John Dagdelen

About

John Dagdelen is a scholar working on Materials Chemistry, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, John Dagdelen has authored 11 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 4 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in John Dagdelen’s work include Machine Learning in Materials Science (6 papers), Topic Modeling (4 papers) and Biomedical Text Mining and Ontologies (3 papers). John Dagdelen is often cited by papers focused on Machine Learning in Materials Science (6 papers), Topic Modeling (4 papers) and Biomedical Text Mining and Ontologies (3 papers). John Dagdelen collaborates with scholars based in United States, China and India. John Dagdelen's co-authors include Kristin A. Persson, Anubhav Jain, Gerbrand Ceder, Alexander Dunn, Vahe Tshitoyan, Olga Kononova, Leigh Weston, Ziqin Rong, Joseph H. Montoya and Maarten de Jong and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of John Dagdelen i

Layout:

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

Fields of papers citing papers by John Dagdelen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Dagdelen

Since Specialization

Citations

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