Sanja Seljan

131 total papers · 751 total citations
64 papers, 440 citations indexed

About

Sanja Seljan is a scholar working on Artificial Intelligence, Language and Linguistics and Information Systems. According to data from OpenAlex, Sanja Seljan has authored 64 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 19 papers in Language and Linguistics and 10 papers in Information Systems. Recurrent topics in Sanja Seljan's work include Natural Language Processing Techniques (24 papers), Topic Modeling (14 papers) and Translation Studies and Practices (11 papers). Sanja Seljan is often cited by papers focused on Natural Language Processing Techniques (24 papers), Topic Modeling (14 papers) and Translation Studies and Practices (11 papers). Sanja Seljan collaborates with scholars based in Croatia, Slovenia and Poland. Sanja Seljan's co-authors include Mirjana Pejić Bach, Živko Krstić, Lejla Turulja, Marija Brkić Bakarić, Jovana Zoroja, Ana Aleksić, Sonja Špiranec, Mihaela Banek Zorica, Maja Baretić and Bojana Dalbelo Bašić and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Electronics.

In The Last Decade

Sanja Seljan

56 papers receiving 391 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sanja Seljan 160 68 53 44 39 64 440
Tatiana Gavrilova 167 1.0× 89 1.3× 34 0.6× 6 0.1× 47 1.2× 49 387
Tokuro Matsuo 178 1.1× 76 1.1× 73 1.4× 6 0.1× 64 1.6× 103 440
Bella Hass Weinberg 96 0.6× 120 1.8× 73 1.4× 9 0.2× 9 0.2× 49 423
Alexei Tretiakov 81 0.5× 152 2.2× 89 1.7× 8 0.2× 14 0.4× 52 486
Ching‐Ying Lin 80 0.5× 40 0.6× 48 0.9× 11 0.3× 9 0.2× 25 427
Abbas Foroughi 159 1.0× 72 1.1× 138 2.6× 10 0.2× 96 2.5× 22 429
Norasnita Ahmad 69 0.4× 65 1.0× 197 3.7× 9 0.2× 21 0.5× 26 473
Fuyuki Yoshikane 95 0.6× 108 1.6× 29 0.5× 8 0.2× 30 0.8× 41 420
Joseph T. Tennis 134 0.8× 116 1.7× 87 1.6× 16 0.4× 33 0.8× 76 416
Alessia D’Andrea 195 1.2× 84 1.2× 102 1.9× 6 0.1× 24 0.6× 39 397

Countries citing papers authored by Sanja Seljan

Since Specialization
Citations

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

Fields of papers citing papers by Sanja Seljan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanja Seljan

This figure shows the co-authorship network connecting the top 25 collaborators of Sanja Seljan. A scholar is included among the top collaborators of Sanja Seljan 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 Sanja Seljan. Sanja Seljan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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