Janez Perš

2.0k total citations
54 papers, 1.3k citations indexed

About

Janez Perš is a scholar working on Computer Vision and Pattern Recognition, Orthopedics and Sports Medicine and Artificial Intelligence. According to data from OpenAlex, Janez Perš has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 13 papers in Orthopedics and Sports Medicine and 11 papers in Artificial Intelligence. Recurrent topics in Janez Perš's work include Video Surveillance and Tracking Methods (14 papers), Sports Performance and Training (13 papers) and Anomaly Detection Techniques and Applications (11 papers). Janez Perš is often cited by papers focused on Video Surveillance and Tracking Methods (14 papers), Sports Performance and Training (13 papers) and Anomaly Detection Techniques and Applications (11 papers). Janez Perš collaborates with scholars based in Slovenia, United Kingdom and Singapore. Janez Perš's co-authors include Matej Kristan, Stanislav Kovačič, Borja Bovcon, Matej Perše, Goran Vučković, Rok Mandeljc, Nic James, S. Kovacic, Mike Hughes and Aleš Leonardis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Pattern Recognition.

In The Last Decade

Janez Perš

54 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Janez Perš Slovenia	19	683	319	293	207	186	54	1.3k
Stanislav Kovačič Slovenia	16	659 1.0×	94 0.3×	92 0.3×	147 0.7×	142 0.8×	37	979
Rikke Gade Denmark	15	732 1.1×	26 0.1×	51 0.2×	256 1.2×	125 0.7×	34	1.3k
Marina Ivašić-Kos Croatia	18	719 1.1×	23 0.1×	35 0.1×	231 1.1×	62 0.3×	61	1.0k
Baihua Li United Kingdom	19	499 0.7×	24 0.1×	22 0.1×	50 0.2×	182 1.0×	76	1.1k
John Zelek Canada	19	922 1.3×	11 0.0×	56 0.2×	339 1.6×	105 0.6×	153	1.5k
Bertrand Merminod Switzerland	17	143 0.2×	51 0.2×	130 0.4×	296 1.4×	216 1.2×	53	839
Paolo Spagnolo Italy	19	650 1.0×	10 0.0×	22 0.1×	63 0.3×	69 0.4×	62	1.0k
Satoshi Iizuka Japan	14	721 1.1×	117 0.4×	16 0.1×	33 0.2×	92 0.5×	39	1.0k
Pier Luigi Mazzeo Italy	19	577 0.8×	7 0.0×	46 0.2×	46 0.2×	46 0.2×	64	1.3k
Ciarán Ó Conaire Ireland	14	504 0.7×	26 0.1×	9 0.0×	139 0.7×	86 0.5×	35	672

Countries citing papers authored by Janez Perš

Since Specialization

Citations

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

Fields of papers citing papers by Janez Perš

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janez Perš

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

All Works

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20 of 20 papers shown

Perš, Janez, et al.. (2023). Joint Calibration of a Multimodal Sensor System for Autonomous Vehicles. Sensors. 23(12). 5676–5676. 3 indexed citations

Bovcon, Borja, et al.. (2021). MODS -- A USV-oriented object detection and obstacle segmentation benchmark. arXiv (Cornell University). 58 indexed citations

Perš, Janez, et al.. (2019). Building Visual Anomaly Dataset from Satellite Data using ADS-B. EPiC series in computing. 67. 44–36. 1 indexed citations

James, Nic, et al.. (2019). Using a Situation Awareness Approach to Identify Differences in the Performance Profiles of the World’s Top Two Squash Players and Their Opponents. Frontiers in Psychology. 10. 1036–1036. 4 indexed citations

James, Nic, et al.. (2017). Using a situation awareness approach to determine decision-making behaviour in squash. Journal of Sports Sciences. 36(12). 1415–1422. 9 indexed citations

James, Nic, et al.. (2016). Effects of rule changes on physical demands and shot characteristics of elite-standard men’s squash and implications for training. Journal of Sports Sciences. 34(23). 2170–2174. 15 indexed citations

Vučković, Goran, Nic James, Mike Hughes, et al.. (2014). A new method for assessing squash tactics using 15 court areas for ball locations. Human Movement Science. 34. 81–90. 13 indexed citations

Martínez-Gallego, Rafael, et al.. (2013). MOVEMENT CHARACTERISTICS OF ELITE TENNIS PLAYERS ON HARD COURTS WITH RESPECT TO THE DIRECTION OF GROUND STROKES. SHILAP Revista de lepidopterología. 32 indexed citations

Vučković, Goran, et al.. (2013). The effect of court location and available time on the tactical shot selection of elite squash players.. PubMed. 12(1). 66–73. 18 indexed citations

10.

Mandeljc, Rok, Janez Perš, Matej Kristan, & Stanislav Kovačič. (2011). Fusion of non-visual modalities into the Probabilistic Occupancy Map framework for person localization. 2. 1–6. 7 indexed citations

11.

Kristan, Matej, Stanislav Kovačič, Aleš Leonardis, & Janez Perš. (2010). A Two-Stage Dynamic Model for Visual Tracking. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 40(6). 1505–1520. 47 indexed citations

12.

Perš, Janez, et al.. (2010). Dimensionality Reduction for Distributed Vision Systems Using Random Projection. 65. 380–383. 3 indexed citations

13.

Perš, Janez, et al.. (2009). A Multistage Registration Method Using Texture Features. Journal of Digital Imaging. 23(3). 287–300. 1 indexed citations

14.

Vučković, Goran, Janez Perš, Nic James, & Mike Hughes. (2009). Tactical use of the T area in squash by players of differing standard. Journal of Sports Sciences. 27(8). 863–871. 32 indexed citations

15.

Perše, Matej, Matej Kristan, Stanislav Kovačič, Goran Vučković, & Janez Perš. (2008). A trajectory-based analysis of coordinated team activity in a basketball game. Computer Vision and Image Understanding. 113(5). 612–621. 97 indexed citations

16.

Perš, Janez, Matej Kristan, Matej Perše, & Stanislav Kovačič. (2008). Analysis of Player Motion in Sport Matches. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 0. 7 indexed citations

17.

Kristan, Matej, Janez Perš, Matej Perše, & Stanislav Kovačič. (2008). Closed-world tracking of multiple interacting targets for indoor-sports applications. Computer Vision and Image Understanding. 113(5). 598–611. 42 indexed citations

18.

Vučković, Goran, et al.. (2005). Motion analysis of the international and national rank squash players. 334–338. 10 indexed citations

19.

Perš, Janez, et al.. (2004). Observing Human Motion Using Far-Infrared (FLIR) Camera - Some Preliminary Studies. 2 indexed citations

20.

Perš, Janez, et al.. (2002). Observation and analysis of large-scale human motion. Human Movement Science. 21(2). 295–311. 77 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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