Mikhail Genkin

613 total citations
14 papers, 329 citations indexed

About

Mikhail Genkin is a scholar working on Computer Networks and Communications, Condensed Matter Physics and Artificial Intelligence. According to data from OpenAlex, Mikhail Genkin has authored 14 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Condensed Matter Physics and 3 papers in Artificial Intelligence. Recurrent topics in Mikhail Genkin's work include Micro and Nano Robotics (5 papers), Neural dynamics and brain function (2 papers) and Modular Robots and Swarm Intelligence (2 papers). Mikhail Genkin is often cited by papers focused on Micro and Nano Robotics (5 papers), Neural dynamics and brain function (2 papers) and Modular Robots and Swarm Intelligence (2 papers). Mikhail Genkin collaborates with scholars based in United States, Canada and Georgia. Mikhail Genkin's co-authors include Igor S. Aranson, Andrey Sokolov, Tatiana A. Engel, Oleg D. Lavrentovich, Christopher Langdon, J.J. McArthur, Taras Turiv, Qi‐Huo Wei, Hao Yu and Kristian Thijssen and has published in prestigious journals such as Nature, Nature reviews. Neuroscience and Nature Physics.

In The Last Decade

Mikhail Genkin

14 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikhail Genkin United States 8 166 104 67 64 50 14 329
Yixin Peng China 13 367 2.2× 107 1.0× 318 4.7× 43 0.7× 11 0.2× 38 537
Konrad Giżyński Poland 11 38 0.2× 23 0.2× 139 2.1× 21 0.3× 16 0.3× 23 321
Xiaobin Wang China 12 17 0.1× 56 0.5× 46 0.7× 58 0.9× 24 0.5× 25 575
Nidhi Pashine United States 6 28 0.2× 157 1.5× 89 1.3× 39 0.6× 13 0.3× 14 359
Junlong Li China 9 17 0.1× 26 0.3× 72 1.1× 83 1.3× 13 0.3× 25 328
Jason W. Rocks United States 8 23 0.1× 61 0.6× 79 1.2× 29 0.5× 9 0.2× 17 310
Yan Fang United States 11 16 0.1× 29 0.3× 59 0.9× 75 1.2× 6 0.1× 55 392
Xiaoyong Xue China 15 33 0.2× 10 0.1× 47 0.7× 20 0.3× 33 0.7× 86 716
Advait Madhavan United States 12 23 0.1× 10 0.1× 24 0.4× 37 0.6× 33 0.7× 37 483
Adriano Cavalcanti Australia 16 271 1.6× 84 0.8× 503 7.5× 7 0.1× 7 0.1× 26 690

Countries citing papers authored by Mikhail Genkin

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Genkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Genkin

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

All Works

14 of 14 papers shown
1.
Genkin, Mikhail, Krishna V. Shenoy, Chandramouli Chandrasekaran, & Tatiana A. Engel. (2025). The dynamics and geometry of choice in the premotor cortex. Nature. 645(8079). 168–176. 6 indexed citations
2.
Genkin, Mikhail & J.J. McArthur. (2023). B-SMART: A reference architecture for artificially intelligent autonomic smart buildings. Engineering Applications of Artificial Intelligence. 121. 106063–106063. 23 indexed citations
3.
Langdon, Christopher, Mikhail Genkin, & Tatiana A. Engel. (2023). A unifying perspective on neural manifolds and circuits for cognition. Nature reviews. Neuroscience. 24(6). 363–377. 63 indexed citations
4.
Genkin, Mikhail & J.J. McArthur. (2022). Using Reinforcement Learning with Transfer Learning to Overcome Smart Building Cold Start. Figshare. 713–718. 1 indexed citations
5.
Genkin, Mikhail, et al.. (2022). Non-symmetric pinning of topological defects in living liquid crystals. Communications Physics. 5(1). 13 indexed citations
6.
Genkin, Mikhail & J.J. McArthur. (2022). B-SMART: A Reference Architecture for Autonomic Smart Buildings.. IOP Conference Series Earth and Environmental Science. 1101(9). 92036–92036. 2 indexed citations
7.
Genkin, Mikhail & Tatiana A. Engel. (2020). Moving beyond generalization to accurate interpretation of flexible models. Nature Machine Intelligence. 2(11). 674–683. 19 indexed citations
8.
Genkin, Mikhail. (2020). Zero-Shot Machine Learning Technique for Classification of Multi-User Big Data Workloads. 20. 5046–5055. 1 indexed citations
10.
Turiv, Taras, Kristian Thijssen, Mikhail Genkin, et al.. (2020). Polar jets of swimming bacteria condensed by a patterned liquid crystal. Nature Physics. 16(4). 481–487. 61 indexed citations
11.
Genkin, Mikhail & Frank Dehne. (2019). Autonomic Workload Change Classification and Prediction for Big Data Workloads. 1149. 2835–2844. 2 indexed citations
12.
Genkin, Mikhail, Andrey Sokolov, & Igor S. Aranson. (2018). Spontaneous topological charging of tactoids in a living nematic. New Journal of Physics. 20(4). 43027–43027. 22 indexed citations
13.
Genkin, Mikhail, Andrey Sokolov, Oleg D. Lavrentovich, & Igor S. Aranson. (2017). Topological Defects in a Living Nematic Ensnare Swimming Bacteria. Physical Review X. 7(1). 90 indexed citations
14.
Genkin, Mikhail, et al.. (2016). Automatic, On-Line Tuning of YARN Container Memory and CPU Parameters. 4. 317–324. 7 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.

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