Daniel Berrar

About

Daniel Berrar is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Berrar has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Berrar’s work include Machine Learning and Data Classification (7 papers), Bioinformatics and Genomic Networks (6 papers) and Gene expression and cancer classification (5 papers). Daniel Berrar is often cited by papers focused on Machine Learning and Data Classification (7 papers), Bioinformatics and Genomic Networks (6 papers) and Gene expression and cancer classification (5 papers). Daniel Berrar collaborates with scholars based in Japan, United Kingdom and Germany. Daniel Berrar's co-authors include Werner Dubitzky, Martin Granzow, Peter Flach, Ian Bradbury, Philippe Lopes, C. Stephen Downes, Catherine Hack, Elena Deligianni, Jeyakumar Natarajan and Nigel G. Ternan and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Daniel Berrar i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Daniel Berrar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Berrar

Since Specialization

Citations

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

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