Ivan Sekulić

About

Ivan Sekulić is a scholar working on Artificial Intelligence, Information Systems and Social Psychology. According to data from OpenAlex, Ivan Sekulić has authored 7 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Social Psychology. Recurrent topics in Ivan Sekulić’s work include Topic Modeling (5 papers), Speech and dialogue systems (4 papers) and Natural Language Processing Techniques (4 papers). Ivan Sekulić is often cited by papers focused on Topic Modeling (5 papers), Speech and dialogue systems (4 papers) and Natural Language Processing Techniques (4 papers). Ivan Sekulić collaborates with scholars based in Switzerland, The Netherlands and Croatia. Ivan Sekulić's co-authors include Jan Šnajder, Fábio Crestani, Mohammad Aliannejadi, Mladen Karan, Martin Tutek, Jeff Dalton and Amir Soleimani and has published in prestigious journals such as ACM Transactions on Intelligent Systems and Technology, arXiv (Cornell University) and Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

In The Last Decade

Co-authorship network of co-authors of Ivan Sekulić i

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Fields of papers citing papers by Ivan Sekulić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ivan Sekulić

Since Specialization

Citations

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