Goran Nenadić

132 papers and 2.7k indexed citations i.

About

Goran Nenadić is a scholar working on Molecular Biology, Artificial Intelligence and Health. According to data from OpenAlex, Goran Nenadić has authored 132 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 75 papers in Artificial Intelligence and 11 papers in Health. Recurrent topics in Goran Nenadić’s work include Biomedical Text Mining and Ontologies (69 papers), Topic Modeling (44 papers) and Natural Language Processing Techniques (36 papers). Goran Nenadić is often cited by papers focused on Biomedical Text Mining and Ontologies (69 papers), Topic Modeling (44 papers) and Natural Language Processing Techniques (36 papers). Goran Nenadić collaborates with scholars based in United Kingdom, Australia and Serbia. Goran Nenadić's co-authors include ‪Irena Spasić, John Keane, Martin Gerner, Casey Bergman, Michael Krauthammer, Adrian Stetco, Mike Barnes, Fateme Dinmohammadi, Valentin Robu and David Flynn and has published in prestigious journals such as Bioinformatics, PLoS ONE and Pain.

In The Last Decade

Co-authorship network of co-authors of Goran Nenadić i

Fields of papers citing papers by Goran Nenadić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Goran Nenadić

Since Specialization
Citations

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

Rankless by CCL
2025