Vlado Glavinić

105 total papers · 440 total citations
43 papers, 205 citations indexed

About

Vlado Glavinić is a scholar working on Artificial Intelligence, Human-Computer Interaction and Computer Networks and Communications. According to data from OpenAlex, Vlado Glavinić has authored 43 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 9 papers in Human-Computer Interaction and 8 papers in Computer Networks and Communications. Recurrent topics in Vlado Glavinić's work include Intelligent Tutoring Systems and Adaptive Learning (19 papers), Usability and User Interface Design (8 papers) and Innovative Teaching and Learning Methods (6 papers). Vlado Glavinić is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (19 papers), Usability and User Interface Design (8 papers) and Innovative Teaching and Learning Methods (6 papers). Vlado Glavinić collaborates with scholars based in Croatia, Slovenia and Bosnia and Herzegovina. Vlado Glavinić's co-authors include Andrina Granić, Slavomir Stankov, Boris Motik, Matjaž Colnarič and Željko Žilić and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Educational Computing Research and International Journal of Emerging Technologies in Learning (iJET).

In The Last Decade

Vlado Glavinić

39 papers receiving 175 citations

Author Peers

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

Author						Papers	Cites
Vlado Glavinić	83	79	64	64	31	43	205
Matthew Montebello	115 1.4×	58 0.7×	35 0.5×	104 1.6×	40 1.3×	59	269
Danijel Radošević	65 0.8×	133 1.7×	134 2.1×	98 1.5×	42 1.4×	46	285
Masahito Hirakawa	75 0.9×	82 1.0×	75 1.2×	44 0.7×	28 0.9×	35	272
Mariana Lilley	71 0.9×	88 1.1×	31 0.5×	110 1.7×	86 2.8×	26	275
Yvonne Howard	53 0.6×	98 1.2×	27 0.4×	104 1.6×	60 1.9×	36	263
Anarosa A. F. Brandão	51 0.6×	91 1.2×	43 0.7×	59 0.9×	32 1.0×	63	238
Mariano Rico	67 0.8×	27 0.3×	41 0.6×	54 0.8×	33 1.1×	32	172
Slavomir Stankov	182 2.2×	135 1.7×	70 1.1×	88 1.4×	38 1.2×	44	276
Richard Glassey	37 0.4×	100 1.3×	34 0.5×	90 1.4×	61 2.0×	40	237
Mercedes Gómez-Albarrán	74 0.9×	128 1.6×	72 1.1×	74 1.2×	17 0.5×	23	200

Countries citing papers authored by Vlado Glavinić

Since Specialization

Citations

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

Fields of papers citing papers by Vlado Glavinić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vlado Glavinić

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