Ryan Gerdes

1.5k citations
77 papers · 1.1k · h-index 17

Impact in

Papers in

Ryan Gerdes

68 papers receiving 1.0k citations

Peers

Ryan Gerdes
Comparison fields: 5 of 69
  • Hardware and Architecture 171
  • Automotive Engineering 224
  • Signal Processing 172
  • Control and Systems Engineering 312
  • Artificial Intelligence 389
Replace Yasser Shoukry with:
Yasser Shoukry United States
André Weimerskirch Germany
Zhaojun Lu China
Santiago Sánchez-Solano Spain
Paul D. Martin United States
Todd R. Andel United States
Jonathan Petit Netherlands
Hyogon Kim South Korea
Po‐Ching Lin Taiwan
Dr. Mahmood A. Al-Shareeda Iraq
Ryan Gerdes relative to Yasser Shoukry United States Yasser Shoukry's profile →
Citations per field
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Yasser Shoukry · 1×
Citations per year

Countries citing papers authored by Ryan Gerdes

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Gerdes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015105
2
Device Identification via Analog Signal Fingerprinting: A Matched Filter Approach
200679
3 201863
4 201858
5 201957
6 201956
7 201754
8 201352
9 201241
10 202041
11 202129
12 202026
13 202025
14 202125
15 201924
16 201522
17 201718
18 201916
19 201814
20 201913

About Ryan Gerdes

Ryan Gerdes is a scholar working on Hardware and Architecture, Artificial Intelligence, Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (23 papers), Autonomous Vehicle Technology and Safety (14 papers), Physical Unclonable Functions (PUFs) and Hardware Security (12 papers), Adversarial Robustness in Machine Learning (11 papers), Cryptographic Implementations and Security (10 papers), Traffic control and management (9 papers), Electrostatic Discharge in Electronics (8 papers) and Smart Grid Security and Resilience (7 papers). The work is most often cited by research in Hardware and Architecture (171 citations), Automotive Engineering (224 citations), Signal Processing (172 citations), Control and Systems Engineering (312 citations) and Artificial Intelligence (389 citations). Ryan Gerdes has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Rajnikant Sharma, Mani Mina, Soodeh Dadras, Ming Li, Kevin P. Heaslip, Thomas E. Daniels, Thidapat Chantem, Ming Li, Chris Winstead and Alan J. Michaels. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Vehicles, Sensors, IEEE Transactions on Information Forensics and Security and IEEE Intelligent Transportation Systems Magazine.

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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