Benjamin Noack

1.3k total citations
100 papers, 1.0k citations indexed

About

Benjamin Noack is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Benjamin Noack has authored 100 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 52 papers in Computer Networks and Communications and 42 papers in Control and Systems Engineering. Recurrent topics in Benjamin Noack's work include Target Tracking and Data Fusion in Sensor Networks (58 papers), Distributed Sensor Networks and Detection Algorithms (46 papers) and Fault Detection and Control Systems (29 papers). Benjamin Noack is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (58 papers), Distributed Sensor Networks and Detection Algorithms (46 papers) and Fault Detection and Control Systems (29 papers). Benjamin Noack collaborates with scholars based in Germany, Netherlands and United States. Benjamin Noack's co-authors include Uwe D. Hanebeck, Marc Reinhardt, Joris Sijs, Florian Pfaff, P.O. Arambel, Marcus Baum, Thomas Längle, Jürgen Beyerer, Harald Kruggel‐Emden and Georg Maier and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Industrial Electronics.

In The Last Decade

Benjamin Noack

90 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benjamin Noack Germany 17 760 524 394 162 130 100 1.0k
Quanbo Ge China 16 462 0.6× 252 0.5× 357 0.9× 219 1.4× 270 2.1× 91 920
X.R. Li United States 14 895 1.2× 555 1.1× 527 1.3× 237 1.5× 127 1.0× 30 1.1k
Hang Geng China 21 527 0.7× 574 1.1× 669 1.7× 104 0.6× 144 1.1× 40 1.1k
X Rong Li United States 6 953 1.3× 236 0.5× 436 1.1× 409 2.5× 109 0.8× 10 1.1k
S. Challa Australia 16 650 0.9× 256 0.5× 223 0.6× 267 1.6× 123 0.9× 48 901
João Y. Ishihara Brazil 19 420 0.6× 229 0.4× 1.2k 3.0× 293 1.8× 117 0.9× 118 1.6k
Martin E. Liggins United States 6 499 0.7× 321 0.6× 193 0.5× 144 0.9× 86 0.7× 18 738
Hélène Piet-Lahanier France 19 293 0.4× 221 0.4× 1.4k 3.6× 368 2.3× 71 0.5× 104 1.9k
Fucai Liu China 16 231 0.3× 251 0.5× 617 1.6× 59 0.4× 138 1.1× 116 949
Takehisa Yairi Japan 8 811 1.1× 396 0.8× 278 0.7× 54 0.3× 71 0.5× 19 1.1k

Countries citing papers authored by Benjamin Noack

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Noack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Noack

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Noack. A scholar is included among the top collaborators of Benjamin Noack 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 Benjamin Noack. Benjamin Noack 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.
Kück, Mirko, et al.. (2025). A multimodal dataset for process monitoring and anomaly detection in industrial CNC milling. Data in Brief. 63. 112207–112207.
2.
Notni, Gunther, Alexander Hasse, Benjamin Noack, et al.. (2023). Productive teaming under uncertainty: when a human and a machine classify objects together. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 6. 9–14. 1 indexed citations
3.
Noack, Benjamin, et al.. (2023). Discriminative feature learning through feature distance loss. Machine Vision and Applications. 34(2). 1 indexed citations
4.
Noack, Benjamin, et al.. (2021). Conservative Quantization of Covariance Matrices with Applications to Decentralized Information Fusion. Sensors. 21(9). 3059–3059. 5 indexed citations
5.
Noack, Benjamin, et al.. (2019). Distributed Estimation with Unequal State Vectors using Deterministic Sample-based Fusion. 1 indexed citations
6.
Noack, Benjamin, et al.. (2019). Distributed Estimation using Square Root Decompositions of Dependent Information. 1–8. 5 indexed citations
7.
Noack, Benjamin, et al.. (2017). State estimation in networked control systems with delayed and lossy acknowledgments. 435–441. 3 indexed citations
8.
Noack, Benjamin, Florian Pfaff, Marcus Baum, & Uwe D. Hanebeck. (2016). State estimation considering negative information with switching Kalman and ellipsoidal filtering. Repository KITopen (Karlsruhe Institute of Technology). 1945–1952. 4 indexed citations
9.
Noack, Benjamin, et al.. (2016). Optimal sample-based fusion for distributed state estimation. Repository KITopen (Karlsruhe Institute of Technology). 1600–1607. 22 indexed citations
10.
Noack, Benjamin, Joris Sijs, Marc Reinhardt, & Uwe D. Hanebeck. (2015). Treatment of Dependent Information in Multisensor Kalman Filtering and Data Fusion. Repository KITopen (Karlsruhe Institute of Technology). 13 indexed citations
11.
Noack, Benjamin, Simon Julier, & Uwe D. Hanebeck. (2015). Treatment of Biased and Dependent Sensor Data in Graph-based SLAM. Repository KITopen (Karlsruhe Institute of Technology). 1862–1867. 8 indexed citations
12.
Noack, Benjamin, Marc Reinhardt, & Uwe D. Hanebeck. (2014). On nonlinear track-to-track fusion with Gaussian mixtures. International Conference on Information Fusion. 1–8. 7 indexed citations
13.
Reinhardt, Marc, Benjamin Noack, Sanjeev Kulkarni, & Uwe D. Hanebeck. (2014). Distributed Kalman filtering in the presence of packet delays and losses. Repository KITopen (Karlsruhe Institute of Technology). 1–7. 1 indexed citations
14.
Reinhardt, Marc, Benjamin Noack, & Uwe D. Hanebeck. (2013). Advances in hypothesizing distributed Kalman filtering. International Conference on Information Fusion. 77–84. 14 indexed citations
15.
Noack, Benjamin, Simon Julier, Marc Reinhardt, & Uwe D. Hanebeck. (2013). Nonlinear federated filtering. UCL Discovery (University College London). 350–356. 4 indexed citations
16.
Pfaff, Florian, Benjamin Noack, & Uwe D. Hanebeck. (2013). Data validation in the presence of stochastic and set-membership uncertainties. International Conference on Information Fusion. 2125–2132. 3 indexed citations
17.
Noack, Benjamin, Florian Pfaff, & Uwe D. Hanebeck. (2012). Combined stochastic and set-membership information filtering in multisensor systems. International Conference on Information Fusion. 1218–1224. 7 indexed citations
18.
Reinhardt, Marc, Benjamin Noack, & Uwe D. Hanebeck. (2012). On optimal distributed Kalman filtering in non-ideal situations. International Conference on Information Fusion. 1020–1027. 9 indexed citations
19.
Reinhardt, Marc, Benjamin Noack, & Uwe D. Hanebeck. (2012). Closed-form optimization of covariance intersection for low-dimensional matrices. International Conference on Information Fusion. 1891–1896. 23 indexed citations
20.
Benavoli, Alessio & Benjamin Noack. (2012). Pushing Kalman’s Idea to the Extremes. Repository KITopen (Karlsruhe Institute of Technology). 1202–1209. 3 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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