Matej Artač

22 total papers · 567 total citations
11 papers, 325 citations indexed

About

Matej Artač is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matej Artač has authored 11 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 6 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matej Artač's work include Software System Performance and Reliability (4 papers), Robotics and Sensor-Based Localization (3 papers) and Cloud Computing and Resource Management (3 papers). Matej Artač is often cited by papers focused on Software System Performance and Reliability (4 papers), Robotics and Sensor-Based Localization (3 papers) and Cloud Computing and Resource Management (3 papers). Matej Artač collaborates with scholars based in Slovenia, Italy and Netherlands. Matej Artač's co-authors include Matjaž Jogan, Aleš Leonardis, Damian A. Tamburri, Michele Guerriero, Elisabetta Di Nitto, Satish Narayana Srirama, Giuliano Casale, Diego Pérez-Palacín, Alessandra Russo and Pelle Jakovits and has published in prestigious journals such as JUCS - Journal of Universal Computer Science, TU/e Research Portal and Virtual Community of Pathological Anatomy (University of Castilla La Mancha).

In The Last Decade

Matej Artač

11 papers receiving 309 citations

Author Peers

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

Author						Papers	Cites
Matej Artač	137	123	117	64	57	11	325
Mahdi Rabbani	122 0.9×	117 1.0×	76 0.6×	128 2.0×	8 0.1×	18	365
Leocundo Aguilar	31 0.2×	105 0.9×	94 0.8×	56 0.9×	18 0.3×	24	332
Andreas Pfadler	94 0.7×	84 0.7×	103 0.9×	129 2.0×	27 0.5×	24	356
Jianwei Li	61 0.4×	82 0.7×	130 1.1×	108 1.7×	7 0.1×	16	302
Beat Gfeller	81 0.6×	89 0.7×	80 0.7×	82 1.3×	23 0.4×	17	283
Yuxuan Yang	54 0.4×	138 1.1×	65 0.6×	76 1.2×	112 2.0×	23	288
Jamil Ahmad	46 0.3×	105 0.9×	105 0.9×	137 2.1×	6 0.1×	18	353
Md Arif Hassan	92 0.7×	124 1.0×	135 1.2×	74 1.2×	9 0.2×	9	356
Lei Xu	151 1.1×	52 0.4×	21 0.2×	97 1.5×	114 2.0×	18	289
Simone Mangiante	98 0.7×	246 2.0×	79 0.7×	34 0.5×	10 0.2×	19	346

Countries citing papers authored by Matej Artač

Since Specialization

Citations

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

Fields of papers citing papers by Matej Artač

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matej Artač

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