N Yakimoff
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Ophthalmology top 5%
- Molecular Biology
- Co-authors
- L MitraniS MateeffJ. HohnsbeinWalter H. EhrensteinGeorge DimitrovT RadilZ BohdaneckýPetr Lánský
- Topics
- Visual perception and processing mechanisms (32 papers)Glaucoma and retinal disorders (5 papers)Advanced Vision and Imaging (5 papers)
In The Last Decade
N Yakimoff
42 papers receiving 471 citations
Peers
Comparison fields: 5 of 47
- Cognitive Neuroscience 452
- Experimental and Cognitive Psychology 85
- Computer Vision and Pattern Recognition 68
- Ophthalmology 66
- Molecular Biology 60
Countries citing papers authored by N Yakimoff
This map shows the geographic impact of N Yakimoff'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 N Yakimoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Yakimoff more than expected).
Fields of papers citing papers by N Yakimoff
This network shows the impact of papers produced by N Yakimoff. 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 N Yakimoff. The network helps show where N Yakimoff may publish in the future.
Co-authorship network of co-authors of N Yakimoff
This figure shows the co-authorship network connecting the top 25 collaborators of N Yakimoff. A scholar is included among the top collaborators of N Yakimoff 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 N Yakimoff. N Yakimoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 20 | |
| 3 | 43 | |
| 4 | 19 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 6 | |
| 8 | A linear model for the response time in motion prediction. | 7 |
| 9 | In search of paintings influence on time judgement. | 2 |
| 10 | 8 | |
| 11 | 3 | |
| 12 | Influence of the target delay and duration on the prediction of a moving stimulus future position. | 2 |
| 13 | 4 | |
| 14 | 7 | |
| 15 | Visio-motor prediction of collision. | 1 |
| 16 | Visual extrapolation of two converging nonintersecting line segments. | 3 |
| 17 | Visual extrapolation of a line segment to the point of its intersection with a straight line. I. | 3 |
| 18 | 6 | |
| 19 | 24 | |
| 20 | 24 |
About N Yakimoff
N Yakimoff is a scholar working on Cognitive Neuroscience, Ophthalmology and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 511 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (32 papers), Glaucoma and retinal disorders (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Cognitive Neuroscience (452 citations), Ophthalmology (66 citations) and Human-Computer Interaction (39 citations). N Yakimoff has collaborated with scholars based in Bulgaria, Czechia and Italy. Frequent co-authors include L Mitrani, S Mateeff, J. Hohnsbein, Walter H. Ehrenstein, George Dimitrov, T Radil, Z Bohdanecký, Petr Lánský, T Radil-Weiss and Piet G. Vos. Their work appears in journals such as Journal of Power Sources, Vision Research and Human Factors The Journal of the Human Factors and Ergonomics Society.
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.