David Dryer

543 citations
9 papers · 347 · h-index 4

Impact in

Papers in

David Dryer

7 papers receiving 324 citations

Peers

David Dryer
Comparison fields: 5 of 60
  • Safety, Risk, Reliability and Quality 156
  • Management Science and Operations Research 193
  • Control and Systems Engineering 235
  • Management of Technology and Innovation 36
  • Management Information Systems 46
Replace Robert R. Safford with:
Robert R. Safford United States
Ralph V. Rogers United States
Kristen Baldwin United States
George Rebovich United States
Claus Ballegaard Nielsen Denmark
Howard Eisner United States
Matthew Hause United States
Reinhard Haberfellner United States
William D. Schindel United States
Dimitri Golenko‐Ginzburg Israel
David Dryer relative to Robert R. Safford United States Robert R. Safford's profile →
Citations per field
00.5×1.5×
Robert R. Safford · 1×
Citations per year

Countries citing papers authored by David Dryer

Since Specialization
Citations

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

Fields of papers citing papers by David Dryer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside David Dryer, 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 Dryer Line = papers co-authored together David Dryer links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2003265
2 200853
3 200115
4 20077
5 19923
6 20032
7 20061
8 20081
9 20200

About David Dryer

David Dryer is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Industrial and Manufacturing Engineering and Social Psychology, having authored 9 papers that have together received 347 indexed citations. Recurring topics across this work include Systems Engineering Methodologies and Applications (3 papers), Complex Systems and Decision Making (2 papers), Manufacturing Process and Optimization (2 papers), Technology Assessment and Management (2 papers), Open Source Software Innovations (1 paper), Online and Blended Learning (1 paper), Engineering and Test Systems (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Safety, Risk, Reliability and Quality (156 citations), Management Science and Operations Research (193 citations), Control and Systems Engineering (235 citations), Management of Technology and Innovation (36 citations) and Management Information Systems (46 citations). David Dryer has collaborated with scholars based in United States, Ghana and United Kingdom. Frequent co-authors include Charles B. Keating, Robert R. Safford, Andres Sousa‐Poza, Ghaith Rabadi, Ralph V. Rogers, Resit Unal, William Peterson, Paul Kauffmann, Thomas Böck and Tung Bui. Their work appears in journals such as Engineering Management Journal, Journal of Management Development, International Journal of Computer Integrated Manufacturing, IEEE Engineering Management Review and ODU Digital Commons (Old Dominion 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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