Daniel Deacu

546 total citations
10 papers, 267 citations indexed

About

Daniel Deacu is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Daniel Deacu has authored 10 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atmospheric Science, 7 papers in Global and Planetary Change and 3 papers in Oceanography. Recurrent topics in Daniel Deacu's work include Climate variability and models (7 papers), Arctic and Antarctic ice dynamics (5 papers) and Meteorological Phenomena and Simulations (4 papers). Daniel Deacu is often cited by papers focused on Climate variability and models (7 papers), Arctic and Antarctic ice dynamics (5 papers) and Meteorological Phenomena and Simulations (4 papers). Daniel Deacu collaborates with scholars based in Canada, United States and Netherlands. Daniel Deacu's co-authors include Paul G. Myers, Vincent Fortin, Christopher Spence, Peter D. Blanken, Ayrton Zadra, G. C. Moore Smith, Barbara Winter, P. Pellerin, Michael Ek and Vincent E. Larson and has published in prestigious journals such as Monthly Weather Review, Bulletin of the American Meteorological Society and Journal of Physical Oceanography.

In The Last Decade

Daniel Deacu

10 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Deacu Canada	7	216	202	67	56	44	10	267
Olivier Traullé France	9	205 0.9×	201 1.0×	32 0.5×	21 0.4×	48 1.1×	14	278
Sophie Cloché France	9	238 1.1×	211 1.0×	78 1.2×	18 0.3×	29 0.7×	12	290
Daryl J. Onton United States	7	315 1.5×	287 1.4×	24 0.4×	29 0.5×	45 1.0×	8	353
Frank P. Colby United States	8	318 1.5×	325 1.6×	31 0.5×	18 0.3×	30 0.7×	18	373
Jacqueline Binyamin Canada	6	163 0.8×	185 0.9×	53 0.8×	80 1.4×	25 0.6×	10	275
Aleksandr P. Makshtas United States	7	466 2.2×	252 1.2×	47 0.7×	11 0.2×	56 1.3×	8	482
Joël Barrié France	7	69 0.3×	101 0.5×	46 0.7×	24 0.4×	49 1.1×	10	164
Tim Kruschke Germany	11	227 1.1×	261 1.3×	44 0.7×	44 0.8×	28 0.6×	29	314
Shuxin Cai China	10	257 1.2×	250 1.2×	50 0.7×	43 0.8×	26 0.6×	15	331
Matthieu Leclair Switzerland	6	186 0.9×	192 1.0×	88 1.3×	9 0.2×	30 0.7×	9	267

Countries citing papers authored by Daniel Deacu

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Deacu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Deacu

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

All Works

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10 of 10 papers shown

Bélair, Stéphane, Marco L. Carrera, Maria Abrahamowicz, et al.. (2019). Spaceborne L-Band Radiometry in Environment and Climate Change Canada (ECCC)’S Numerical Analysis and Prediction Systems. 7526–7528. 2 indexed citations

Smith, G. C. Moore, J R Bélanger, François Roy, et al.. (2018). Impact of Coupling with an Ice–Ocean Model on Global Medium-Range NWP Forecast Skill. Monthly Weather Review. 146(4). 1157–1180. 56 indexed citations

Durnford, Dorothy, Vincent Fortin, G. C. Moore Smith, et al.. (2017). Toward an Operational Water Cycle Prediction System for the Great Lakes and St. Lawrence River. Bulletin of the American Meteorological Society. 99(3). 521–546. 38 indexed citations

Pellerin, P., G. C. Moore Smith, Charles‐Emmanuel Testut, et al.. (2015). The CONCEPTS Global Ice-Ocean Prediction System: Establishing an Environmental Prediction Capability in Canada. EGU General Assembly Conference Abstracts. 7170. 1 indexed citations

Bosveld, Fred C., Peter Baas, Gert‐Jan Steeneveld, et al.. (2014). The Third GABLS Intercomparison Case for Evaluation Studies of Boundary-Layer Models. Part B: Results and Process Understanding. Boundary-Layer Meteorology. 152(2). 157–187. 82 indexed citations

Deacu, Daniel, et al.. (2012). Predicting the Net Basin Supply to the Great Lakes with a Hydrometeorological Model. Journal of Hydrometeorology. 13(6). 1739–1759. 57 indexed citations

Deacu, Daniel, Ayrton Zadra, & John Hanesiak. (2010). Simulating wind channelling over Frobisher Bay and its interaction with downslope winds during the 7–8 November 2006 wind event. ATMOSPHERE-OCEAN. 48(2). 101–121. 6 indexed citations

Deacu, Daniel & Paul G. Myers. (2005). Effect of a Variable Eddy Transfer Coefficient in an Eddy-Permitting Model of the Subpolar North Atlantic Ocean. Journal of Physical Oceanography. 35(3). 289–307. 8 indexed citations

Deacu, Daniel & Paul G. Myers. (2005). Analysis of an 80-Year Integration of a 1/3-Degree Ocean Model of the Subpolar North Atlantic. Journal of Oceanography. 61(3). 549–555. 3 indexed citations

10.

Myers, Paul G. & Daniel Deacu. (2003). Labrador sea freshwater content in a model with a partial cell topographic representation. Ocean Modelling. 6(3-4). 359–377. 14 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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