Matej Kristan

11.6k total citations · 4 hit papers
89 papers, 4.0k citations indexed

About

Matej Kristan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Matej Kristan has authored 89 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 17 papers in Aerospace Engineering. Recurrent topics in Matej Kristan's work include Video Surveillance and Tracking Methods (30 papers), Robotics and Sensor-Based Localization (15 papers) and Advanced Image and Video Retrieval Techniques (14 papers). Matej Kristan is often cited by papers focused on Video Surveillance and Tracking Methods (30 papers), Robotics and Sensor-Based Localization (15 papers) and Advanced Image and Video Retrieval Techniques (14 papers). Matej Kristan collaborates with scholars based in Slovenia, United Kingdom and Czechia. Matej Kristan's co-authors include Danijel Skočaj, Luka Čehovin Zajc, Vitjan Zavrtanik, Aleš Leonardis, Jiřı́ Matas, Janez Perš, Alan Lukežič, Stanislav Kovačič, Borja Bovcon and Matej Perše and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and Pattern Recognition.

In The Last Decade

Matej Kristan

85 papers receiving 3.9k citations

Hit Papers

Discriminative Correlation Filter with Channel and Spatia... 2016 2026 2019 2022 2017 2021 2020 2016 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Discriminative Correlation Filter with Channel and Spatial Reliability
    2017 778 citations Alan Lukežič, Luka Čehovin Zajc et al. profile →
  2. DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection
    2021 447 citations Vitjan Zavrtanik, Matej Kristan et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →
  3. Reconstruction by inpainting for visual anomaly detection
    2020 395 citations Vitjan Zavrtanik, Matej Kristan et al. profile →
  4. A Novel Performance Evaluation Methodology for Single-Target Trackers
    2016 385 citations Matej Kristan, Jiřı́ Matas et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Matej Kristan
Toby P. Breckon United Kingdom
Fábio Ramos Australia
Mingxing Tan United States
Honggang Qi China
Zhang Zhang China
Kai Han China
Qilong Wang China
Jianyuan Guo China
Peng Zheng China
Dietrich Paulus Germany
Toby P. Breckon United Kingdom
Matej Kristan
Citations per year, relative to Matej Kristan Matej Kristan (= 1×) peers Toby P. Breckon

Countries citing papers authored by Matej Kristan

Since Specialization
Citations

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

Fields of papers citing papers by Matej Kristan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matej Kristan

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

All Works

20 of 20 papers shown
1.
Lukežič, Alan, et al.. (2025). A Distractor-Aware Memory for Visual Object Tracking with SAM2. 24255–24264. 1 indexed citations
2.
Zavrtanik, Vitjan, et al.. (2025). CRITER 1.0: a coarse reconstruction with iterative refinement network for sparse spatio-temporal satellite data. Geoscientific model development. 18(17). 5549–5573.
3.
Ličer, Matjaž, Matej Kristan, Ilja Maljutenko, et al.. (2025). Application of the HIDRA2 deep-learning model for sea level forecasting along the Estonian coast of the Baltic Sea. Ocean science. 21(4). 1315–1327.
4.
Zavrtanik, Vitjan, Matej Kristan, & Danijel Skočaj. (2024). Keep DRÆMing: Discriminative 3D anomaly detection through anomaly simulation. Pattern Recognition Letters. 181. 113–119. 9 indexed citations
5.
Lukežič, Alan, et al.. (2024). A New Dataset and a Distractor-Aware Architecture for Transparent Object Tracking. International Journal of Computer Vision. 132(8). 2729–2742.
6.
Kristan, Matej, et al.. (2023). HIDRA2: deep-learning ensemble sea level and storm tide forecasting in the presence of seiches – the case of the northern Adriatic. Geoscientific model development. 16(1). 271–288. 9 indexed citations
7.
Žust, Lojze, et al.. (2023). eWaSR—An Embedded-Compute-Ready Maritime Obstacle Detection Network. Sensors. 23(12). 5386–5386. 7 indexed citations
8.
Žust, Lojze & Matej Kristan. (2022). Temporal Context for Robust Maritime Obstacle Detection. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 6340–6346. 11 indexed citations
9.
Zavrtanik, Vitjan, Matej Kristan, & Danijel Skočaj. (2021). DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8310–8319. 447 indexed citations breakdown →
10.
Žust, Lojze, et al.. (2021). HIDRA 1.0: deep-learning-based ensemble sea level forecasting in the northern Adriatic. Geoscientific model development. 14(4). 2057–2074. 17 indexed citations
11.
Lukežič, Alan, et al.. (2020). Performance Evaluation Methodology for Long-Term Single-Object Tracking. IEEE Transactions on Cybernetics. 51(12). 6305–6318. 16 indexed citations
12.
Bovcon, Borja & Matej Kristan. (2018). Obstacle Detection for USVs by Joint Stereo-View Semantic Segmentation. 5807–5812. 24 indexed citations
13.
Zajc, Luka Čehovin, Alan Lukežič, Aleš Leonardis, & Matej Kristan. (2017). . University of Birmingham Research Portal (University of Birmingham). 14 indexed citations
14.
Kristan, Matej, Jiřı́ Matas, Aleš Leonardis, et al.. (2016). A Novel Performance Evaluation Methodology for Single-Target Trackers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(11). 2137–2155. 385 indexed citations breakdown →
15.
Mandeljc, Rok, et al.. (2012). Dana36: A Multi-camera Image Dataset for Object Identification in Surveillance Scenarios. 64–69. 13 indexed citations
16.
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
17.
Kristan, Matej, Danijel Skočaj, & Aleš Leonardis. (2009). Online kernel density estimation for interactive learning. Image and Vision Computing. 28(7). 1106–1116. 29 indexed citations
18.
Perše, Matej, et al.. (2008). AN ANALYSIS OF BASKETBALL PLAYERS' MOVEMENTS IN THE SLOVENIAN BASKETBALL LEAGUE PLAY-OFFS USING THE SAGIT TRACKING SYSTEM. 22 indexed citations
19.
Perš, Janez, et al.. (2004). Observing Human Motion Using Far-Infrared (FLIR) Camera - Some Preliminary Studies. 2 indexed citations
20.
Klančar, Gregor, et al.. (2004). Robust and efficient vision system for group of cooperating mobile robots with application to soccer robots. ISA Transactions. 43(3). 329–342. 12 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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