John W. Benoit

946 citations
14 papers · 556 · h-index 8

Impact in

Papers in

John W. Benoit

13 papers receiving 495 citations

Peers

John W. Benoit
Comparison fields: 5 of 93
  • Global and Planetary Change 340
  • Management, Monitoring, Policy and Law 95
  • Safety, Risk, Reliability and Quality 67
  • Nature and Landscape Conservation 51
  • Ecology 97
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Jeffrey L. Arthur United States
Edward Cripps Australia
Vincent Β. Robinson Canada
Lazaros S. Iliadis Greece
Firoozeh Karimi United States
Hong Chi China
Shenghua Xu China
Dmitry Podkopaev Poland
Shiming Li China
Laurence W. Carstensen United States
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Citations per field
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Citations per year

Countries citing papers authored by John W. Benoit

Since Specialization
Citations

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

Fields of papers citing papers by John W. Benoit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside John W. Benoit, 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 W. Benoit Line = papers co-authored together John W. Benoit links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2004248
2 1982147
3 200850
4 200643
5
The organization of expert systems: A prescriptive tutorial
198225
6 201011
7 202210
8 19979
9 19935
10
Modeling fire behavior on tropical islands with high-resolution weather data
20093
11
Seasonal predictions for wildland fire severity.
20092
12 19962
13 19901
14 19930

About John W. Benoit

John W. Benoit is a scholar working on Global and Planetary Change, Artificial Intelligence, Computer Networks and Communications, Management, Monitoring, Policy and Law and Atmospheric Science, having authored 14 papers that have together received 556 indexed citations. Recurring topics across this work include Fire effects on ecosystems (8 papers), Climate variability and models (3 papers), Landslides and related hazards (2 papers), AI-based Problem Solving and Planning (2 papers), Meteorological Phenomena and Simulations (2 papers), Constraint Satisfaction and Optimization (2 papers), Species Distribution and Climate Change (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Global and Planetary Change (340 citations), Management, Monitoring, Policy and Law (95 citations), Safety, Risk, Reliability and Quality (67 citations), Nature and Landscape Conservation (51 citations) and Ecology (97 citations). John W. Benoit has collaborated with scholars based in United States and Canada. Frequent co-authors include Haiganoush K. Preisler, David R. Brillinger, Robert E. Burgan, Mark Stefik, Frederick Hayes‐Roth, Earl D. Sacerdoti, Lawrence Birnbaum, Robert Balzer, Francis M. Fujioka and A. L. Westerling. Their work appears in journals such as Artificial Intelligence, International Journal of Wildland Fire, Fire, Pacific Science and Machine Translation.

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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