Ryan Mackey

496 citations
38 papers · 370 · h-index 12

Impact in

Papers in

    • Fault Detection and Control Systems 17
    • Advanced Data Processing Techniques 6
    • Systems Engineering Methodologies and Applications 3
    • AI-based Problem Solving and Planning 9
    • Anomaly Detection Techniques and Applications 4
    • Advanced Software Engineering Methodologies 3

Ryan Mackey

34 papers receiving 336 citations

Peers

Ryan Mackey
Comparison fields: 5 of 53
  • Medical Laboratory Technology 16
  • Software 35
  • Control and Systems Engineering 181
  • Statistics, Probability and Uncertainty 33
  • Artificial Intelligence 146
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Eliahu Khalastchi Israel
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Shuai Zhao China
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Citations per year

Countries citing papers authored by Ryan Mackey

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Mackey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201240
2 200936
3 200328
4 200223
5 200223
6 200220
7 202017
8
Productivity challenges for Mars rover operations
201617
9 200417
10
Diagnostic Technology Evaluation Report For On-Board Crew Launch Vehicle
200616
11 200215
12 200411
13 202110
14 20148
15 20028
16 20028
17 20217
18 20217
19 20176
20
New Approaches for Solving the Diagnosis Problem
20026

About Ryan Mackey

Ryan Mackey is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications, Software and Astronomy and Astrophysics, having authored 38 papers that have together received 370 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (17 papers), AI-based Problem Solving and Planning (9 papers), Advanced Data Processing Techniques (6 papers), Anomaly Detection Techniques and Applications (4 papers), Technology Assessment and Management (4 papers), Software Reliability and Analysis Research (4 papers), Systems Engineering Methodologies and Applications (3 papers) and Advanced Software Engineering Methodologies (3 papers). The work is most often cited by research in Medical Laboratory Technology (16 citations), Software (35 citations), Control and Systems Engineering (181 citations), Statistics, Probability and Uncertainty (33 citations) and Artificial Intelligence (146 citations). Ryan Mackey has collaborated with scholars based in United States. Frequent co-authors include Michail Zak, Mark James, J. Castle, David Iverson, T. Brotherton, Mark Schwabacher, Rodney Martin, William M. Taylor, Lorraine Fesq and Amir Fijany. Their work appears in journals such as IEEE Intelligent Systems, Artificial intelligence for engineering design analysis and manufacturing, Journal of Field Robotics, Proceedings - IEEE Aerospace Conference and NASA Technical Reports Server (NASA).

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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