Florian Pfaff

1.1k citations
79 papers · 850 · h-index 15

Impact in

Papers in

    • Target Tracking and Data Fusion in Sensor Networks 30
    • Gaussian Processes and Bayesian Inference 7
    • Inertial Sensor and Navigation 11
    • Robotics and Sensor-Based Localization 11

Florian Pfaff

75 papers receiving 817 citations

Peers

Florian Pfaff
Comparison fields: 5 of 70
  • Electronic, Optical and Magnetic Materials 220
  • Materials Chemistry 367
  • Condensed Matter Physics 79
  • Artificial Intelligence 212
  • Computer Vision and Pattern Recognition 97
Replace Zhi Gao Huang with:
Zhi Gao Huang China
Dongmei Wu China
Chunlin Ji China
Kai Jiang China
Jan Zeman Czechia
Kazuhisa Chiba Japan
Samanta Piano United Kingdom
Yuqing He China
Zhanqing Yu China
P. Moreno Mexico
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Florian Pfaff

Since Specialization
Citations

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

Fields of papers citing papers by Florian Pfaff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Florian Pfaff, 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 Florian Pfaff Line = papers co-authored together Florian Pfaff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1957137
2 201452
3 201345
4 201733
5 201532
6 201031
7 201529
8 201228
9 202020
10 201619
11 201919
12 201818
13 202016
14 201516
15 201514
16 201813
17 201513
18 201813
19 201912
20 201912

About Florian Pfaff

Florian Pfaff is a scholar working on Artificial Intelligence, Aerospace Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and Materials Chemistry, having authored 79 papers that have together received 850 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (30 papers), Inertial Sensor and Navigation (11 papers), Electronic and Structural Properties of Oxides (11 papers), Robotics and Sensor-Based Localization (11 papers), Mineral Processing and Grinding (10 papers), Magnetic and transport properties of perovskites and related materials (9 papers), Fault Detection and Control Systems (7 papers) and Gaussian Processes and Bayesian Inference (7 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (220 citations), Materials Chemistry (367 citations), Condensed Matter Physics (79 citations), Artificial Intelligence (212 citations) and Computer Vision and Pattern Recognition (97 citations). Florian Pfaff has collaborated with scholars based in Germany, Japan and Switzerland. Frequent co-authors include Uwe D. Hanebeck, A. Seeger, Kailai Li, Benjamin Noack, R. Claessen, M. Sing, Gerhard Kurz, Thomas Längle, Robin Gruna and Jürgen Beyerer. Their work appears in journals such as Physical Review B, Powder Technology, Applied Physics Letters, IEEE Transactions on Industrial Informatics and Physical review. B..

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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