Leonid Zhukov
- Radiology, Nuclear Medicine and Imaging top 5%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Co-authors
- Alan H. BarrDavid M. WeinsteinDavid F. GleichChris R. JohnsonIlya MakarovPavel BerkhinDavid E. BreenM. É. Raǐkh
- Topics
- Advanced MRI Techniques and Applications (7 papers)Blind Source Separation Techniques (6 papers)Advanced Neuroimaging Techniques and Applications (6 papers)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Leonid Zhukov
47 papers receiving 983 citations
Peers
Comparison fields: 5 of 115
- Radiology, Nuclear Medicine and Imaging 277
- Cognitive Neuroscience 193
- Artificial Intelligence 185
- Computer Vision and Pattern Recognition 161
- Signal Processing 145
Countries citing papers authored by Leonid Zhukov
This map shows the geographic impact of Leonid Zhukov'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 Leonid Zhukov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonid Zhukov more than expected).
Fields of papers citing papers by Leonid Zhukov
This network shows the impact of papers produced by Leonid Zhukov. 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 Leonid Zhukov. The network helps show where Leonid Zhukov may publish in the future.
Co-authorship network of co-authors of Leonid Zhukov
This figure shows the co-authorship network connecting the top 25 collaborators of Leonid Zhukov. A scholar is included among the top collaborators of Leonid Zhukov 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 Leonid Zhukov. Leonid Zhukov 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 | 8 | |
| 3 | 28 | |
| 4 | 1 | |
| 5 | 80 | |
| 6 | 14 | |
| 7 | 7 | |
| 8 | Scalable Computing for Power Law Graphs: Experience with Parallel PageRank | 10 |
| 9 | 30 | |
| 10 | SVD Subspace Projections for Term Suggestion Ranking and Clustering | 5 |
| 11 | Level Set Modeling and Segmentation of DT-MRI Brain Data | 7 |
| 12 | 7 | |
| 13 | 58 | |
| 14 | 12 | |
| 15 | Direct pattern tracking on flexible geometry | 12 |
| 16 | 1 | |
| 17 | 92 | |
| 18 | 99 | |
| 19 | 0 | |
| 20 | 3 |
About Leonid Zhukov
Leonid Zhukov is a scholar working on Computational Mathematics, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (7 papers), Blind Source Separation Techniques (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). The work is most often cited by research in Computational Mathematics (66 citations), Computer Graphics and Computer-Aided Design (67 citations) and Signal Processing (145 citations). Leonid Zhukov has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Alan H. Barr, David M. Weinstein, David F. Gleich, Chris R. Johnson, Ilya Makarov, Pavel Berkhin, David E. Breen, M. É. Raǐkh, Ken Museth and Christopher R. Johnson. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and NeuroImage.
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.