Kevin Dye

6 papers receiving 229 citations

Peers

Kevin Dye
Comparison fields: 5 of 100
  • Environmental Chemistry 30
  • Catalysis 18
  • Management of Technology and Innovation 16
  • Organic Chemistry 66
  • Management Science and Operations Research 27
Replace Peter L. Johnson with:
Peter L. Johnson United States
Thomas Sandberg Finland
Liyun Qi China
Amy S. Cannon United States
José M. R. C. A. Santos Portugal
Alan Brown United Kingdom
Yang Zhong-zhi China
Polina Yaseneva United Kingdom
Chenyuan Liu China
Shuangying Chen China
Kevin Dye relative to Peter L. Johnson United States Peter L. Johnson's profile →
Citations per field
00.5×3.9×
Peter L. Johnson · 1×
Citations per year

Countries citing papers authored by Kevin Dye

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Dye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Kevin Dye, 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 Kevin Dye Line = papers co-authored together Kevin Dye links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2004152
2 201361
3 200620
4 20238
5
Collaboration through communicative action: resolving the systems dilemma through the CogniScope
19996
6
Collaborative Leadership for ESRD Patient Safety Phase 1 Report of the National Patient Safety Consensus for the Community of Stakeholders in End Stage Renal Disease
20011

About Kevin Dye

Kevin Dye is a scholar working on Management Science and Operations Research, Organic Chemistry, Molecular Biology, Control and Systems Engineering and Sociology and Political Science, having authored 6 papers that have together received 248 indexed citations. Recurring topics across this work include Complex Systems and Decision Making (3 papers), Patient Safety and Medication Errors (1 paper), Information Systems Theories and Implementation (1 paper), Healthcare Operations and Scheduling Optimization (1 paper), History and advancements in chemistry (1 paper), Biopolymer Synthesis and Applications (1 paper), Antimicrobial agents and applications (1 paper) and Cognitive Science and Mapping (1 paper). The work is most often cited by research in Environmental Chemistry (30 citations), Catalysis (18 citations), Management of Technology and Innovation (16 citations), Organic Chemistry (66 citations) and Management Science and Operations Research (27 citations). Kevin Dye has collaborated with scholars based in United States and Canada. Frequent co-authors include John C. Warner, Amy S. Cannon, Peter Jones, Yiannis Laouris, Alexander N. Christakis, Chris Feudtner and Peter H. Schwartz. Their work appears in journals such as Environmental Impact Assessment Review, Journal of Biomedical Materials Research Part A, Systems Research and Behavioral Science and Technological Forecasting and Social Change.

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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