Slavomir Stankov

94 total papers · 466 total citations
44 papers, 276 citations indexed

About

Slavomir Stankov is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Slavomir Stankov has authored 44 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 14 papers in Computer Science Applications and 10 papers in Developmental and Educational Psychology. Recurrent topics in Slavomir Stankov's work include Intelligent Tutoring Systems and Adaptive Learning (34 papers), Online Learning and Analytics (9 papers) and Semantic Web and Ontologies (8 papers). Slavomir Stankov is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (34 papers), Online Learning and Analytics (9 papers) and Semantic Web and Ontologies (8 papers). Slavomir Stankov collaborates with scholars based in Croatia, Bosnia and Herzegovina and Türkiye. Slavomir Stankov's co-authors include Vlado Glavinić, Andrina Granić, Maja Štula, Arta Dodaj, Nada Bezić, Igor Milovanović, Nenad Bolf and Emina Milovanović and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computers & Education.

In The Last Decade

Slavomir Stankov

42 papers receiving 241 citations

Author Peers

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

Author						Papers	Cites
Slavomir Stankov	182	135	88	70	38	44	276
Pythagoras Karampiperis	137 0.8×	140 1.0×	104 1.2×	100 1.4×	40 1.1×	27	311
Amali Weerasinghe	135 0.7×	142 1.1×	71 0.8×	91 1.3×	43 1.1×	27	316
Sucheta V. Kolekar	94 0.5×	171 1.3×	102 1.2×	113 1.6×	61 1.6×	25	308
Jui-Feng Weng	125 0.7×	123 0.9×	183 2.1×	51 0.7×	33 0.9×	21	308
Francisco Jurado	118 0.6×	127 0.9×	129 1.5×	49 0.7×	20 0.5×	39	300
Vlado Glavinić	83 0.5×	79 0.6×	64 0.7×	64 0.9×	31 0.8×	43	205
Mercedes Gómez-Albarrán	74 0.4×	128 0.9×	74 0.8×	72 1.0×	17 0.4×	23	200
Mikel Larrañaga	87 0.5×	134 1.0×	83 0.9×	58 0.8×	61 1.6×	52	275
Thomas Way	70 0.4×	102 0.8×	102 1.2×	46 0.7×	23 0.6×	36	303
Khairil Imran Ghauth	141 0.8×	148 1.1×	200 2.3×	57 0.8×	23 0.6×	22	308

Countries citing papers authored by Slavomir Stankov

Since Specialization

Citations

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

Fields of papers citing papers by Slavomir Stankov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Slavomir Stankov

This figure shows the co-authorship network connecting the top 25 collaborators of Slavomir Stankov. A scholar is included among the top collaborators of Slavomir Stankov 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 Slavomir Stankov. Slavomir Stankov 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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