John Deegan

1.6k citations
14 papers · 1.1k · 1 hit paper · h-index 8

Impact in

Papers in

John Deegan

13 papers receiving 1.0k citations

John Deegan's Hit Papers

Principles of environmental analysis 1983 · 603 citations
6030+14+28Years since publication200400600

Peers

John Deegan
Comparison fields: 5 of 161
  • Health, Toxicology and Mutagenesis 220
  • Analytical Chemistry 153
  • Management Science and Operations Research 170
  • Pollution 137
  • Electrochemistry 61
Replace Tapan Biswas with:
Tapan Biswas United States
Timothy B. Erickson United States
James Raymer United States
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Peter Mulder Netherlands
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Citations per year

Countries citing papers authored by John Deegan

Since Specialization
Citations

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

Fields of papers citing papers by John Deegan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Principles of environmental analysis
Hit paper breakdown →
1983603
2 1978245
3 1978173
4 197858
5 197615
6 197514
7 198014
8 197410
9 19875
10 19764
11 19872
12
The Effects of Multicollinearity and Specification Error on Models of Political Behavior.
19722
13
Unfunded Tuition Discount Rate and Net Operating Revenue: A Balancing Act
20141
14 19761

About John Deegan

John Deegan is a scholar working on Economics and Econometrics, Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research and Computer Networks and Communications, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Game Theory and Voting Systems (4 papers), Game Theory and Applications (2 papers), Qualitative Comparative Analysis Research (1 paper), Decision-Making and Behavioral Economics (1 paper), Bayesian Modeling and Causal Inference (1 paper), Advanced Control Systems Optimization (1 paper), Local Government Finance and Decentralization (1 paper) and Statistical Methods and Applications (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (220 citations), Analytical Chemistry (153 citations), Management Science and Operations Research (170 citations), Pollution (137 citations) and Electrochemistry (61 citations). John Deegan has collaborated with scholars based in United States. Frequent co-authors include Edward W. Packel, Lawrence H. Keith, Warren B. Crummett, Robert Libby, John K. Taylor, Richard G. Niemi and Kenneth J. White. Their work appears in journals such as Social Science Research, Environmental Science & Technology, Journal of Statistical Computation and Simulation, American Political Science Review and Public Choice.

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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