Alexander G. Dimitrov
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Statistical and Nonlinear Physics top 10%
- Electrical and Electronic Engineering
- Co-authors
- J. Philip MillerTomáš GedeonZane AldworthAlbert E. ParkerJohn P. MillerJack D. CowanMarcella A. McClureVernon L. Towle
- Topics
- Neural dynamics and brain function (24 papers)Neural Networks and Applications (12 papers)Neurobiology and Insect Physiology Research (9 papers)
- Partner nations
- United StatesAustriaSingapore
In The Last Decade
Alexander G. Dimitrov
34 papers receiving 345 citations
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 220
- Artificial Intelligence 111
- Cellular and Molecular Neuroscience 98
- Statistical and Nonlinear Physics 50
- Electrical and Electronic Engineering 45
Countries citing papers authored by Alexander G. Dimitrov
This map shows the geographic impact of Alexander G. Dimitrov'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 Alexander G. Dimitrov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander G. Dimitrov more than expected).
Fields of papers citing papers by Alexander G. Dimitrov
This network shows the impact of papers produced by Alexander G. Dimitrov. 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 Alexander G. Dimitrov. The network helps show where Alexander G. Dimitrov may publish in the future.
Co-authorship network of co-authors of Alexander G. Dimitrov
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander G. Dimitrov. A scholar is included among the top collaborators of Alexander G. Dimitrov 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 Alexander G. Dimitrov. Alexander G. Dimitrov 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 | 2 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 19 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 0 | |
| 13 | 41 | |
| 14 | 4 | |
| 15 | 24 | |
| 16 | Annealing and the Rate Distortion Problem | 10 |
| 17 | Information Distortion and Neural Coding | 9 |
| 18 | 49 | |
| 19 | Spatial Decorrelation in Orientation Tuned Cortical Cells | 1 |
| 20 | Visual Cortex Circuitry and Orientation Tuning | 16 |
About Alexander G. Dimitrov
Alexander G. Dimitrov is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 39 papers that have together received 357 indexed citations. Recurring topics across this work include Neural dynamics and brain function (24 papers), Neural Networks and Applications (12 papers) and Neurobiology and Insect Physiology Research (9 papers). The work is most often cited by research in Cognitive Neuroscience (220 citations), Cellular and Molecular Neuroscience (98 citations) and Developmental Biology (10 citations). Alexander G. Dimitrov has collaborated with scholars based in United States, Austria and Singapore. Frequent co-authors include J. Philip Miller, Tomáš Gedeon, Zane Aldworth, Albert E. Parker, John P. Miller, Jack D. Cowan, Marcella A. McClure, Vernon L. Towle, Robert K. Erickson and John Milton. Their work appears in journals such as Journal of Neuroscience, NeuroImage and Journal of Virology.
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.