Alexander Kozlov

1.3k total citations
55 papers, 879 citations indexed

About

Alexander Kozlov is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Alexander Kozlov has authored 55 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 19 papers in Electrical and Electronic Engineering and 16 papers in Cognitive Neuroscience. Recurrent topics in Alexander Kozlov's work include Pulsed Power Technology Applications (17 papers), Neural dynamics and brain function (13 papers) and Zebrafish Biomedical Research Applications (13 papers). Alexander Kozlov is often cited by papers focused on Pulsed Power Technology Applications (17 papers), Neural dynamics and brain function (13 papers) and Zebrafish Biomedical Research Applications (13 papers). Alexander Kozlov collaborates with scholars based in Russia, Sweden and United States. Alexander Kozlov's co-authors include Sten Grillner, Jeanette Hellgren Kotaleski, Kazuya Saitoh, Brita Robertson, Peter Wallén, Anders Lansner, S. V. Korotkov, Mikael Huss, V. D. Shalfeev and I. V. Grekhov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Alexander Kozlov

50 papers receiving 853 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexander Kozlov Russia 15 324 280 195 130 129 55 879
Josh Merel United States 14 647 2.0× 487 1.7× 46 0.2× 212 1.6× 157 1.2× 28 1.4k
Serge Rossignol Canada 13 346 1.1× 305 1.1× 199 1.0× 18 0.1× 331 2.6× 17 1.3k
Germán Sumbre France 19 592 1.8× 590 2.1× 376 1.9× 126 1.0× 291 2.3× 29 1.7k
Natsue Yoshimura Japan 21 695 2.1× 425 1.5× 77 0.4× 33 0.3× 316 2.4× 98 1.3k
B. Peterson United States 13 243 0.8× 125 0.4× 40 0.2× 284 2.2× 57 0.4× 29 1.3k
Joseph Ayers United States 21 292 0.9× 394 1.4× 186 1.0× 28 0.2× 235 1.8× 48 1.2k
Angelo Arleo France 21 1.0k 3.1× 787 2.8× 121 0.6× 31 0.2× 129 1.0× 81 1.8k
Silvia Daun Germany 18 266 0.8× 294 1.1× 47 0.2× 27 0.2× 327 2.5× 51 827
J.‐M. Cabelguen France 14 191 0.6× 262 0.9× 181 0.9× 48 0.4× 268 2.1× 18 755
Thelma L. Williams United Kingdom 21 484 1.5× 518 1.9× 603 3.1× 45 0.3× 516 4.0× 33 2.0k

Countries citing papers authored by Alexander Kozlov

Since Specialization
Citations

This map shows the geographic impact of Alexander Kozlov'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 Kozlov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Kozlov more than expected).

Fields of papers citing papers by Alexander Kozlov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Kozlov. 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 Kozlov. The network helps show where Alexander Kozlov may publish in the future.

Co-authorship network of co-authors of Alexander Kozlov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Kozlov. A scholar is included among the top collaborators of Alexander Kozlov 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 Kozlov. Alexander Kozlov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kozlov, Alexander, Lidia Blázquez‐Llorca, Ruth Benavides‐Piccione, et al.. (2025). Mouse and human striatal projection neurons compared - somatodendritic arbor, spines and in silico analyses. PLoS Computational Biology. 21(10). e1013569–e1013569.
2.
Scolamiero, Martina, et al.. (2024). The impact of Parkinson’s disease on striatal network connectivity and corticostriatal drive: An in silico study. Network Neuroscience. 8(4). 1149–1172.
3.
Zhang, Yichen, Лей Ма, Xiaofei Liu, et al.. (2023). A GPU-based computational framework that bridges neuron simulation and artificial intelligence. Nature Communications. 14(1). 5798–5798. 13 indexed citations
4.
Nylén, Johanna, et al.. (2023). The roles of surround inhibition for the intrinsic function of the striatum, analyzed in silico. Proceedings of the National Academy of Sciences. 120(45). e2313058120–e2313058120. 3 indexed citations
5.
Hjorth, J. J. Johannes, Jeanette Hellgren Kotaleski, & Alexander Kozlov. (2021). Predicting Synaptic Connectivity for Large-Scale Microcircuit Simulations Using Snudda. Neuroinformatics. 19(4). 685–701. 6 indexed citations
6.
Korotkov, S. V., et al.. (2018). A Small Dynistor Generator of High-Power Nanosecond Pulses. Instruments and Experimental Techniques. 61(1). 44–46. 2 indexed citations
7.
Korotkov, S. V., et al.. (2018). Switches of High-power Current Pulses with a Submicrosecond Rise Time on the Basis of Series-connected IGBT Transistors. Instruments and Experimental Techniques. 61(1). 38–43. 6 indexed citations
8.
9.
Korotkov, S. V., et al.. (2014). High-power switches based on reversely switched-on dynistors for high-voltage pulse technologies. Instruments and Experimental Techniques. 57(3). 291–295. 8 indexed citations
10.
Korotkov, S. V., et al.. (2012). Installation for air cleaning from organic impurities by plasma formed by barrier discharge of nanosecond duration. Instruments and Experimental Techniques. 55(5). 605–607. 15 indexed citations
11.
Kozlov, Alexander, et al.. (2012). A computational model of visually guided locomotion in lamprey. Biological Cybernetics. 107(5). 497–512. 17 indexed citations
12.
Grillner, Sten, Alexander Kozlov, Paolo Dario, et al.. (2007). Modeling a vertebrate motor system: pattern generation, steering and control of body orientation. Progress in brain research. 165. 221–234. 49 indexed citations
13.
Grillner, Sten, Peter Wallén, Kazuya Saitoh, Alexander Kozlov, & Brita Robertson. (2007). Neural bases of goal-directed locomotion in vertebrates—An overview. Brain Research Reviews. 57(1). 2–12. 246 indexed citations
14.
Grekhov, I. V., et al.. (2007). Semiconductor formers of high-voltage pulses of nanosecond duration. Instruments and Experimental Techniques. 50(3). 350–352. 3 indexed citations
15.
Grillner, Sten, Alexander Kozlov, & Jeanette Hellgren Kotaleski. (2005). Integrative neuroscience: linking levels of analyses. Current Opinion in Neurobiology. 15(5). 614–621. 36 indexed citations
16.
Kozlov, Alexander, Anders Lansner, & Sten Grillner. (2003). Burst dynamics under mixed NMDA and AMPA drive in the models of the lamprey spinal CPG. Neurocomputing. 52-54. 65–71.
17.
Kozlov, Alexander, Fredrik Ullén, Patriq Fagerstedt, et al.. (2002). Mechanisms for lateral turns in lamprey in response to descending unilateral commands: a modeling study. Biological Cybernetics. 86(1). 1–14. 17 indexed citations
18.
Kozlov, Alexander, Grigory V. Osipov, & V. D. Shalfeev. (2002). Suppressing chaos in continuous systems by impulse control. 3. 578–581. 5 indexed citations
19.
Kozlov, Alexander, Erik Aurell, G. N. Orlovsky, et al.. (2001). Modeling postural control in the lamprey. Biological Cybernetics. 84(5). 323–330. 6 indexed citations
20.
Kozlov, Alexander & V. D. Shalfeev. (1993). Selective suppression of deterministic chaotic signals. Technical Physics Letters. 19(12). 769–770. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Josh Merel Breakdown of academic impact, for papers by Serge Rossignol Breakdown of academic impact, for papers by Germán Sumbre Breakdown of academic impact, for papers by Natsue Yoshimura Breakdown of academic impact, for papers by B. Peterson Breakdown of academic impact, for papers by Joseph Ayers Breakdown of academic impact, for papers by Angelo Arleo Breakdown of academic impact, for papers by Silvia Daun Breakdown of academic impact, for papers by J.‐M. Cabelguen Breakdown of academic impact, for papers by Thelma L. Williams
Rankless by CCL
2026