Travis Meade

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

Impact in

Papers in

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:
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Citations per field
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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-authors

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

About Travis Meade

Travis Meade is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Artificial Intelligence, Cellular and Molecular Neuroscience 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), Neuroscience and Neural Engineering (3 papers), Advanced Malware Detection Techniques (3 papers), VLSI and Analog Circuit Testing (3 papers), Security and Verification in Computing (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Hardware and Architecture (687 citations), Cellular and Molecular Neuroscience (273 citations), Electrical and Electronic Engineering (622 citations), Signal Processing (95 citations) and Artificial Intelligence (239 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 IEEE Transactions on Information Forensics and Security, ACM Transactions on Design Automation of Electronic Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 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.

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