Éric É. Parent

16 papers receiving 427 citations

Peers

Éric É. Parent
Comparison fields: 5 of 61
  • Management, Monitoring, Policy and Law 167
  • Nature and Landscape Conservation 53
  • Statistics and Probability 47
  • Global and Planetary Change 66
  • Statistics, Probability and Uncertainty 27
Replace J. L. Usó with:
J. L. Usó Spain
R. H. Gardner United States
Andrew Trlica United States
Dana K. Sackett United States
Ineta Kačergytė Sweden
James M. Kapetsky Italy
William J. Warren‐Hicks United States
C. Dejak Italy
Pratheesh Chacko Mammen India
Shuohao Cai China
Éric É. Parent relative to J. L. Usó Spain J. L. Usó's profile →
Citations per field
00.5×5×11.3×
J. L. Usó · 1×
Citations per year

Countries citing papers authored by Éric É. Parent

Since Specialization
Citations

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

Fields of papers citing papers by Éric É. Parent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Éric É. Parent. 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 Éric É. Parent. The network helps show where Éric É. Parent may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200754
2 201051
3 201247
4 201045
5 200844
6 201243
7 201339
8 200837
9 200929
10 201223
11 201011
12 20169
13 20098
14
Analyzing spatio-temporal data with R: Everything you always wanted to know – but were afraid to ask
20177
15 20211
16 20221

About Éric É. Parent

Éric É. Parent is a scholar working on Statistics and Probability, Management, Monitoring, Policy and Law, Economics and Econometrics, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 16 papers that have together received 449 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (6 papers), Landslides and related hazards (5 papers), Statistical Distribution Estimation and Applications (3 papers), Spatial and Panel Data Analysis (2 papers), Statistical Methods and Inference (1 paper), Probabilistic and Robust Engineering Design (1 paper), Building Energy and Comfort Optimization (1 paper) and Census and Population Estimation (1 paper). The work is most often cited by research in Management, Monitoring, Policy and Law (167 citations), Nature and Landscape Conservation (53 citations), Statistics and Probability (47 citations), Global and Planetary Change (66 citations) and Statistics, Probability and Uncertainty (27 citations). Éric É. Parent has collaborated with scholars based in France, Canada and Germany. Frequent co-authors include Nicolas Eckert, Mohamed Naaïm, Étienne Rivot, Thierry Faug, Hugues Benoît, Marie‐Pierre Étienne, Sophie Ancelet, András Bàrdossy, Charles Perrin and Vazken Andréassian. Their work appears in journals such as Stochastic Environmental Research and Risk Assessment, International Journal of Food Microbiology, Hydrological Sciences Journal, Canadian Journal of Fisheries and Aquatic Sciences and Cold Regions Science and Technology.

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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