Matej Artač

569 total citations
11 papers, 328 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 328 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), Cloud Computing and Resource Management (3 papers) and Advanced Vision and Imaging (3 papers). Matej Artač is often cited by papers focused on Software System Performance and Reliability (4 papers), Cloud Computing and Resource Management (3 papers) and Advanced Vision and Imaging (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, Giuliano Casale, Pelle Jakovits, Diego Pérez-Palacín, Alessandra Russo and Satish Narayana Srirama 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 310 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Matej Artač Slovenia	6	137	125	119	63	57	11	328
Arturo González-Escribano Spain	10	74 0.5×	279 2.2×	101 0.8×	45 0.7×	17 0.3×	60	417
Guowu Xie United States	9	95 0.7×	175 1.4×	229 1.9×	213 3.4×	95 1.7×	12	458
Qinglei Zhou China	9	46 0.3×	87 0.7×	78 0.7×	122 1.9×	13 0.2×	69	283
Yosi Ben-Asher Israel	12	75 0.5×	311 2.5×	54 0.5×	48 0.8×	49 0.9×	53	458
Alexander Clemm United States	12	75 0.5×	486 3.9×	185 1.6×	95 1.5×	20 0.4×	69	636
Min Lei China	11	117 0.9×	74 0.6×	148 1.2×	103 1.6×	5 0.1×	35	318
Hua Yan China	11	151 1.1×	44 0.4×	95 0.8×	135 2.1×	12 0.2×	55	367
Neeraj Kumar Rathore India	14	111 0.8×	221 1.8×	206 1.7×	43 0.7×	23 0.4×	27	420
Kai Zhou United States	12	88 0.6×	97 0.8×	132 1.1×	204 3.2×	22 0.4×	53	412
Kirk Webb United States	11	43 0.3×	471 3.8×	168 1.4×	73 1.2×	16 0.3×	24	604

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

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Artač, Matej, et al.. (2020). Co-Allocation with Collective Requests in Grid Systems. JUCS - Journal of Universal Computer Science. 19. 282–300. 1 indexed citations

2.

Casale, Giuliano, Matej Artač, André van Hoorn, et al.. (2019). RADON: rational decomposition and orchestration for serverless computing. TU/e Research Portal. 35(1-2). 77–87. 39 indexed citations

3.

Artač, Matej, et al.. (2018). Infrastructure-as-Code for Data-Intensive Architectures: A Model-Driven Development Approach. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 18 indexed citations

4.

Guerriero, Michele, et al.. (2017). Towards DevOps for Privacy-by-Design in Data-Intensive Applications. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 139–144. 1 indexed citations

5.

Artač, Matej, et al.. (2017). DevOps: Introducing Infrastructure-as-Code. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 497–498. 77 indexed citations

6.

Artač, Matej, et al.. (2016). Model-driven continuous deployment for quality DevOps. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 40–41. 20 indexed citations

7.

Pierre, Guillaume, et al.. (2011). ConPaaS. 1–2. 4 indexed citations

8.

Artač, Matej, et al.. (2005). Panoramic volumes for robot localization. 2668–2674. 3 indexed citations

9.

Artač, Matej, Matjaž Jogan, & Aleš Leonardis. (2003). Incremental PCA for on-line visual learning and recognition. 3. 781–784. 108 indexed citations

10.

Artač, Matej, Matjaž Jogan, & Aleš Leonardis. (2003). Mobile robot localization using an incremental eigenspace model. 1. 1025–1030. 54 indexed citations

11.

Artač, Matej. (2003). Mobile robot localisation with incremental PCA. 192–197. 3 indexed citations

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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