Marcus Baum
Impact in
- Artificial Intelligence top 1%
- Target Tracking and Data Fusion in Sensor Networks
- Gaussian Processes and Bayesian Inference
- Aerospace Engineering top 1%
- Infrared Target Detection Methodologies
- Robotics and Sensor-Based Localization
Papers in
-
- Target Tracking and Data Fusion in Sensor Networks 75
- Gaussian Processes and Bayesian Inference 21
- Anomaly Detection Techniques and Applications 13
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- Robotics and Sensor-Based Localization 24
- Co-authors
- Uwe D. Hanebeck (49 shared papers)Shishan Yang (11 shared papers)Karl Granström (2 shared papers)Stephan Reuter (1 shared paper)Peter Willett (18 shared papers)Benjamin Noack (9 shared papers)Frank J. Heymann (5 shared papers)Antonio Zea (7 shared papers)
- Journals
- IEEE Transactions on Aerospace and Electronic Systems (4 papers)IEEE Transactions on Signal Processing (3 papers)Sensors (2 papers)IEEE Transactions on Industrial Informatics (1 paper)Electronics Letters (1 paper)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Marcus Baum
113 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 1.4k
- Aerospace Engineering 802
- Instrumentation 91
- Computer Vision and Pattern Recognition 394
- Signal Processing 120
Countries citing papers authored by Marcus Baum
This map shows the geographic impact of Marcus Baum'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 Marcus Baum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Baum more than expected).
Fields of papers citing papers by Marcus Baum
This network shows the impact of papers produced by Marcus Baum. 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 Marcus Baum. The network helps show where Marcus Baum may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcus Baum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 217 | |
| 2 | 2016 | 191 | |
| 3 | 2011 | 164 | |
| 4 | 2009 | 147 | |
| 5 | 2019 | 105 | |
| 6 | 2016 | 88 | |
| 7 | 2017 | 62 | |
| 8 | 2010 | 40 | |
| 9 | 2018 | 39 | |
| 10 | Modeling the target extent with multiplicative noise | 2012 | 33 |
| 11 | 2018 | 30 | |
| 12 | Tracking 3D shapes in noisy point clouds with Random Hypersurface Models | 2012 | 28 |
| 13 | 2016 | 27 | |
| 14 | 2018 | 25 | |
| 15 | 2021 | 24 | |
| 16 | 2019 | 23 | |
| 17 | 2009 | 22 | |
| 18 | 2015 | 21 | |
| 19 | 2010 | 19 | |
| 20 | 2020 | 18 |
About Marcus Baum
Marcus Baum is a scholar working on Artificial Intelligence, Aerospace Engineering, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 122 papers that have together received 1.9k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (75 papers), Robotics and Sensor-Based Localization (24 papers), Gaussian Processes and Bayesian Inference (21 papers), Distributed Sensor Networks and Detection Algorithms (13 papers), Anomaly Detection Techniques and Applications (13 papers), Image and Object Detection Techniques (13 papers), Video Surveillance and Tracking Methods (12 papers) and Fault Detection and Control Systems (11 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Aerospace Engineering (802 citations), Instrumentation (91 citations), Computer Vision and Pattern Recognition (394 citations) and Signal Processing (120 citations). Marcus Baum has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Uwe D. Hanebeck, Shishan Yang, Karl Granström, Stephan Reuter, Peter Willett, Benjamin Noack, Frank J. Heymann, Antonio Zea, Michael Feldmann and Wolfgang Koch. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Signal Processing, Sensors, IEEE Transactions on Industrial Informatics and Electronics Letters.
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.