David Iverson

574 citations
34 papers · 401 indexed · h-index 9

Impact in

Papers in

David Iverson

33 papers receiving 372 citations

Peers

David Iverson
Comparison fields: 5 of 75
  • Control and Systems Engineering 170
  • Statistics, Probability and Uncertainty 47
  • Software 24
  • Medical Laboratory Technology 9
  • Finance 58
Replace Jason M. Aughenbaugh with:
Jason M. Aughenbaugh United States
Qingyu Yang United States
Y.S. Sherif United States
Warren R. Scott United States
Tahani Coolen‐Maturi United Kingdom
Aparna V. Huzurbazar United States
Jarosław Sugier Poland
Lui Wang United States
David Iverson relative to Jason M. Aughenbaugh United States Jason M. Aughenbaugh's profile →
Citations per field
00.5×4.8×
Jason M. Aughenbaugh · 1×
Citations per year

Countries citing papers authored by David Iverson

Since Specialization
Citations

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

Fields of papers citing papers by David Iverson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20131
2 20132
3 20139
4
Advanced Caution and Warning System, Final Report: 2011
20131
5 201237
6 200932
7 200830
8
INDUCTIVE SYSTEM HEALTH MONITORING WITH STATISTICAL METRICS
20053
9 20053
10
Inductive System Health Monitoring
2004102
11
System Modeling and Diagnostics for Liquefying-Fuel Hybrid Rockets
20031
12 20033
13 20032
14 20020
15 19972
16 19967
17
Automated Telescope Monitoring and Diagnosis
19951
18 19957
19
Real time automated diagnosis using matrix failure modes and effects analysis
19935
20
Fault management for data systems
19932

About David Iverson

David Iverson is a scholar working on Control and Systems Engineering, Software, Medical Laboratory Technology, Signal Processing and Artificial Intelligence, having authored 34 papers that have together received 401 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (16 papers), Advanced Data Processing Techniques (11 papers), Anomaly Detection Techniques and Applications (7 papers), Time Series Analysis and Forecasting (6 papers), AI-based Problem Solving and Planning (4 papers), Software Reliability and Analysis Research (3 papers), Risk and Safety Analysis (3 papers) and Software System Performance and Reliability (3 papers). The work is most often cited by research in Control and Systems Engineering (170 citations), Statistics, Probability and Uncertainty (47 citations), Software (24 citations), Medical Laboratory Technology (9 citations) and Finance (58 citations). David Iverson has collaborated with scholars based in United States, New Zealand and Singapore. Frequent co-authors include Robert G. Bowman, Mark Schwabacher, William M. Taylor, Ryan Mackey, J. Castle, Rodney Martin, Lilly Spirkovska, V. Baskaran, Ann Patterson‐Hine and Michael Shafto. Their work appears in journals such as The Journal of Psychiatry & Law, IEEE Aerospace and Electronic Systems Magazine, Reliability Engineering & System Safety, Pacific-Basin Finance Journal and Journal of Materials in Civil Engineering.

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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