M. A. Lebedev
Impact in
- Media Technology top 1%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Atmospheric Science top 10%
- Remote Sensing and Land Use
Papers in
-
- Image and Signal Denoising Methods 4
- Advanced Image Processing Techniques 1
- Image Retrieval and Classification Techniques 1
-
- Advanced Image Fusion Techniques 2
- Remote-Sensing Image Classification 2
- Image Processing Techniques and Applications 1
- Co-authors
- О. В. Выголов (5 shared papers)Yu. V. Vizilter (4 shared papers)A. Rubis (3 shared papers)V. A. Knyaz (1 shared paper)
- Journals
- Computer Optics (2 papers)Journal of Computer and Systems Sciences International (1 paper)The international archives of the photogrammetry, remote sensing and spatial information sciences (1 paper)
- Partner nations
- Russia
In The Last Decade
M. A. Lebedev
5 papers receiving 419 citations
M. A. Lebedev's Hit Papers
Peers
Comparison fields: 5 of 38
- Media Technology 367
- Atmospheric Science 252
- Ecology 174
- Computer Vision and Pattern Recognition 63
- Artificial Intelligence 55
Countries citing papers authored by M. A. Lebedev
This map shows the geographic impact of M. A. Lebedev'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 M. A. Lebedev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. A. Lebedev more than expected).
Fields of papers citing papers by M. A. Lebedev
This network shows the impact of papers produced by M. A. Lebedev. 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 M. A. Lebedev. The network helps show where M. A. Lebedev may publish in the future.
Co-authors
The 4 scholars most cited alongside M. A. Lebedev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS Hit paper breakdown → | 2018 | 414 |
| 2 | 2018 | 6 | |
| 3 | 2016 | 3 | |
| 4 | 2019 | 3 | |
| 5 | 2019 | 2 |
About M. A. Lebedev
M. A. Lebedev is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 428 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (4 papers), Advanced Image Fusion Techniques (2 papers), Remote-Sensing Image Classification (2 papers), Advanced Image Processing Techniques (1 paper), Image Processing Techniques and Applications (1 paper), Infrared Thermography in Medicine (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Media Technology (367 citations), Atmospheric Science (252 citations), Ecology (174 citations), Computer Vision and Pattern Recognition (63 citations) and Artificial Intelligence (55 citations). M. A. Lebedev has collaborated with scholars based in Russia. Frequent co-authors include О. В. Выголов, Yu. V. Vizilter, A. Rubis and V. A. Knyaz. Their work appears in journals such as Computer Optics, Journal of Computer and Systems Sciences International and The international archives of the photogrammetry, remote sensing and spatial information sciences.
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.