Dmitrii Lachinov
- Ophthalmology top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Co-authors
- Hrvoje BogunovićUrsula Schmidt‐ErfurthJulia MaiGregor S. ReiterWolf‐Dieter VoglSophie RiedlChristoph GrechenigAlex McKeown
- Topics
- Retinal Imaging and Analysis (11 papers)Retinal Diseases and Treatments (8 papers)Glaucoma and retinal disorders (6 papers)
- Partner nations
- AustriaSwitzerlandRussia
In The Last Decade
Dmitrii Lachinov
17 papers receiving 244 citations
Peers
Comparison fields: 5 of 39
- Ophthalmology 204
- Radiology, Nuclear Medicine and Imaging 186
- Molecular Biology 38
- Biomedical Engineering 21
- Pulmonary and Respiratory Medicine 14
Countries citing papers authored by Dmitrii Lachinov
This map shows the geographic impact of Dmitrii Lachinov'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 Dmitrii Lachinov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitrii Lachinov more than expected).
Fields of papers citing papers by Dmitrii Lachinov
This network shows the impact of papers produced by Dmitrii Lachinov. 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 Dmitrii Lachinov. The network helps show where Dmitrii Lachinov may publish in the future.
Co-authorship network of co-authors of Dmitrii Lachinov
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitrii Lachinov. A scholar is included among the top collaborators of Dmitrii Lachinov 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 Dmitrii Lachinov. Dmitrii Lachinov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 22 | |
| 9 | 12 | |
| 10 | 28 | |
| 11 | 50 | |
| 12 | 71 | |
| 13 | 19 | |
| 14 | Predictive Identification of the Fastest Progressing Geographic Atrophy Lesions based on Deep Learning in the Phase 2 FILLY clinical trial of Pegcetacoplan | 2 |
| 15 | Segmentation of Thoracic Organs Using Pixel Shuffle. | 3 |
| 16 | 1 | |
| 17 | 2 |
About Dmitrii Lachinov
Dmitrii Lachinov is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Graphics and Computer-Aided Design, having authored 17 papers that have together received 244 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (11 papers), Retinal Diseases and Treatments (8 papers) and Glaucoma and retinal disorders (6 papers). The work is most often cited by research in Ophthalmology (204 citations), Radiology, Nuclear Medicine and Imaging (186 citations) and Health Informatics (1 citation). Dmitrii Lachinov has collaborated with scholars based in Austria, Switzerland and Russia. Frequent co-authors include Hrvoje Bogunović, Ursula Schmidt‐Erfurth, Julia Mai, Gregor S. Reiter, Wolf‐Dieter Vogl, Sophie Riedl, Christoph Grechenig, Alex McKeown, Guilherme Aresta and Arunava Chakravarty. Their work appears in journals such as Scientific Reports, IEEE Transactions on Medical Imaging and American Journal of Ophthalmology.
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.