Matthew Hicks

1.7k total citations
41 papers, 1.2k citations indexed

About

Matthew Hicks is a scholar working on Hardware and Architecture, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Matthew Hicks has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Hardware and Architecture, 22 papers in Artificial Intelligence and 21 papers in Electrical and Electronic Engineering. Recurrent topics in Matthew Hicks's work include Security and Verification in Computing (18 papers), Physical Unclonable Functions (PUFs) and Hardware Security (13 papers) and Advanced Malware Detection Techniques (11 papers). Matthew Hicks is often cited by papers focused on Security and Verification in Computing (18 papers), Physical Unclonable Functions (PUFs) and Hardware Security (13 papers) and Advanced Malware Detection Techniques (11 papers). Matthew Hicks collaborates with scholars based in United States, Israel and Switzerland. Matthew Hicks's co-authors include Samuel T. King, Jonathan M. Smith, Todd Austin, Milo M. K. Martin, Cynthia Sturton, Kaiyuan Yang, Qing Dong, Dennis Sylvester, Pablo Montesinos and Josep Torrellas and has published in prestigious journals such as Communications of the ACM, ACM SIGPLAN Notices and IEEE Micro.

In The Last Decade

Matthew Hicks

37 papers receiving 1.1k citations

Peers

Countries citing papers authored by Matthew Hicks

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Hicks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Hicks

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Hicks. A scholar is included among the top collaborators of Matthew Hicks based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Hicks. Matthew Hicks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Bio-Inspired Goal-Directed Cognitive Map Model for Robot Navigation and Exploration 2025 ·IEEE Transactions on Cognitive and Developmental Systems ·Matthew Hicks, Tingjun Lei, Chaomin Luo, Daniel W. Carruth, Zhuming Bi	2
2	A Bio-Inspired Goal-Directed Cognitive Map Approach to Robot Navigation and Mapping 2025 ·Matthew Hicks, Tingjun Lei, Chaomin Luo, Lantao Liu, Zhuming Bi	0
3	A Survey of Prototyping Platforms for Intermittent Computing Research 2024 ·VTechWorks (Virginia Tech) ·(unknown), Matthew Hicks	0
4	Energy-Adaptive Buffering for Efficient, Responsive, and Persistent Batteryless Systems 2024 ·VTechWorks (Virginia Tech) ·(unknown), Matthew Hicks	2
5	UnTrustZone: Systematic Accelerated Aging to Expose On-chip Secrets 2024 ·(unknown), Matthew Hicks	2
6	Hitchhiker's Guide to Secure Checkpointing on Energy-Harvesting Systems 2023 ·(unknown), Matthew Hicks	0
7	Breaking Through Binaries: Compiler-quality Instrumentation for Better Binary-only Fuzzing 2021 ·USENIX Security Symposium ·(unknown), Anh Nguyen‐Tuong, Jason D. Hiser, Jack W. Davidson, Matthew Hicks	9
8	RingRAM: A Unified Hardware SecurityPrimitive for IoT Devices that Gets Better with Age 2021 ·Annual Computer Security Applications Conference ·(unknown), Matthew Hicks	0
9	Forget Failure 2020 ·(unknown), (unknown), Matthew Hicks	16
10	Clank 2017 ·ACM SIGARCH Computer Architecture News ·Matthew Hicks	26
11	Clank 2017 ·Matthew Hicks	82
12	SNIFFER: A high-accuracy malware detector for enterprise-based systems 2017 ·(unknown), (unknown), (unknown), Matthew Hicks, (unknown), Todd Austin, Valeria Bertacco	1
13	Intermittent computation without hardware support or programmer intervention 2016 ·Operating Systems Design and Implementation ·(unknown), Matthew Hicks	108
14	ANVIL 2016 ·(unknown), (unknown), Rui Qiao, Reetuparna Das, Matthew Hicks, Yossi Oren, Todd Austin	80
15	ANVIL 2016 ·ACM SIGARCH Computer Architecture News ·(unknown), (unknown), Rui Qiao, Reetuparna Das, Matthew Hicks, Yossi Oren, Todd Austin	2
16	Probable cause 2015 ·Amir Rahmati, Matthew Hicks, Daniel Holcomb, Kevin Fu	20
17	SPECS 2015 ·Matthew Hicks, Cynthia Sturton, Samuel T. King, Jonathan M. Smith	49
18	Probable cause 2015 ·ACM SIGARCH Computer Architecture News ·Amir Rahmati, Matthew Hicks, Daniel Holcomb, Kevin Fu	2
19	Capo 2009 ·ACM SIGPLAN Notices ·Pablo Montesinos, Matthew Hicks, Samuel T. King, Josep Torrellas	4
20	Effective Palliation of Advanced Cholangiocarcinoma with Sorafenib: a Two-Patient Case Report 2007 ·Journal of Gastrointestinal Cancer ·Renato V. LaRocca, Matthew Hicks, (unknown), (unknown)	14

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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