Davit L. Aghayan
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Augmented Reality Applications
Papers in
- Hepatology 16
- Hepatocellular Carcinoma Treatment and Prognosis 16
- Oncology 11
- Colorectal Cancer Treatments and Studies 4
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Bjørn Edwin (31 shared papers)Åsmund Avdem Fretland (25 shared papers)Airazat М. Kazaryan (19 shared papers)Egidijus Pelanis (9 shared papers)Ole Jakob Elle (7 shared papers)Rahul Prasanna Kumar (5 shared papers)Rafael Palomar (6 shared papers)Bård I. Røsok (9 shared papers)
In The Last Decade
Davit L. Aghayan
34 papers receiving 561 citations
Peers
Comparison fields: 5 of 70
- Hepatology 238
- Computer Vision and Pattern Recognition 106
- Surgery 185
- Oncology 92
- Human-Computer Interaction 16
Countries citing papers authored by Davit L. Aghayan
This map shows the geographic impact of Davit L. Aghayan'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 Davit L. Aghayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davit L. Aghayan more than expected).
Fields of papers citing papers by Davit L. Aghayan
This network shows the impact of papers produced by Davit L. Aghayan. 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 Davit L. Aghayan. The network helps show where Davit L. Aghayan may publish in the future.
Co-authors
The 25 scholars most cited alongside Davit L. Aghayan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2020 | 53 | |
| 3 | 2019 | 49 | |
| 4 | 2019 | 43 | |
| 5 | 2019 | 38 | |
| 6 | 2019 | 34 | |
| 7 | 2019 | 33 | |
| 8 | 2020 | 33 | |
| 9 | 2020 | 27 | |
| 10 | 2017 | 25 | |
| 11 | 2021 | 17 | |
| 12 | 2020 | 16 | |
| 13 | 2019 | 15 | |
| 14 | 2018 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2021 | 12 | |
| 18 | 2018 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2017 | 9 |
About Davit L. Aghayan
Davit L. Aghayan is a scholar working on Hepatology, Oncology, Surgery, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 37 papers that have together received 568 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (16 papers), Surgical Simulation and Training (7 papers), Augmented Reality Applications (7 papers), Gastric Cancer Management and Outcomes (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Anatomy and Medical Technology (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). The work is most often cited by research in Hepatology (238 citations), Computer Vision and Pattern Recognition (106 citations), Surgery (185 citations), Oncology (92 citations) and Human-Computer Interaction (16 citations). Davit L. Aghayan has collaborated with scholars based in Norway, Armenia and Russia. Frequent co-authors include Bjørn Edwin, Åsmund Avdem Fretland, Airazat М. Kazaryan, Egidijus Pelanis, Ole Jakob Elle, Rahul Prasanna Kumar, Rafael Palomar, Bård I. Røsok, Vegar Johansen Dagenborg and Ronny Kristiansen. Their work appears in journals such as Surgical Endoscopy, HPB, Journal of Clinical Oncology, Scientific Reports and Annals of Surgery.
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.