A. Vassilev
- Cognitive Neuroscience top 5%
- Atomic and Molecular Physics, and Optics
- Molecular Biology
- Experimental and Cognitive Psychology
- Cellular and Molecular Neuroscience
- Co-authors
- Velitchko ManahilovK. TroevIván IvanovTodor DeligeorgievP. HautleA. П. СеребровYu. SobolevVladyslava Kovalska
- Topics
- Visual perception and processing mechanisms (17 papers)Neural dynamics and brain function (8 papers)Color Science and Applications (5 papers)
In The Last Decade
A. Vassilev
28 papers receiving 410 citations
Peers
Comparison fields: 5 of 75
- Cognitive Neuroscience 330
- Atomic and Molecular Physics, and Optics 84
- Molecular Biology 54
- Experimental and Cognitive Psychology 50
- Cellular and Molecular Neuroscience 45
Countries citing papers authored by A. Vassilev
This map shows the geographic impact of A. Vassilev'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 A. Vassilev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Vassilev more than expected).
Fields of papers citing papers by A. Vassilev
This network shows the impact of papers produced by A. Vassilev. 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 A. Vassilev. The network helps show where A. Vassilev may publish in the future.
Co-authorship network of co-authors of A. Vassilev
This figure shows the co-authorship network connecting the top 25 collaborators of A. Vassilev. A scholar is included among the top collaborators of A. Vassilev 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 A. Vassilev. A. Vassilev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Changes in Ricco’s Area With Background Adaptation Level in the S-Cone Pathway | 1 |
| 2 | 17 | |
| 3 | Spatial summation of S-cone-selective isoluminant stimuli | 1 |
| 4 | 5 | |
| 5 | Temporal summation of S-cone on- and off-signals in the central and peripheral human retina | 2 |
| 6 | 4 | |
| 7 | 20 | |
| 8 | Effect of stimulus contrast uncertainty on simple reaction time. | 2 |
| 9 | 1 | |
| 10 | 28 | |
| 11 | Hemisphere asymmetry of the visually evoked potentials elicited by gratings of varying spatial frequency. | 1 |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 14 | |
| 15 | Perception of line orientation in the center and periphery of the visual field. | 1 |
| 16 | 13 | |
| 17 | 69 | |
| 18 | 132 | |
| 19 | 11 | |
| 20 | 28 |
About A. Vassilev
A. Vassilev is a scholar working on Cognitive Neuroscience, Media Technology and Ophthalmology, having authored 28 papers that have together received 429 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (17 papers), Neural dynamics and brain function (8 papers) and Color Science and Applications (5 papers). The work is most often cited by research in Cognitive Neuroscience (330 citations), Media Technology (34 citations) and Experimental and Cognitive Psychology (50 citations). A. Vassilev has collaborated with scholars based in Bulgaria, Russia and Germany. Frequent co-authors include Velitchko Manahilov, K. Troev, Iván Ivanov, Todor Deligeorgiev, P. Hautle, A. П. Серебров, Yu. Sobolev, Vladyslava Kovalska, D. Hofmann and I. A. Krasnoschekova. Their work appears in journals such as Polymer, Experimental Brain Research and Behavioral and Brain 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.