Kyle Hogan
Impact in
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Artificial Intelligence top 10%
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
- Privacy-Preserving Technologies in Data
- Security and Verification in Computing
Papers in
-
- Security and Verification in Computing 5
- Cryptography and Data Security 2
- Internet Traffic Analysis and Secure E-voting 2
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- Distributed systems and fault tolerance 2
- Co-authors
- Nicolas Christin (1 shared paper)Malte Möser (1 shared paper)Jason Hennessey (2 shared papers)Andrew Miller (1 shared paper)Kyle Soska (1 shared paper)Ethan Heilman (1 shared paper)Srinivas Devadas (3 shared papers)Ilya Lebedev (2 shared papers)
- Journals
- Value in Health (1 paper)Lecture notes in computer science (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
- Partner nations
- United StatesSwitzerlandIsrael
In The Last Decade
Kyle Hogan
9 papers receiving 260 citations
Peers
Comparison fields: 5 of 50
- Information Systems 173
- Artificial Intelligence 143
- Hardware and Architecture 18
- Computer Networks and Communications 52
- Signal Processing 23
Countries citing papers authored by Kyle Hogan
This map shows the geographic impact of Kyle Hogan'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 Kyle Hogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Hogan more than expected).
Fields of papers citing papers by Kyle Hogan
This network shows the impact of papers produced by Kyle Hogan. 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 Kyle Hogan. The network helps show where Kyle Hogan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle Hogan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 178 | |
| 2 | 2017 | 37 | |
| 3 | 2018 | 23 | |
| 4 | 2017 | 10 | |
| 5 | 2016 | 8 | |
| 6 | 2022 | 7 | |
| 7 | 2019 | 6 | |
| 8 | 2018 | 3 | |
| 9 | 2016 | 1 |
About Kyle Hogan
Kyle Hogan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems and Electrical and Electronic Engineering, having authored 9 papers that have together received 273 indexed citations. Recurring topics across this work include Security and Verification in Computing (5 papers), Physical Unclonable Functions (PUFs) and Hardware Security (3 papers), Cryptography and Data Security (2 papers), Distributed systems and fault tolerance (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Advanced Memory and Neural Computing (2 papers), Cybercrime and Law Enforcement Studies (1 paper) and Cloud Data Security Solutions (1 paper). The work is most often cited by research in Information Systems (173 citations), Artificial Intelligence (143 citations), Hardware and Architecture (18 citations), Computer Networks and Communications (52 citations) and Signal Processing (23 citations). Kyle Hogan has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Nicolas Christin, Malte Möser, Jason Hennessey, Andrew Miller, Kyle Soska, Ethan Heilman, Srinivas Devadas, Ilya Lebedev, Ran Canetti and Mayank Varia. Their work appears in journals such as Value in Health, Lecture notes in computer science, DSpace@MIT (Massachusetts Institute of Technology) and DOAJ (DOAJ: Directory of Open Access Journals).
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.