations) and Radiology, Nuclear Medicine and Imaging (51 citations). Tri Harsono has collaborated with scholars based in Indonesia, United States and Japan. Frequent co-authors include Riyanto Sigit, Anwar Anwar, Ali Ridho Barakbah, Achmad Basuki, Amang Sudarsono, Kohei Arai, Arna Fariza, Iwan Syarif, Tessy Badriyah and Asmaul Husna. Their work appears in journals such as Journal of Computational Science, SHILAP Revista de lepidopterología, 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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