Constantin Aliferis

10.4k total citations · 4 hit papers
114 papers, 6.3k citations indexed

About

Constantin Aliferis is a scholar working on Molecular Biology, Artificial Intelligence and Surgery. According to data from OpenAlex, Constantin Aliferis has authored 114 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 42 papers in Artificial Intelligence and 8 papers in Surgery. Recurrent topics in Constantin Aliferis's work include Bayesian Modeling and Causal Inference (24 papers), Gene expression and cancer classification (23 papers) and Biomedical Text Mining and Ontologies (15 papers). Constantin Aliferis is often cited by papers focused on Bayesian Modeling and Causal Inference (24 papers), Gene expression and cancer classification (23 papers) and Biomedical Text Mining and Ontologies (15 papers). Constantin Aliferis collaborates with scholars based in United States, Greece and Germany. Constantin Aliferis's co-authors include Ioannis Tsamardinos, Alexander Statnikov, Laura E. Brown, Yindalon Aphinyanaphongs, Lily Wang, Douglas P. Hardin, Shawn Levy, Subramani Mani, Xenofon Koutsoukos and Mikael Henaff and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Constantin Aliferis

108 papers receiving 6.0k 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.

The max-min hill-climbing Bayesian network structure learning algorithm

2006 1.1k citations Ioannis Tsamardinos, Laura E. Brown et al. Machine Learning profile →
Studies in Health Technology and Informatics

2007 645 citations Constantin Aliferis et al. profile →
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

Constantin Aliferis

MSOR

CTM

CVPR

Jonathan M. Garibaldi United Kingdom

Russell Greiner Canada

Ioannis Tsamardinos Greece

Xiaoqian Jiang United States

Gregory F. Cooper United States

Edward H. Herskovits United States

Alexander Statnikov United States

Shu‐Kay Ng Australia

Nan Liu China

Frank Klawonn Germany

Jonathan M. Garibaldi United Kingdom

Constantin Aliferis

2.4k ×0.9

1.0k ×0.5

930 ×1.7

MSOR

411 ×0.8

CTM

808 ×1.7

CVPR

Citations per year, relative to Constantin Aliferis Constantin Aliferis (= 1×) peers Jonathan M. Garibaldi

Countries citing papers authored by Constantin Aliferis

Since Specialization

Citations

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

Fields of papers citing papers by Constantin Aliferis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Constantin Aliferis

This figure shows the co-authorship network connecting the top 25 collaborators of Constantin Aliferis. A scholar is included among the top collaborators of Constantin Aliferis 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 Constantin Aliferis. Constantin Aliferis 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

Ma, Sisi, Monica J. Hubal, Matthew Morris, et al.. (2025). Sex-specific skeletal muscle gene expression responses to exercise reveal novel direct mediators of insulin sensitivity change. PubMed. 2(2). ugaf010–ugaf010. 1 indexed citations

Zhang, Xin, Sisi Ma, Erik J. Soderblom, et al.. (2024). 165 Plasma Pathogenic Extracellular Vesicle Subpopulations Predict Progression of Knee Radiographic Osteoarthritis. Osteoarthritis and Cartilage. 32. S124–S124. 1 indexed citations

Zhang, Xin, et al.. (2024). Immune System-Related Plasma Pathogenic Extracellular Vesicle Subpopulations Predict Osteoarthritis Progression. International Journal of Molecular Sciences. 25(23). 12504–12504. 4 indexed citations

Winterhoff, Boris, Stefan Kommoss, Florian Heitz, et al.. (2018). Developing a Clinico-Molecular Test for Individualized Treatment of Ovarian Cancer: The interplay of Precision Medicine Informatics with Clinical and Health Economics Dimensions.. eScholarship (California Digital Library). 2018. 1093–1102. 5 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

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

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

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

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

10.

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

11.

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

12.

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

13.

Tsamardinos, Ioannis, Laura E. Brown, & Constantin Aliferis. (2006). The max-min hill-climbing Bayesian network structure learning algorithm. Machine Learning. 65(1). 31–78. 1061 indexed citations breakdown →

14.

Brown, Laura E., Ioannis Tsamardinos, & Constantin Aliferis. (2005). A comparison of novel and state-of-the-art polynomial Bayesian network learning algorithms. National Conference on Artificial Intelligence. 739–745. 16 indexed citations

15.

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

16.

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 →

17.

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

18.

Tsamardinos, Ioannis & Constantin Aliferis. (2003). Towards Principled Feature Selection: Relevancy, Filters and Wrappers. International Conference on Artificial Intelligence and Statistics. 300–307. 140 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.

Explore authors with similar magnitude of impact