Blaise Hanczar

69 total papers · 1.4k total citations
38 papers, 926 citations indexed

About

Blaise Hanczar is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Blaise Hanczar has authored 38 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 21 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Blaise Hanczar's work include Gene expression and cancer classification (23 papers), Bioinformatics and Genomic Networks (13 papers) and Machine Learning and Data Classification (11 papers). Blaise Hanczar is often cited by papers focused on Gene expression and cancer classification (23 papers), Bioinformatics and Genomic Networks (13 papers) and Machine Learning and Data Classification (11 papers). Blaise Hanczar collaborates with scholars based in France, United States and Canada. Blaise Hanczar's co-authors include Edward R. Dougherty, Jean‐Daniel Zucker, Jianping Hua, Chao Sima, John N. Weinstein, Michael Bittner, Mohamed Nadif, Farida Zehraoui, Karine Clément and Malik Sajjad Ahmed Nadeem and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Blaise Hanczar

37 papers receiving 895 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Blaise Hanczar	353	341	112	84	74	38	926
Vanathi Gopalakrishnan	455 1.3×	190 0.6×	49 0.4×	103 1.2×	30 0.4×	52	1.0k
Feijiang Li	162 0.5×	280 0.8×	150 1.3×	111 1.3×	117 1.6×	33	856
Vincenzo Lagani	422 1.2×	206 0.6×	27 0.2×	137 1.6×	40 0.5×	70	1.2k
Staal A. Vinterbo	329 0.9×	464 1.4×	80 0.7×	11 0.1×	100 1.4×	41	1.1k
Stijn Meganck	593 1.7×	316 0.9×	132 1.2×	25 0.3×	53 0.7×	25	1.1k
Samantha Riccadonna	332 0.9×	149 0.4×	56 0.5×	21 0.3×	37 0.5×	24	1.0k
Arianna Dagliati	233 0.7×	309 0.9×	30 0.3×	36 0.4×	36 0.5×	49	981
Dhammika Amaratunga	487 1.4×	98 0.3×	44 0.4×	39 0.5×	57 0.8×	49	998
Guzmán Santafé	378 1.1×	272 0.8×	49 0.4×	18 0.2×	91 1.2×	16	908
Mu Zhu	259 0.7×	273 0.8×	159 1.4×	25 0.3×	36 0.5×	42	1.1k

Countries citing papers authored by Blaise Hanczar

Since Specialization

Citations

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

Fields of papers citing papers by Blaise Hanczar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Blaise Hanczar

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

All Works

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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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