Blaise Hanczar
- Molecular Biology
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Physiology
- Computational Theory and Mathematics top 10%
- Co-authors
- Edward R. DoughertyJean‐Daniel ZuckerJianping HuaChao SimaJohn N. WeinsteinMichael BittnerMohamed NadifFarida Zehraoui
- Topics
- Gene expression and cancer classification (24 papers)Bioinformatics and Genomic Networks (14 papers)Machine Learning and Data Classification (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
Blaise Hanczar
37 papers receiving 903 citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 359
- Artificial Intelligence 342
- Computer Vision and Pattern Recognition 112
- Physiology 84
- Computational Theory and Mathematics 76
Countries citing papers authored by Blaise Hanczar
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 17 | |
| 5 | 3 | |
| 6 | 28 | |
| 7 | 23 | |
| 8 | 3 | |
| 9 | 34 | |
| 10 | 28 | |
| 11 | 7 | |
| 12 | Precision-recall space to correct external indices for biclustering | 4 |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option | 47 |
| 17 | 59 | |
| 18 | 42 | |
| 19 | 14 | |
| 20 | 39 |
About Blaise Hanczar
Blaise Hanczar is a scholar working on Artificial Intelligence, Biophysics and Molecular Biology, having authored 39 papers that have together received 934 indexed citations. Recurring topics across this work include Gene expression and cancer classification (24 papers), Bioinformatics and Genomic Networks (14 papers) and Machine Learning and Data Classification (11 papers). The work is most often cited by research in Health Informatics (16 citations), Artificial Intelligence (342 citations) and Statistics and Probability (53 citations). Blaise Hanczar has collaborated with scholars based in France, United States and Netherlands. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.