Erik Blasch
Impact in
- Media Technology top 0.1%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
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- Video Surveillance and Tracking Methods
- Image Enhancement Techniques
Papers in
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- Infrared Target Detection Methodologies 64
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- Target Tracking and Data Fusion in Sensor Networks 203
Erik Blasch
737 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Media Technology 1.7k
- Computer Vision and Pattern Recognition 3.7k
- Artificial Intelligence 5.6k
- Aerospace Engineering 4.2k
- Computer Networks and Communications 2.4k
Countries citing papers authored by Erik Blasch
This map shows the geographic impact of Erik Blasch'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 Erik Blasch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Blasch more than expected).
Fields of papers citing papers by Erik Blasch
This network shows the impact of papers produced by Erik Blasch. 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 Erik Blasch. The network helps show where Erik Blasch may publish in the future.
Co-authors
The 25 scholars most cited alongside Erik Blasch, 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 | 2024 | 5 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 6 | |
| 8 | 2021 | 0 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 5 | |
| 11 | 2020 | 1 | |
| 12 | 2017 | 8 | |
| 13 | A multilevel homotopy MCMC sequential Monte Carlo filter for multi-target tracking | 2016 | 1 |
| 14 | 2014 | 5 | |
| 15 | 2014 | 19 | |
| 16 | Comparison of adaptive and randomized unscented Kalman filter algorithms | 2014 | 9 |
| 17 | Revisiting the JDL model for information exploitation | 2013 | 89 |
| 18 | Assessing Terrestrial Wireless Communications and Broadcast Signals as Signals of Opportunity for Positioning and Navigation | 2012 | 8 |
| 19 | User information fusion decision making analysis with the C-OODA model | 2011 | 39 |
| 20 | Geometric factors in target positioning and tracking | 2009 | 12 |
About Erik Blasch
Erik Blasch is a scholar working on Aerospace Engineering, Artificial Intelligence, Media Technology, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 780 papers that have together received 13.1k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (203 papers), Infrared Target Detection Methodologies (64 papers), Video Surveillance and Tracking Methods (56 papers), Advanced Image Fusion Techniques (52 papers), Human-Automation Interaction and Safety (52 papers), Remote-Sensing Image Classification (50 papers), Distributed Sensor Networks and Detection Algorithms (42 papers) and Fault Detection and Control Systems (37 papers). The work is most often cited by research in Media Technology (1.7k citations), Computer Vision and Pattern Recognition (3.7k citations), Artificial Intelligence (5.6k citations), Aerospace Engineering (4.2k citations) and Computer Networks and Communications (2.4k citations). Erik Blasch has collaborated with scholars based in United States, Canada and Czechia. Frequent co-authors include Genshe Chen, Haibin Ling, Chun Yang, Dan Shen, Khanh Pham, Alexander Aved, Pengpeng Liang, Yu Chen, Yi Wu and Pierre Valin. Their work appears in journals such as IEEE Aerospace and Electronic Systems Magazine, Sensors, IEEE Transactions on Aerospace and Electronic Systems, Future Internet and IEEE Access.
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.