Ryan Hamilton
Impact in
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- Network Traffic and Congestion Control
- Software-Defined Networks and 5G
- Caching and Content Delivery
- Network Security and Intrusion Detection
- Wireless Networks and Protocols
- General Decision Sciences top 10%
Papers in
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- Decision-Making and Behavioral Economics 2
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- Consumer Behavior in Brand Consumption and Identification 2
- Co-authors
- Ian Swett (1 shared paper)Kathleen D. Vohs (1 shared paper)Ann L. McGill (1 shared paper)Jiewen Hong (1 shared paper)Alexander Chernev (1 shared paper)Dirk Balfanz (1 shared paper)Colin N. Shaw (1 shared paper)Uma R. Karmarkar (1 shared paper)
- Journals
- Journal of Consumer Research (2 papers)Palgrave Macmillan UK eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
Ryan Hamilton
7 papers receiving 779 citations
Ryan Hamilton's Hit Papers
Peers
Comparison fields: 5 of 53
- Computer Networks and Communications 585
- General Decision Sciences 26
- Signal Processing 80
- Computer Vision and Pattern Recognition 144
- Marketing 45
Countries citing papers authored by Ryan Hamilton
This map shows the geographic impact of Ryan Hamilton'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 Hamilton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Hamilton more than expected).
Fields of papers citing papers by Ryan Hamilton
This network shows the impact of papers produced by Ryan Hamilton. 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 Hamilton. The network helps show where Ryan Hamilton may publish in the future.
Co-authors
The 8 scholars most cited alongside Ryan Hamilton, 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 | The QUIC Transport Protocol Hit paper breakdown → | 2017 | 605 |
| 2 | QUIC: A UDP-Based Secure and Reliable Transport for HTTP/2 | 2016 | 82 |
| 3 | 2014 | 56 | |
| 4 | 2007 | 43 | |
| 5 | Transport Layer Security (TLS) Channel IDs | 2013 | 14 |
| 6 | Using Transport Layer Security (TLS) to Secure QUIC | 2016 | 6 |
| 7 | 2016 | 3 | |
| 8 | The 4 Minds of the Customer: A Framework for Understanding and Applying the Science of Decision Making | 2017 | 1 |
About Ryan Hamilton
Ryan Hamilton is a scholar working on General Decision Sciences, Marketing, Computer Networks and Communications, Information Systems and Management and Management Information Systems, having authored 8 papers that have together received 810 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (2 papers), Consumer Behavior in Brand Consumption and Identification (2 papers), Network Traffic and Congestion Control (2 papers), IPv6, Mobility, Handover, Networks, Security (2 papers), Psychology of Social Influence (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper), Psychology of Moral and Emotional Judgment (1 paper) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Computer Networks and Communications (585 citations), General Decision Sciences (26 citations), Signal Processing (80 citations), Computer Vision and Pattern Recognition (144 citations) and Marketing (45 citations). Ryan Hamilton has collaborated with scholars based in United States. Frequent co-authors include Ian Swett, Kathleen D. Vohs, Ann L. McGill, Jiewen Hong, Alexander Chernev, Dirk Balfanz, Colin N. Shaw and Uma R. Karmarkar. Their work appears in journals such as Journal of Consumer Research and Palgrave Macmillan UK eBooks.
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.