Matej Kristan
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 1%
- Aerospace Engineering top 1%
- Ocean Engineering top 1%
- Safety, Risk, Reliability and Quality top 1%
- Co-authors
- Danijel SkočajLuka Čehovin ZajcVitjan ZavrtanikAleš LeonardisJiřı́ MatasJanez PeršAlan LukežičStanislav Kovačič
- Topics
- Video Surveillance and Tracking Methods (30 papers)Robotics and Sensor-Based Localization (15 papers)Advanced Image and Video Retrieval Techniques (14 papers)
- Cited by
- Computer Vision and Pattern RecognitionSafety, Risk, Reliability and QualityArtificial Intelligence
- Partner nations
- SloveniaUnited KingdomCzechia
In The Last Decade
Matej Kristan
85 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Computer Vision and Pattern Recognition 2.5k
- Artificial Intelligence 1.1k
- Aerospace Engineering 741
- Ocean Engineering 410
- Safety, Risk, Reliability and Quality 355
Countries citing papers authored by Matej Kristan
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detectionbreakdown → | 447 |
| 10 | 17 | |
| 11 | 16 | |
| 12 | 24 | |
| 13 | 14 | |
| 14 | A Novel Performance Evaluation Methodology for Single-Target Trackersbreakdown → | 385 |
| 15 | 13 | |
| 16 | 47 | |
| 17 | 29 | |
| 18 | AN ANALYSIS OF BASKETBALL PLAYERS' MOVEMENTS IN THE SLOVENIAN BASKETBALL LEAGUE PLAY-OFFS USING THE SAGIT TRACKING SYSTEM | 22 |
| 19 | Observing Human Motion Using Far-Infrared (FLIR) Camera - Some Preliminary Studies | 2 |
| 20 | 12 |
About Matej Kristan
Matej Kristan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering, having authored 89 papers that have together received 4.0k indexed citations. Recurring topics across this 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). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Safety, Risk, Reliability and Quality (355 citations) and Artificial Intelligence (1.1k citations). Matej Kristan has collaborated with scholars based in Slovenia, United Kingdom and Czechia. Frequent 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. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and Pattern Recognition.
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.