P. A. Chochia
- Computer Vision and Pattern Recognition top 10%
- Media Technology top 10%
- Electrical and Electronic Engineering
- Computer Graphics and Computer-Aided Design
- Biophysics
- Co-authors
- В. Н. КарнауховV. V. KerzhanovichA. F. BogomolovM. G. MozerovVitaly KoberЕ. А. ГусевА.А. ПетушковMartin Bergman
- Topics
- Medical Image Segmentation Techniques (13 papers)Advanced Image Fusion Techniques (11 papers)Image and Object Detection Techniques (10 papers)
- Journals
- Earth Moon and PlanetsJournal of Physics Conference SeriesOptical Memory and Neural Networks
- Partner nations
- Russia
In The Last Decade
P. A. Chochia
20 papers receiving 71 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 64
- Media Technology 35
- Electrical and Electronic Engineering 6
- Computer Graphics and Computer-Aided Design 4
- Biophysics 4
Countries citing papers authored by P. A. Chochia
This map shows the geographic impact of P. A. Chochia'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 P. A. Chochia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. A. Chochia more than expected).
Fields of papers citing papers by P. A. Chochia
This network shows the impact of papers produced by P. A. Chochia. 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 P. A. Chochia. The network helps show where P. A. Chochia may publish in the future.
Co-authorship network of co-authors of P. A. Chochia
This figure shows the co-authorship network connecting the top 25 collaborators of P. A. Chochia. A scholar is included among the top collaborators of P. A. Chochia 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 P. A. Chochia. P. A. Chochia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | Two Tasks in Image Enhancement Technology. | 1 |
| 15 | 2 | |
| 16 | Processing of Mars Surface Images Received from Phobos-2 Space Station | 0 |
| 17 | 1 | |
| 18 | Processing of Data from the Survey of Bands of the Surface of Venus Transmitted by the VENERA-15 and VENERA-16 Stations | 0 |
| 19 | Survey of the Venus cloud layer from the Venera 9 Orbiter | 1 |
| 20 | Digital processing of Martian surface photographs from Mars 4 and Mars 5 | 2 |
About P. A. Chochia
P. A. Chochia is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Astronomy and Astrophysics, having authored 33 papers that have together received 78 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (13 papers), Advanced Image Fusion Techniques (11 papers) and Image and Object Detection Techniques (10 papers). The work is most often cited by research in Media Technology (35 citations), Computer Vision and Pattern Recognition (64 citations) and Computational Mathematics (1 citation). P. A. Chochia has collaborated with scholars based in Russia. Frequent co-authors include В. Н. Карнаухов, V. V. Kerzhanovich, A. F. Bogomolov, M. G. Mozerov, Vitaly Kober, Е. А. Гусев, А.А. Петушков and Martin Bergman. Their work appears in journals such as Earth Moon and Planets, Journal of Physics Conference Series and Optical Memory and Neural Networks.
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.