D. Nadeau

405 total citations
10 papers, 298 citations indexed

About

D. Nadeau is a scholar working on Global and Planetary Change, Information Systems and Management Information Systems. According to data from OpenAlex, D. Nadeau has authored 10 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Global and Planetary Change, 3 papers in Information Systems and 2 papers in Management Information Systems. Recurrent topics in D. Nadeau's work include Big Data and Business Intelligence (2 papers), Cloud Computing and Resource Management (2 papers) and Climate variability and models (2 papers). D. Nadeau is often cited by papers focused on Big Data and Business Intelligence (2 papers), Cloud Computing and Resource Management (2 papers) and Climate variability and models (2 papers). D. Nadeau collaborates with scholars based in United States, Canada and Japan. D. Nadeau's 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 and has published in prestigious journals such as International Journal of Remote Sensing, Computers & Geosciences and Eos.

In The Last Decade

D. Nadeau

9 papers receiving 270 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
D. Nadeau United States	8	100	76	41	40	33	10	298
Justin Davis United States	12	118 1.2×	62 0.8×	34 0.8×	140 3.5×	10 0.3×	39	315
M. Srinivasa Rao India	10	41 0.4×	58 0.8×	18 0.4×	48 1.2×	25 0.8×	46	313
Kwangseob Kim South Korea	9	30 0.3×	82 1.1×	27 0.7×	110 2.8×	36 1.1×	47	307
Manil Maskey United States	9	101 1.0×	174 2.3×	28 0.7×	247 6.2×	7 0.2×	72	470
David Swayne Canada	11	26 0.3×	106 1.4×	30 0.7×	38 0.9×	6 0.2×	40	442
Maryam R. Al-Shehhi United Arab Emirates	8	60 0.6×	35 0.5×	27 0.7×	17 0.4×	18 0.5×	24	350
José M. Cotos Spain	10	162 1.6×	59 0.8×	26 0.6×	14 0.3×	2 0.1×	24	349
Jon Blower United Kingdom	12	91 0.9×	114 1.5×	12 0.3×	82 2.0×	22 0.7×	37	398
Jan Viebahn Netherlands	11	175 1.8×	195 2.6×	13 0.3×	161 4.0×	45 1.4×	20	344
Heshan Lin China	14	116 1.2×	87 1.1×	88 2.1×	20 0.5×	37 1.1×	34	590

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

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Doutriaux, Charles, et al.. (2026). The Climate Model Output Rewriter (CMOR). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

2.

Durack, Paul J., Karl E. Taylor, Veronika Eyring, et al.. (2018). Toward Standardized Data Sets for Climate Model Experimentation. Eos. 99. 19 indexed citations

3.

Schnase, John L., et al.. (2014). MERRA Analytic Services: Meeting the Big Data challenges of climate science through cloud-enabled Climate Analytics-as-a-Service. Computers Environment and Urban Systems. 61. 198–211. 81 indexed citations

4.

Schnase, John L., et al.. (2013). MERRA Analytic Services: Meeting the Big Data Challenges of Climate Science through Cloud-Enabled Climate Analytics-as-a-Service. AGU Fall Meeting Abstracts. 2013. 2 indexed citations

5.

Chen, Aijun, et al.. (2008). Visualization of A-Train vertical profiles using Google Earth. Computers & Geosciences. 35(2). 419–427. 48 indexed citations

6.

Nadeau, D., et al.. (2008). VFT maintenance and operating performance. 1–5. 8 indexed citations

7.

Chen, Aijun, Gregory Leptoukh, Steven Kempler, D. Nadeau, & Xiaoping Zhang. (2008). Augmenting the Research Value of Geospatial Data using Google Earth. Journal of the Virtual Explorer. 29. 9 indexed citations

8.

Nadeau, D.. (2007). A 100-MW Variable Frequency Transformer (VFT) on the Hydro-Québec TransÉnergie Network - The Behavior during Disturbance. 1–5. 21 indexed citations

9.

Acker, James G., A. P. Vasilkov, D. Nadeau, & Norman Kuring. (2004). Use of SeaWiFS ocean color data to estimate neritic sediment mass transport from carbonate platforms for two hurricane-forced events. Coral Reefs. 23(1). 39–47. 24 indexed citations

10.

Hu, Chuanmin, Frank Müller‐Karger, Douglas C. Biggs, et al.. (2003). Comparison of ship and satellite bio-optical measurements on the continental margin of the NE Gulf of Mexico. International Journal of Remote Sensing. 24(13). 2597–2612. 86 indexed citations

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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