Patrick Pfaff

24 papers receiving 1.3k citations

Peers

Patrick Pfaff
Comparison fields: 5 of 103
  • Aerospace Engineering 713
  • Computer Vision and Pattern Recognition 545
  • Geology 145
  • Environmental Engineering 148
  • Artificial Intelligence 259
Replace Alexander Kleiner with:
Alexander Kleiner Germany
Daxue Liu China
Lan Xu China
Feihu Zhang China
Jianren Wang United States
Rubén Martínez-Cantín Spain
Li Liu China
Hao Zhao China
Yoshitaka Ushiku Japan
Florian Shkurti Canada
Patrick Pfaff relative to Alexander Kleiner Germany Alexander Kleiner's profile →
Citations per field
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Citations per year

Countries citing papers authored by Patrick Pfaff

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Pfaff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006254
2 2019232
3 2007188
4 2007121
5 2007108
6 201299
7 201662
8 200560
9 200857
10 202143
11 200735
12 200733
13 202126
14 200618
15 200715
16 200814
17 200710
18 20198
19
Heteroscedastic Gaussian Process Regression for Modeling Range Sensors in Mobile Robotics
20056
20 20084

About Patrick Pfaff

Patrick Pfaff is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (15 papers), Robotic Path Planning Algorithms (7 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Gaussian Processes and Bayesian Inference (4 papers), Indoor and Outdoor Localization Technologies (4 papers), Data Management and Algorithms (3 papers), Photochromic and Fluorescence Chemistry (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Aerospace Engineering (713 citations), Computer Vision and Pattern Recognition (545 citations), Geology (145 citations), Environmental Engineering (148 citations) and Artificial Intelligence (259 citations). Patrick Pfaff has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Wolfram Burgard, Rudolph Triebel, Erick M. Carreira, Christian Plagemann, Kusal T. G. Samarasinghe, Craig M. Crews, Cyrill Stachniss, Kristian Kersting, Christoph Sprunk and Giorgio Grisetti. Their work appears in journals such as Journal of the American Chemical Society, Journal of Field Robotics, European Journal of Organic Chemistry, Science and ACS Central Science.

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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