Alexander Genkin

1.0k total citations · 1 hit paper
9 papers, 620 citations indexed

About

Alexander Genkin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Alexander Genkin has authored 9 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Cognitive Neuroscience. Recurrent topics in Alexander Genkin's work include Neural dynamics and brain function (2 papers), Face and Expression Recognition (2 papers) and Advanced Memory and Neural Computing (2 papers). Alexander Genkin is often cited by papers focused on Neural dynamics and brain function (2 papers), Face and Expression Recognition (2 papers) and Advanced Memory and Neural Computing (2 papers). Alexander Genkin collaborates with scholars based in United States, Russia and Netherlands. Alexander Genkin's co-authors include David Madigan, David Lewis, Dmitri B. Chklovskii, Ilya Muchnik, Tao Hu, Cengiz Pehlevan, Jason J. Moore, Rob R. de Ruyter van Steveninck, Casimir A. Kulikowski and Paul B. Kantor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Technometrics and Neural Computation.

In The Last Decade

Alexander Genkin

9 papers receiving 570 citations

Hit Papers

Large-Scale Bayesian Logistic Regression for Text Categor... 2007 2026 2013 2019 2007 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Large-Scale Bayesian Logistic Regression for Text Categorization
    2007 541 citations Alexander Genkin, David Lewis et al. Technometrics profile →

Peers

Alexander Genkin
Eunho Yang South Korea
Ananda Theertha Suresh United States
Yunzhang Zhu United States
Vitaly Feldman United States
Ronny Luss United States
Prem Gopalan United States
Michael Brückner Thailand
Tu-Bao Ho Japan
Abhradeep Thakurta United States
Frank J. Oles United States
Eunho Yang South Korea
Alexander Genkin
Citations per year, relative to Alexander Genkin Alexander Genkin (= 1×) peers Eunho Yang

Countries citing papers authored by Alexander Genkin

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Genkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Genkin

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

All Works

9 of 9 papers shown
1.
Moore, Jason J., et al.. (2024). The neuron as a direct data-driven controller. Proceedings of the National Academy of Sciences. 121(27). e2311893121–e2311893121. 8 indexed citations
2.
Pehlevan, Cengiz, Alexander Genkin, & Dmitri B. Chklovskii. (2017). A clustering neural network model of insect olfaction. 593–600. 9 indexed citations
3.
Genkin, Alexander, et al.. (2017). Distributed coordinate descent for generalized linear models with regularization. Pattern Recognition and Image Analysis. 27(2). 349–364. 5 indexed citations
4.
Hu, Tao, Alexander Genkin, & Dmitri B. Chklovskii. (2012). A Network of Spiking Neurons for Computing Sparse Representations in an Energy-Efficient Way. Neural Computation. 24(11). 2852–2872. 12 indexed citations
5.
Genkin, Alexander, David Lewis, & David Madigan. (2007). Large-Scale Bayesian Logistic Regression for Text Categorization. Technometrics. 49(3). 291–304. 541 indexed citations breakdown →
6.
Lewis, David, et al.. (2006). Constructing informative prior distributions from domain knowledge in text classification. 493–500. 30 indexed citations
7.
Genkin, Alexander, et al.. (2004). DIMACS AT THE TREC 2005 GENOMICS TRACK. Text REtrieval Conference. 4 indexed citations
8.
Genkin, Alexander, Casimir A. Kulikowski, & Ilya Muchnik. (2002). Set covering submodular maximization: An optimal algorithm for data mining in bioinformatics and medical informatics. Journal of Intelligent & Fuzzy Systems. 12(1). 5–17. 2 indexed citations
9.
Genkin, Alexander & Ilya Muchnik. (1993). Fixed points approach to clustering. Journal of Classification. 10(2). 219–240. 9 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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