Igor Gilitschenski
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- Advanced Image and Video Retrieval Techniques 12
- Advanced Vision and Imaging 10
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization 24
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety 17
- Geology top 5%
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- Target Tracking and Data Fusion in Sensor Networks 24
- Bayesian Methods and Mixture Models 10
- Gaussian Processes and Bayesian Inference 7
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- Indoor and Outdoor Localization Technologies 11
- Co-authors
- Uwe D. HanebeckRoland SiegwartGerhard KurzDaniela RusJuan NietoSertaç KaramanMarcin DymczykSimon Julier
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Igor Gilitschenski
81 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 695
- Aerospace Engineering 688
- Automotive Engineering 307
- Geology 125
- Computer Graphics and Computer-Aided Design 72
Countries citing papers authored by Igor Gilitschenski
This map shows the geographic impact of Igor Gilitschenski'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 Igor Gilitschenski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Gilitschenski more than expected).
Fields of papers citing papers by Igor Gilitschenski
This network shows the impact of papers produced by Igor Gilitschenski. 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 Igor Gilitschenski. The network helps show where Igor Gilitschenski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Igor Gilitschenski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 40 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 140 | |
| 9 | 2020 | 38 | |
| 10 | 2020 | 10 | |
| 11 | 2019 | 15 | |
| 12 | 2019 | 24 | |
| 13 | 2018 | 175 | |
| 14 | 2018 | 47 | |
| 15 | 2018 | 48 | |
| 16 | 2016 | 4 | |
| 17 | 2014 | 11 | |
| 18 | 2014 | 21 | |
| 19 | Bearings-only sensor scheduling using circular statistics | 2013 | 7 |
| 20 | A robust computational test for overlap of two arbitrary-dimensional ellipsoids in fault-detection of Kalman filters | 2012 | 6 |
About Igor Gilitschenski
Igor Gilitschenski is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 86 papers that have together received 1.6k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (24 papers), Robotics and Sensor-Based Localization (24 papers), Autonomous Vehicle Technology and Safety (17 papers), Advanced Image and Video Retrieval Techniques (12 papers), Indoor and Outdoor Localization Technologies (11 papers), Bayesian Methods and Mixture Models (10 papers), Advanced Vision and Imaging (10 papers) and Gaussian Processes and Bayesian Inference (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (695 citations), Aerospace Engineering (688 citations) and Automotive Engineering (307 citations). Igor Gilitschenski has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Uwe D. Hanebeck, Roland Siegwart, Gerhard Kurz, Daniela Rus, Juan Nieto, Sertaç Karaman, Marcin Dymczyk, Simon Julier, Marius Fehr and Alexander Amini.
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.