T. G. Gregoire

1.0k citations
12 papers · 770 indexed · h-index 9
Topics
Forest ecology and management (3 papers)Statistical Methods and Bayesian Inference (2 papers)Remote Sensing and LiDAR Applications (2 papers)
Partner nations
United States

In The Last Decade

T. G. Gregoire

10 papers receiving 660 citations

Peers

T. G. Gregoire
Comparison fields: 5 of 107
  • Nature and Landscape Conservation 395
  • Environmental Engineering 381
  • Global and Planetary Change 215
  • Ecology 190
  • Insect Science 115
Replace Hans T. Schreuder with:
Hans T. Schreuder United States
James P. Barrett United States
Magnus Ekström Sweden
Lisa Madsen United States
Arto Haara Finland
T. R. Dell United States
Marc Palahí Finland
Jeff D. Hamann United States
Susan Cooksley United Kingdom
Richard S. Holthausen United States
T. G. Gregoire relative to Hans T. Schreuder United States Hans T. Schreuder's profile →
Citations per field
00.5×1.5×
Hans T. Schreuder · 1×
Citations per year

Countries citing papers authored by T. G. Gregoire

Since Specialization
Citations

This map shows the geographic impact of T. G. Gregoire'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 T. G. Gregoire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. G. Gregoire more than expected).

Fields of papers citing papers by T. G. Gregoire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. G. Gregoire. 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 T. G. Gregoire. The network helps show where T. G. Gregoire may publish in the future.

Co-authorship network of co-authors of T. G. Gregoire

This figure shows the co-authorship network connecting the top 25 collaborators of T. G. Gregoire. A scholar is included among the top collaborators of T. G. Gregoire based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. G. Gregoire. T. G. Gregoire is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 72
2 1
3 1
4 19
5 254
6 22
7 72
8
Sampling Methods for Multiresource Forest Inventory
234
9 33
10 18
11 1
12 43

About T. G. Gregoire

T. G. Gregoire is a scholar working on Statistics and Probability, Nature and Landscape Conservation and Environmental Engineering, having authored 12 papers that have together received 770 indexed citations. Recurring topics across this work include Forest ecology and management (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Nature and Landscape Conservation (395 citations), Environmental Engineering (381 citations) and Global and Planetary Change (215 citations). T. G. Gregoire has collaborated with scholars based in United States. Frequent co-authors include Hans T. Schreuder, G. B. Wood, B. L. Driver, R.I. Smith, N. S. Nicholas, Shepard M. Zedaker, Oliver Schabenberger, David R. Brillinger, W. G. Warren and Russ Wolfinger. Their work appears in journals such as Psychological Bulletin, Journal of the American Statistical Association and Biometrics.

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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