Benjamin Noack

1.3k citations
100 papers · 1.0k indexed · h-index 17

Benjamin Noack

90 papers receiving 1.0k citations

Peers

Benjamin Noack
Comparison fields: 5 of 62
  • Artificial Intelligence 760
  • Computer Networks and Communications 524
  • Control and Systems Engineering 394
  • Aerospace Engineering 162
  • Statistics and Probability 40
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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

The 25 scholars most cited alongside Benjamin Noack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin Noack Line = papers co-authored together Benjamin Noack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 20231
4 20215
5
Distributed Estimation with Unequal State Vectors using Deterministic Sample-based Fusion
20191
6 20195
7 20173
8 20164
9 201622
10 201513
11 20158
12
On nonlinear track-to-track fusion with Gaussian mixtures
20147
13 20141
14
Advances in hypothesizing distributed Kalman filtering
201314
15
Nonlinear federated filtering
20134
16
Data validation in the presence of stochastic and set-membership uncertainties
20133
17
Combined stochastic and set-membership information filtering in multisensor systems
20127
18
On optimal distributed Kalman filtering in non-ideal situations
20129
19
Closed-form optimization of covariance intersection for low-dimensional matrices
201223
20 20123

About Benjamin Noack

Benjamin Noack is a scholar working on Computer Networks and Communications, Artificial Intelligence, Control and Systems Engineering, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 100 papers that have together received 1.0k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (58 papers), Distributed Sensor Networks and Detection Algorithms (46 papers), Fault Detection and Control Systems (29 papers), Robotics and Sensor-Based Localization (10 papers), Indoor and Outdoor Localization Technologies (8 papers), Stability and Control of Uncertain Systems (8 papers), Mineral Processing and Grinding (7 papers) and Advanced Control Systems Optimization (7 papers). The work is most often cited by research in Artificial Intelligence (760 citations), Computer Networks and Communications (524 citations), Control and Systems Engineering (394 citations), Aerospace Engineering (162 citations) and Statistics and Probability (40 citations). Benjamin Noack has collaborated with scholars based in Germany, Netherlands and United States. Frequent 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. Their work appears in journals such as IEEE Control Systems Letters, Powder Technology, Sensors, Automatica and IEEE Signal Processing 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.

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