Travis Meade

1.1k citations
19 papers · 738 indexed · h-index 12

Travis Meade

18 papers receiving 711 citations

Peers

Travis Meade
Comparison fields: 5 of 21
  • Hardware and Architecture 687
  • Cellular and Molecular Neuroscience 273
  • Electrical and Electronic Engineering 622
  • Signal Processing 95
  • Artificial Intelligence 239
Replace Kaveh Shamsi with:
Kaveh Shamsi United States
Youngok Pino United States
Sophie Dupuis France
Yang Xie United States
Abhrajit Sengupta United States
Reza Rad United States
Bodhisatwa Mazumdar India
Xinmu Wang United States
Lilas Alrahis United States
Bicky Shakya United States
Travis Meade relative to Kaveh Shamsi United States Kaveh Shamsi's profile →
Citations per field
00.5×1.5×
Kaveh Shamsi · 1×
Citations per year

Countries citing papers authored by Travis Meade

Since Specialization
Citations

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

Fields of papers citing papers by Travis Meade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Travis Meade, 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 Travis Meade Line = papers co-authored together Travis Meade links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20240
2
You Break I Fix: A Collaborative Approach for Strengthening Sequential Obfuscation of Hardware Intellectual Property
20201
3 202011
4 20191
5 201910
6 201845
7 201818
8 201818
9 201823
10 201753
11 2017109
12 201730
13 2017225
14 20179
15 201636
16 20168
17 201610
18 201650
19 201681

About Travis Meade

Travis Meade is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Signal Processing, having authored 19 papers that have together received 738 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (17 papers), Integrated Circuits and Semiconductor Failure Analysis (16 papers), Advanced Memory and Neural Computing (4 papers), Advanced Malware Detection Techniques (3 papers), VLSI and Analog Circuit Testing (3 papers), Neuroscience and Neural Engineering (3 papers), Adversarial Robustness in Machine Learning (2 papers) and Security and Verification in Computing (2 papers). The work is most often cited by research in Hardware and Architecture (687 citations), Cellular and Molecular Neuroscience (273 citations) and Electrical and Electronic Engineering (622 citations). Travis Meade has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Yier Jin, David Z. Pan, Zheng Zhao, Kaveh Shamsi, Meng Li, Shaojie Zhang, Bei Yu, Mark Tehranipoor, Dean Sullivan and Orlando Arias. Their work appears in journals such as ACM Transactions on Design Automation of Electronic Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Information Forensics and Security, Integration and Proceedings - International Symposium for Testing and Failure Analysis.

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

Rankless by CCL
2026