D. Nadeau

405 citations
10 papers · 298 indexed · h-index 8
Topics
Big Data and Business Intelligence (2 papers)Cloud Computing and Resource Management (2 papers)Climate variability and models (2 papers)
Partner nations
United StatesCanadaJapan

In The Last Decade

D. Nadeau

9 papers receiving 270 citations

Peers

D. Nadeau
Comparison fields: 5 of 68
  • Oceanography 100
  • Global and Planetary Change 76
  • Ecology 41
  • Atmospheric Science 40
  • Electrical and Electronic Engineering 33
Replace David Swayne with:
David Swayne Canada
Diana Di Luccio Italy
Roger Moore United Kingdom
Lianchong Zhang China
Raffaele Montella Italy
José M. Cotos Spain
Matthew B.J. Purss Australia
Manil Maskey United States
Jon Blower United Kingdom
Baoxuan Jin China
D. Nadeau relative to David Swayne Canada David Swayne's profile →
Citations per field
00.5×5.5×
David Swayne · 1×
Citations per year

Countries citing papers authored by D. Nadeau

Since Specialization
Citations

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

Fields of papers citing papers by D. Nadeau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Nadeau

This figure shows the co-authorship network connecting the top 25 collaborators of D. Nadeau. A scholar is included among the top collaborators of D. Nadeau 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 D. Nadeau. D. Nadeau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 19
3 81
4
MERRA Analytic Services: Meeting the Big Data Challenges of Climate Science through Cloud-Enabled Climate Analytics-as-a-Service
2
5 48
6 8
7 9
8 21
9 24
10 86

About D. Nadeau

D. Nadeau is a scholar working on Information Systems and Management, Global and Planetary Change and Management Information Systems, having authored 10 papers that have together received 298 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (2 papers), Cloud Computing and Resource Management (2 papers) and Climate variability and models (2 papers). The work is most often cited by research in Oceanography (100 citations), Information Systems and Management (25 citations) and Global and Planetary Change (76 citations). D. Nadeau has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Bisman Nababan, Douglas C. Biggs, Kendall L. Carder, Frank Müller‐Karger, Chuanmin Hu, William P. Webster, John H. Thompson, John L. Schnase, Daniel Q. Duffy and Aijun Chen. Their work appears in journals such as International Journal of Remote Sensing, Computers & Geosciences and Eos.

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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