Daniel Berleant

51 papers and 655 indexed citations i.

About

Daniel Berleant is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Daniel Berleant has authored 51 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 12 papers in Molecular Biology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Daniel Berleant’s work include Semantic Web and Ontologies (10 papers), Biomedical Text Mining and Ontologies (9 papers) and Probabilistic and Robust Engineering Design (5 papers). Daniel Berleant is often cited by papers focused on Semantic Web and Ontologies (10 papers), Biomedical Text Mining and Ontologies (9 papers) and Probabilistic and Robust Engineering Design (5 papers). Daniel Berleant collaborates with scholars based in United States, France and United Kingdom. Daniel Berleant's co-authors include Benjamin Kuipers, Eve Syrkin Wurtele, Jianzhong Zhang, Dan Nettleton, Jie Ding, Chaim Goodman-Strauss, Scott Ferson, Helen M. Regan, Hal Berghel and Michael Bauer and has published in prestigious journals such as Bioinformatics, Communications of the ACM and BMC Bioinformatics.

In The Last Decade

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

Fields of papers citing papers by Daniel Berleant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Berleant

Since Specialization
Citations

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

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2025