Andreas Pfadler

696 citations
24 papers · 389 · h-index 9

Impact in

Papers in

Andreas Pfadler

22 papers receiving 381 citations

Peers

Andreas Pfadler
Comparison fields: 5 of 53
  • Signal Processing 86
  • Computer Vision and Pattern Recognition 100
  • Information Systems 107
  • Artificial Intelligence 144
  • Computer Networks and Communications 93
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Duc-Hung Le Vietnam
Harsha Vardhan Simhadri United States
Shangwei Guo China
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Pfadler

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Pfadler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019123
2 202154
3 202146
4 202333
5 202021
6 200919
7 202218
8 202015
9 202213
10 20218
11 20208
12 20215
13 20215
14 20184
15 20234
16
Pulse-Shaped OTFS for V2X Short-Frame Communication with Tuned One-Tap Equalization.
20203
17 20223
18
La gare de Strasbourg
20082
19
Learning Efficient Parameter Server Synchronization Policies for Distributed SGD
20202
20 20221

About Andreas Pfadler

Andreas Pfadler is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Control and Systems Engineering and Information Systems, having authored 24 papers that have together received 389 indexed citations. Recurring topics across this work include PAPR reduction in OFDM (7 papers), Advanced MIMO Systems Optimization (5 papers), Millimeter-Wave Propagation and Modeling (4 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers), Optical Network Technologies (3 papers), Power Line Communications and Noise (3 papers), Advanced Database Systems and Queries (2 papers) and Advanced Fiber Optic Sensors (2 papers). The work is most often cited by research in Signal Processing (86 citations), Computer Vision and Pattern Recognition (100 citations), Information Systems (107 citations), Artificial Intelligence (144 citations) and Computer Networks and Communications (93 citations). Andreas Pfadler has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Zi‐Niu Wu, Rong Zhu, Pipei Huang, Jingren Zhou, Huan Zhao, Peter Jung, Wen Chen, Jiaming Xu, Xin Guo and Chao Li. Their work appears in journals such as Proceedings of the VLDB Endowment, Vehicular Communications, IEEE Wireless Communications Letters, Experimental Mathematics and IEEE Transactions on Wireless Communications.

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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