Ryan Gerdes

1.5k citations
62 papers · 881 · h-index 15

Impact in

Papers in

Ryan Gerdes

59 papers receiving 851 citations

Peers

Ryan Gerdes
Comparison fields: 5 of 58
  • Hardware and Architecture 118
  • Automotive Engineering 199
  • Signal Processing 139
  • Control and Systems Engineering 269
  • Artificial Intelligence 324
Replace Kyong-Tak Cho with:
Kyong-Tak Cho United States
André Weimerskirch United States
Jonathan Woodruff United Kingdom
Hyogon Kim South Korea
Santiago Sánchez-Solano Spain
Shinichi Shiraishi United States
Jonathan Petit Netherlands
Guozhen Tan China
‪Mahmood A. Al-Shareeda‬‏ Malaysia
Ryan Gerdes relative to Kyong-Tak Cho United States Kyong-Tak Cho's profile →
Citations per field
00.5×3.3×
Kyong-Tak Cho · 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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201595
2
Device Identification via Analog Signal Fingerprinting: A Matched Filter Approach
200673
3 201853
4 201852
5 201951
6 201949
7 201749
8 201348
9 202039
10 201230
11 202125
12 201921
13 201520
14 202020
15 201715
16 201913
17 201913
18 201811
19 201810
20 201510

About Ryan Gerdes

Ryan Gerdes is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Hardware and Architecture, Automotive Engineering and Control and Systems Engineering, having authored 62 papers that have together received 881 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (21 papers), Autonomous Vehicle Technology and Safety (13 papers), Physical Unclonable Functions (PUFs) and Hardware Security (8 papers), Traffic control and management (8 papers), Adversarial Robustness in Machine Learning (7 papers), Cryptographic Implementations and Security (7 papers), Security and Verification in Computing (7 papers) and Smart Grid Security and Resilience (6 papers). The work is most often cited by research in Hardware and Architecture (118 citations), Automotive Engineering (199 citations), Signal Processing (139 citations), Control and Systems Engineering (269 citations) and Artificial Intelligence (324 citations). Ryan Gerdes has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Rajnikant Sharma, Mani Mina, Soodeh Dadras, Ming Li, Kevin Heaslip, Thomas E. Daniels, Thidapat Chantem, Ming Li, Chris Winstead and Alan J. Michaels. Their work appears in journals such as IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Vehicular Technology, Journal of Occupational Rehabilitation, Human Factors The Journal of the Human Factors and Ergonomics Society 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.

Explore authors with similar magnitude of impact