Adam Hess

401 citations
7 papers · 232 · h-index 5

Impact in

    • Cloud Data Security Solutions
    • Service-Oriented Architecture and Web Services
    • Cryptography and Data Security
    • Privacy-Preserving Technologies in Data
    • Internet Traffic Analysis and Secure E-voting
    • Security and Verification in Computing

Papers in

Adam Hess

7 papers receiving 208 citations

Peers

Adam Hess
Comparison fields: 5 of 17
  • Information Systems 112
  • Artificial Intelligence 155
  • Sociology and Political Science 190
  • Computer Networks and Communications 79
  • Management of Technology and Innovation 6
Replace Ryan Jarvis with:
Ryan Jarvis United States
Paul Ashley Australia
Walt Yao United Kingdom
Aliaksandr Lazouski Italy
Abdelmalek Benzekri France
Pete Bramhall United States
Dieter Sommer Switzerland
Laurent Bussard Germany
John DeTreville United States
Amirreza Masoumzadeh United States
Adam Hess relative to Ryan Jarvis United States Ryan Jarvis's profile →
Citations per field
00.5×1.5×
Ryan Jarvis · 1×
Citations per year

Countries citing papers authored by Adam Hess

Since Specialization
Citations

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

Fields of papers citing papers by Adam Hess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Adam Hess, 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 Adam Hess Line = papers co-authored together Adam Hess links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2002156
2
Advanced Client/Server Authentication in TLS.
200245
3 200413
4 200410
5 20034
6
A dynamic and flexible Access Control and Resource Monitoring Mechanism for Active Nodes
20022
7 20042

About Adam Hess

Adam Hess is a scholar working on Sociology and Political Science, Artificial Intelligence, Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering, having authored 7 papers that have together received 232 indexed citations. Recurring topics across this work include Access Control and Trust (6 papers), Cryptography and Data Security (3 papers), Cloud Data Security Solutions (3 papers), IPv6, Mobility, Handover, Networks, Security (3 papers), Mobile Agent-Based Network Management (2 papers), Caching and Content Delivery (1 paper), Security and Verification in Computing (1 paper) and Network Packet Processing and Optimization (1 paper). The work is most often cited by research in Information Systems (112 citations), Artificial Intelligence (155 citations), Sociology and Political Science (190 citations), Computer Networks and Communications (79 citations) and Management of Technology and Innovation (6 citations). Adam Hess has collaborated with scholars based in United States. Frequent co-authors include Kent Seamons, B. Smith, Marianne Winslett, Ryan Jarvis, Ting Yu, Lina Yu, Jason E. Holt, Tat Y. Chan, Martina Zitterbart and Marcus Schöller. Their work appears in journals such as IEEE Internet Computing, ACM Transactions on Information and System Security and Network and Distributed System Security Symposium.

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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