John M. Grego

1.4k citations
30 papers · 1.0k · h-index 15

Impact in

Papers in

John M. Grego

29 papers receiving 955 citations

Peers

John M. Grego
Comparison fields: 5 of 144
  • Statistics and Probability 186
  • Global and Planetary Change 343
  • Nature and Landscape Conservation 131
  • Management Science and Operations Research 94
  • Environmental Engineering 82
Replace W. N. Venables with:
W. N. Venables Australia
Colin Gallagher United States
Tatiana Benaglia Brazil
Marco A. R. Ferreira United States
Dan Grove United Kingdom
Derek S. Young United States
Benoît Liquet France
Robert L. Schaefer United States
JONQUIL BEVAN
Andrew Thomas Canada
John M. Grego relative to W. N. Venables Australia W. N. Venables's profile →
Citations per field
00.5×2.9×
W. N. Venables · 1×
Citations per year

Countries citing papers authored by John M. Grego

Since Specialization
Citations

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

Fields of papers citing papers by John M. Grego

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991194
2 2009141
3 199695
4 201989
5 201281
6 200475
7 199868
8 199842
9 200134
10 199330
11 199124
12 201024
13 201919
14 199818
15 200017
16 200710
17 20219
18 20228
19 19968
20
Maximum likelihood estimation with binary-data regression models: small-sample and large-sample features.
20106

About John M. Grego

John M. Grego is a scholar working on Global and Planetary Change, Management Science and Operations Research, Ecology, Statistics and Probability and Nature and Landscape Conservation, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Climate variability and models (4 papers), Optimal Experimental Design Methods (4 papers), Fire effects on ecosystems (4 papers), Hydrology and Drought Analysis (4 papers), Plant Water Relations and Carbon Dynamics (2 papers), Flood Risk Assessment and Management (2 papers), Psychometric Methodologies and Testing (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Statistics and Probability (186 citations), Global and Planetary Change (343 citations), Nature and Landscape Conservation (131 citations), Management Science and Operations Research (94 citations) and Environmental Engineering (82 citations). John M. Grego has collaborated with scholars based in United States, Iraq and Brazil. Frequent co-authors include Bruce G. Lindsay, Clifford C. Clogg, J. Kevin Hiers, E. Louise Loudermilk, Joseph J. O’Brien, Gregory J. Carbone, Junyu Lu, Rebecca Mitchell, William Brannon and Robert J. Mitchell. Their work appears in journals such as Technometrics, International Journal of Wildland Fire, Journal of Parasitology, Journal of the American Statistical Association and Journal of Agricultural Biological and Environmental Statistics.

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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