Dmitrii Kaplun
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Aleksandr SinitcaRam SarkarRobert B. ReichДенис БутусовRohit KunduPavel LyakhovShibaprasad SenN.I. Chervyakov
- Topics
- Image and Signal Denoising Methods (20 papers)AI in cancer detection (13 papers)Cryptography and Residue Arithmetic (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Psychiatry
In The Last Decade
Dmitrii Kaplun
120 papers receiving 1000 citations
Peers
Comparison fields: 5 of 144
- Computer Vision and Pattern Recognition 236
- Artificial Intelligence 232
- Radiology, Nuclear Medicine and Imaging 99
- Biomedical Engineering 93
- Control and Systems Engineering 87
Countries citing papers authored by Dmitrii Kaplun
This map shows the geographic impact of Dmitrii Kaplun'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 Kaplun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitrii Kaplun more than expected).
Fields of papers citing papers by Dmitrii Kaplun
This network shows the impact of papers produced by Dmitrii Kaplun. 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 Kaplun. The network helps show where Dmitrii Kaplun may publish in the future.
Co-authorship network of co-authors of Dmitrii Kaplun
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitrii Kaplun. A scholar is included among the top collaborators of Dmitrii Kaplun 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 Kaplun. Dmitrii Kaplun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 48 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 10 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 13 | |
| 16 | 13 | |
| 17 | 118 | |
| 18 | Area-Efficient FPGA Implementation of Minimalistic Convolutional Neural Network Using Residue Number System | 0 |
| 19 | 2 | |
| 20 | I-vector Based Emotion Recognition in Assamese Speech | 5 |
About Dmitrii Kaplun
Dmitrii Kaplun is a scholar working on Computer Vision and Pattern Recognition, Otorhinolaryngology and Signal Processing, having authored 137 papers that have together received 1.0k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (20 papers), AI in cancer detection (13 papers) and Cryptography and Residue Arithmetic (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (236 citations), Virology (41 citations) and Artificial Intelligence (232 citations). Dmitrii Kaplun has collaborated with scholars based in Russia, India and China. Frequent co-authors include Aleksandr Sinitca, Ram Sarkar, Robert B. Reich, Денис Бутусов, Rohit Kundu, Pavel Lyakhov, Shibaprasad Sen, N.I. Chervyakov, Erivelton G. Nepomuceno and Rishav Pramanik. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Psychiatry.
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.