Ryan Sheatsley

550 citations
14 papers · 64 indexed · h-index 5

Impact in

Papers in

Ryan Sheatsley

12 papers receiving 59 citations

Peers

Ryan Sheatsley
Comparison fields: 5 of 17
  • Signal Processing 26
  • Computer Networks and Communications 36
  • Artificial Intelligence 29
  • Radiation 6
  • Information Systems 13
Replace Michael Sioutis with:
Michael Sioutis Germany
S. Vejcik United States
Mikal Ziane France
Daniele Moro Italy
А. А. Силаев Russia
Ravin Ahuja India
Maximillian Dornseif Germany
René Struik Netherlands
Mansoor Farooq India
Quynh Dang United States
Ryan Sheatsley relative to Michael Sioutis Germany Michael Sioutis's profile →
Citations per field
00.5×12×
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Citations per year

Countries citing papers authored by Ryan Sheatsley

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Sheatsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Ryan Sheatsley, 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 Sheatsley Line = papers co-authored together Ryan Sheatsley links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20250
2 20252
3 20240
4 20222
5 20227
6 202219
7 20227
8 20223
9 20217
10 20213
11 20191
12 20188
13
A Vision Toward an Internet of Battlefield Things (IoBT): Autonomous Classifying Sensor Network
20184
14 20171

About Ryan Sheatsley

Ryan Sheatsley is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Hardware and Architecture, having authored 14 papers that have together received 64 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (5 papers), Adversarial Robustness in Machine Learning (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Advanced Malware Detection Techniques (2 papers), Cryptography and Data Security (1 paper), Spam and Phishing Detection (1 paper), Advanced Steganography and Watermarking Techniques (1 paper) and User Authentication and Security Systems (1 paper). The work is most often cited by research in Signal Processing (26 citations), Computer Networks and Communications (36 citations), Artificial Intelligence (29 citations), Radiation (6 citations) and Information Systems (13 citations). Ryan Sheatsley has collaborated with scholars based in United States and Canada. Frequent co-authors include Patrick McDaniel, Gunjan Verma, Nicolas Papernot, Kevin Chan, Azaree T. Lintereur, Quan Pham, Syed Rafiul Hussain, Jonathan Petit, John Zhu and Engin Kirda. Their work appears in journals such as Journal of Computer Security, IEEE Sensors Journal, IEEE Transactions on Dependable and Secure Computing, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and arXiv (Cornell University).

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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