Alexander Statnikov

6.8k total citations · 2 hit papers
83 papers, 4.6k citations indexed

About

Alexander Statnikov is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Alexander Statnikov has authored 83 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 27 papers in Artificial Intelligence and 13 papers in Computational Theory and Mathematics. Recurrent topics in Alexander Statnikov's work include Gene expression and cancer classification (23 papers), Bayesian Modeling and Causal Inference (17 papers) and Bioinformatics and Genomic Networks (17 papers). Alexander Statnikov is often cited by papers focused on Gene expression and cancer classification (23 papers), Bayesian Modeling and Causal Inference (17 papers) and Bioinformatics and Genomic Networks (17 papers). Alexander Statnikov collaborates with scholars based in United States, Russia and France. Alexander Statnikov's co-authors include Constantin Aliferis, Ioannis Tsamardinos, Lily Wang, Douglas P. Hardin, Shawn Levy, Isaac R. Galatzer‐Levy, Subramani Mani, Xenofon Koutsoukos, Arieh Y. Shalev and Karen‐Inge Karstoft and has published in prestigious journals such as Bioinformatics, PLoS ONE and Cancer Cell.

In The Last Decade

Alexander Statnikov

80 papers receiving 4.4k citations

Hit Papers

align trajectories

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.

A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis

2004 588 citations Alexander Statnikov, Constantin Aliferis et al. Bioinformatics profile →
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification

2008 515 citations Alexander Statnikov, Constantin Aliferis et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Statnikov United States	30	1.8k	1.6k	386	363	288	83	4.6k
Constantin Aliferis United States	31	2.0k 1.1×	2.8k 1.7×	478 1.2×	495 1.4×	96 0.3×	114	6.3k
Riccardo Bellazzi Italy	46	2.2k 1.2×	1.9k 1.1×	253 0.7×	264 0.7×	47 0.2×	370	8.6k
Ioannis Tsamardinos Greece	30	1.7k 1.0×	2.8k 1.7×	589 1.5×	519 1.4×	66 0.2×	135	5.6k
Anna Goldenberg Canada	32	2.4k 1.3×	1.1k 0.7×	195 0.5×	528 1.5×	81 0.3×	128	5.9k
Paola Sebastiani United States	50	2.9k 1.6×	611 0.4×	90 0.2×	209 0.6×	85 0.3×	229	8.6k
Jiao Li China	30	1.5k 0.8×	968 0.6×	256 0.7×	658 1.8×	61 0.2×	235	4.0k
Jonathan M. Garibaldi United Kingdom	39	1.0k 0.6×	2.4k 1.5×	808 2.1×	411 1.1×	27 0.1×	274	6.5k
Shinn‐Ying Ho Taiwan	40	2.1k 1.2×	645 0.4×	255 0.7×	537 1.5×	62 0.2×	163	4.6k
Massimo Buscema Italy	36	701 0.4×	542 0.3×	117 0.3×	195 0.5×	101 0.4×	195	4.7k
Michael Cantor United States	15	1.9k 1.1×	682 0.4×	187 0.5×	112 0.3×	34 0.1×	40	4.1k

Countries citing papers authored by Alexander Statnikov

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Statnikov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Statnikov

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Statnikov, Alexander, et al.. (2017). Anomaly Detection in Finance: Editors’ Introduction. Knowledge Discovery and Data Mining. 1–7. 15 indexed citations

Statnikov, Alexander, et al.. (2015). Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery. Journal of Machine Learning Research. 16(1). 3219–3267. 11 indexed citations

Karstoft, Karen‐Inge, et al.. (2015). Bridging a translational gap: using machine learning to improve the prediction of PTSD. BMC Psychiatry. 15(1). 30–30. 117 indexed citations

Galatzer‐Levy, Isaac R., Karen‐Inge Karstoft, Alexander Statnikov, & Arieh Y. Shalev. (2014). Quantitative forecasting of PTSD from early trauma responses: A Machine Learning application. Journal of Psychiatric Research. 59. 68–76. 151 indexed citations

Bai, Jane P. F., Alexander V. Alekseyenko, Alexander Statnikov, I‐Ming Wang, & Peggy H. Wong. (2013). Strategic Applications of Gene Expression: From Drug Discovery/Development to Bedside. The AAPS Journal. 15(2). 427–437. 31 indexed citations

Weitkamp, Jörn-Hendrik, et al.. (2011). Expanding the Understanding of Biases in Development of Clinical-Grade Molecular Signatures: A Case Study in Acute Respiratory Viral Infections. PLoS ONE. 6(6). e20662–e20662. 8 indexed citations

Statnikov, Alexander. (2011). A gentle introduction to support vector medicines in biomedicine. WORLD SCIENTIFIC eBooks. 1 indexed citations

Aliferis, Constantin, Alexander Statnikov, Ioannis Tsamardinos, Subramani Mani, & Xenofon Koutsoukos. (2010). Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation. Journal of Machine Learning Research. 11(7). 171–234. 309 indexed citations

Espinosa, Lluı́s, Séverine Cathelin, Teresa D’Altri, et al.. (2010). The Notch/Hes1 Pathway Sustains NF-κB Activation through CYLD Repression in T Cell Leukemia. Cancer Cell. 18(3). 268–281. 214 indexed citations

10.

Aliferis, Constantin, Alexander Statnikov, Ioannis Tsamardinos, Subramani Mani, & Xenofon Koutsoukos. (2010). Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions. Journal of Machine Learning Research. 11(8). 235–284. 106 indexed citations

11.

Guyon, Isabelle, Alexander Statnikov, & Constantin Aliferis. (2009). Time series analysis with the causality workbench. Neural Information Processing Systems. 119–143. 4 indexed citations

12.

Statnikov, Alexander & Constantin Aliferis. (2008). TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries. Neural Information Processing Systems. 249–256. 1 indexed citations

13.

Mani, Subramani, Constantin Aliferis, & Alexander Statnikov. (2008). Bayesian Algorithms for Causal Data Mining. Neural Information Processing Systems. 121–136. 6 indexed citations

14.

Tsamardinos, Ioannis, Alexander Statnikov, Laura E. Brown, & Constantin Aliferis. (2006). Generating realistic large bayesian networks by tiling. The Florida AI Research Society. 592–597. 13 indexed citations

15.

Statnikov, Roman B., et al.. (2006). Multicriteria analysis tools in real-life problems. Computers & Mathematics with Applications. 52(1-2). 1–32. 7 indexed citations

16.

Statnikov, Alexander, Ioannis Tsamardinos, & Constantin Aliferis. (2005). Using the GEMS system for cancer diagnosis and biomarker discovery from microarray gene expression data. National Conference on Artificial Intelligence. 21(3). 1710–1711. 6 indexed citations

17.

Statnikov, Alexander, Constantin Aliferis, Ioannis Tsamardinos, Douglas P. Hardin, & Shawn Levy. (2004). A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. Bioinformatics. 21(5). 631–643. 588 indexed citations breakdown →

18.

Aliferis, Constantin, et al.. (2003). Machine Learning Models for Classification of Lung Cancer and Selection of Genomic Markers Using Array Gene Expression Data.. The Florida AI Research Society. 67–71. 13 indexed citations

19.

Aliferis, Constantin, Ioannis Tsamardinos, Pierre P. Massion, Alexander Statnikov, & Douglas P. Hardin. (2003). Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory Factors.. Human Immunology. 85(6). 47–53. 2 indexed citations

20.

Tsamardinos, Ioannis, Constantin Aliferis, & Alexander Statnikov. (2003). Algorithms for Large Scale Markov Blanket Discovery. The Florida AI Research Society. 376–381. 275 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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