Ryan D. Riley

1.5k citations
33 papers · 1.2k · h-index 16

Impact in

Papers in

Ryan D. Riley

33 papers receiving 1.1k citations

Peers

Ryan D. Riley
Comparison fields: 5 of 28
  • Signal Processing 279
  • Artificial Intelligence 807
  • Information Systems 183
  • Computer Networks and Communications 86
  • Hardware and Architecture 22
Replace Tilo Müller with:
Tilo Müller Germany
Cullen Linn United States
Omar Alrawi United States
Xiaokui Shu United States
Alok Tongaonkar United States
Bruhadeshwar Bezawada United States
Kazuhide Fukushima Japan
Raphael Spreitzer Austria
Kristopher Micinski United States
Arvind Seshadri United States
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Citations per field
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Citations per year

Countries citing papers authored by Ryan D. Riley

Since Specialization
Citations

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

Fields of papers citing papers by Ryan D. Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan D. Riley. 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 D. Riley. The network helps show where Ryan D. Riley may publish in the future.

Co-authors

The 23 scholars most cited alongside Ryan D. Riley, 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 Ryan D. Riley Line = papers co-authored together Ryan D. Riley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008223
2 2018134
3 201692
4 201787
5 200977
6 200973
7 201864
8 201460
9 201658
10 200944
11 201041
12 201836
13 201027
14 201722
15 201417
16 201616
17 200713
18 201312
19 201612
20 202012

About Ryan D. Riley

Ryan D. Riley is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications and Computer Science Applications, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Security and Verification in Computing (18 papers), Advanced Malware Detection Techniques (8 papers), Distributed Control Multi-Agent Systems (3 papers), Distributed Sensor Networks and Detection Algorithms (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Web Application Security Vulnerabilities (2 papers), Educational Robotics and Engineering (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Signal Processing (279 citations), Artificial Intelligence (807 citations), Information Systems (183 citations), Computer Networks and Communications (86 citations) and Hardware and Architecture (22 citations). Ryan D. Riley has collaborated with scholars based in Qatar, United States and Türkiye. Frequent co-authors include Dongyan Xu, Xuxian Jiang, Dmitry Evtyushkin, Dmitry Ponomarev, Nael Abu‐Ghazaleh, Junghwan Rhee, Vaibhav Rastogi, Shahid Alam, Yan Chen and Zhengyang Qu. Their work appears in journals such as Computers & Security, IEEE Transactions on Dependable and Secure Computing, ACM SIGCOMM Computer Communication Review, IEEE Transactions on Mobile Computing and Computer Networks.

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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