Ivan Sekulić

34 total papers · 572 total citations
5 papers, 26 citations indexed

About

Ivan Sekulić is a scholar working on Artificial Intelligence, Information Systems and Infectious Diseases. According to data from OpenAlex, Ivan Sekulić has authored 5 papers receiving a total of 26 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Information Systems and 0 papers in Infectious Diseases. Recurrent topics in Ivan Sekulić’s work include Topic Modeling (5 papers), Speech and dialogue systems (4 papers) and Natural Language Processing Techniques (3 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 (3 papers). Ivan Sekulić collaborates with scholars based in Switzerland, Netherlands and United Kingdom. Ivan Sekulić's co-authors include Fábio Crestani, Mohammad Aliannejadi, Jeff Dalton and Amir Soleimani and has published in prestigious journals such as ACM Transactions on Intelligent Systems and Technology, arXiv (Cornell University) and Text REtrieval Conference.

Co-authorship network of co-authors of Ivan Sekulić

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Sekulić. A scholar is included among the top collaborators of Ivan Sekulić based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivan Sekulić. Ivan Sekulić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Ivan Sekulić

5 papers receiving 25 citations

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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