Ryan Miller

25 papers receiving 180 citations

Peers

Ryan Miller
Comparison fields: 5 of 101
  • Behavioral Neuroscience 8
  • Statistical and Nonlinear Physics 27
  • Endocrine and Autonomic Systems 10
  • Pharmacology 19
  • Safety, Risk, Reliability and Quality 9
Replace Nitaro Shibata with:
Nitaro Shibata Japan
Claudio Durán Germany
Jeffrey House United States
Marios Kyriazis United Kingdom
Kailing Zhang China
Esther Garcı́a Spain
Anand Pawar India
Orazio Cascio Italy
Amanda Francis United States
Norbert Iost Hungary
Ryan Miller relative to Nitaro Shibata Japan Nitaro Shibata's profile →
Citations per field
00.5×6.3×
Nitaro Shibata · 1×
Citations per year

Countries citing papers authored by Ryan Miller

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ryan Miller, 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 Miller Line = papers co-authored together Ryan Miller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201839
2 195525
3 201821
4 202014
5 198111
6 20089
7 19699
8 20178
9 20227
10 20096
11 20235
12
Purpose-Driven Communities in Multiplex Networks: Thresholding User-Engaged Layer Aggregation
20164
13 19614
14
Behavioural consequences of hypertension: effects of age and type of antihypertensive agent.
19894
15 20183
16 20183
17 20223
18 19802
19 20232
20 20082

About Ryan Miller

Ryan Miller is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Pharmacology, Surgery and Management Science and Operations Research, having authored 29 papers that have together received 188 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Cannabis and Cannabinoid Research (2 papers), Manufacturing Process and Optimization (2 papers), Spam and Phishing Detection (2 papers), Simulation Techniques and Applications (2 papers), Scientific Research and Discoveries (2 papers), Network Security and Intrusion Detection (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Behavioral Neuroscience (8 citations), Statistical and Nonlinear Physics (27 citations), Endocrine and Autonomic Systems (10 citations), Pharmacology (19 citations) and Safety, Risk, Reliability and Quality (9 citations). Ryan Miller has collaborated with scholars based in United States, India and Argentina. Frequent co-authors include Ralucca Gera, Jeffrey House, J. A. Méndez‐Bermúdez, Brian Crawford, Thomas E. Knuth, J. Stuart Soeldner, M. S. Jones, Timothy L. Brown, Kevin L. Garvin and M. Roy. Their work appears in journals such as Diabetologia, Neuroendocrinology, Traffic Injury Prevention, Hypertension and Applied Network Science.

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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