Ryan Sheatsley

568 citations
15 papers · 72 · h-index 5

Impact in

Papers in

Ryan Sheatsley

13 papers receiving 67 citations

Peers

Ryan Sheatsley
Comparison fields: 5 of 18
  • Signal Processing 27
  • Computer Networks and Communications 37
  • Radiation 8
  • Artificial Intelligence 30
  • Radiological and Ultrasound Technology 3
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S. Vejcik United States
Ravin Ahuja India
Mohammad O. Hiari Jordan
Idowu Dauda Oladipo Nigeria
Mikal Ziane France
Daniele Moro Italy
Mansoor Farooq India
Khiem Le Vietnam
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Citations per field
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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 17 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

15 of 15 papers shown
#Work
1 202223
2 20219
3 20188
4 20227
5 20227
6
A Vision Toward an Internet of Battlefield Things (IoBT): Autonomous Classifying Sensor Network
20184
7 20223
8 20223
9 20213
10 20252
11 20251
12 20191
13 20171
14 20240
15 20250

About Ryan Sheatsley

Ryan Sheatsley is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 72 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), Spam and Phishing Detection (1 paper), IPv6, Mobility, Handover, Networks, Security (1 paper), Cloud Computing and Resource Management (1 paper) and Energy Efficient Wireless Sensor Networks (1 paper). The work is most often cited by research in Signal Processing (27 citations), Computer Networks and Communications (37 citations), Radiation (8 citations), Artificial Intelligence (30 citations) and Radiological and Ultrasound Technology (3 citations). Ryan Sheatsley has collaborated with scholars based in United States and Canada. Frequent co-authors include Patrick McDaniel, Gunjan Verma, Nicolas Papernot, Azaree T. Lintereur, Kevin Chan, Quan Pham, John Zhu, Syed Rafiul Hussain, Jonathan Petit and Hidayet Aksu. Their work appears in journals such as IEEE Sensors Journal, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Computer Security, IEEE Transactions on Dependable and Secure Computing and ArXiv.org.

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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