C. M. DeChant

1.2k total citations
9 papers, 898 citations indexed

About

C. M. DeChant is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, C. M. DeChant has authored 9 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Water Science and Technology, 6 papers in Global and Planetary Change and 5 papers in Atmospheric Science. Recurrent topics in C. M. DeChant's work include Hydrology and Watershed Management Studies (6 papers), Flood Risk Assessment and Management (5 papers) and Hydrology and Drought Analysis (4 papers). C. M. DeChant is often cited by papers focused on Hydrology and Watershed Management Studies (6 papers), Flood Risk Assessment and Management (5 papers) and Hydrology and Drought Analysis (4 papers). C. M. DeChant collaborates with scholars based in United States. C. M. DeChant's co-authors include Hamid Moradkhani, Soroosh Sorooshian and Hongxiang Yan and has published in prestigious journals such as Water Resources Research, IEEE Transactions on Geoscience and Remote Sensing and Journal of Hydrology.

In The Last Decade

C. M. DeChant

9 papers receiving 886 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. M. DeChant United States 9 637 543 379 358 68 9 898
Paolo Reggiani Netherlands 19 944 1.5× 879 1.6× 399 1.1× 445 1.2× 140 2.1× 36 1.3k
Hapu Arachchige Prasantha Hapuarachchi Australia 9 497 0.8× 648 1.2× 273 0.7× 201 0.6× 24 0.4× 14 768
Luis Bastidas United States 10 298 0.5× 308 0.6× 175 0.5× 249 0.7× 105 1.5× 16 584
Che-Hao Chang Taiwan 14 215 0.3× 398 0.7× 321 0.8× 171 0.5× 54 0.8× 34 614
Sudershan Gangrade United States 15 366 0.6× 464 0.9× 227 0.6× 142 0.4× 32 0.5× 28 614
Louise Crochemore Sweden 16 617 1.0× 651 1.2× 236 0.6× 243 0.7× 22 0.3× 33 830
Magali Troin Canada 13 476 0.7× 483 0.9× 242 0.6× 241 0.7× 14 0.2× 27 709
Edward P. Campbell Australia 10 330 0.5× 424 0.8× 141 0.4× 213 0.6× 32 0.5× 14 640
Jos Samuel Canada 13 455 0.7× 378 0.7× 153 0.4× 224 0.6× 36 0.5× 15 597
H. Stricker United States 7 328 0.5× 717 1.3× 254 0.7× 169 0.5× 79 1.2× 9 792

Countries citing papers authored by C. M. DeChant

Since Specialization
Citations

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

Fields of papers citing papers by C. M. DeChant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. M. DeChant. 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 C. M. DeChant. The network helps show where C. M. DeChant may publish in the future.

Co-authorship network of co-authors of C. M. DeChant

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

All Works

9 of 9 papers shown
1.
DeChant, C. M. & Hamid Moradkhani. (2015). On the assessment of reliability in probabilistic hydrometeorological event forecasting. Water Resources Research. 51(6). 3867–3883. 11 indexed citations
2.
Yan, Hongxiang, C. M. DeChant, & Hamid Moradkhani. (2015). Improving Soil Moisture Profile Prediction With the Particle Filter-Markov Chain Monte Carlo Method. IEEE Transactions on Geoscience and Remote Sensing. 53(11). 6134–6147. 79 indexed citations
3.
DeChant, C. M. & Hamid Moradkhani. (2014). Analyzing the sensitivity of drought recovery forecasts to land surface initial conditions. Journal of Hydrology. 526. 89–100. 30 indexed citations
5.
DeChant, C. M. & Hamid Moradkhani. (2012). Examining the effectiveness and robustness of sequential data assimilation methods for quantification of uncertainty in hydrologic forecasting. Water Resources Research. 48(4). 156 indexed citations
6.
Moradkhani, Hamid, et al.. (2012). Toward reduction of model uncertainty: Integration of Bayesian model averaging and data assimilation. Water Resources Research. 48(3). 124 indexed citations
7.
Moradkhani, Hamid, C. M. DeChant, & Soroosh Sorooshian. (2012). Evolution of ensemble data assimilation for uncertainty quantification using the particle filter‐Markov chain Monte Carlo method. Water Resources Research. 48(12). 200 indexed citations
8.
DeChant, C. M. & Hamid Moradkhani. (2011). Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation. Hydrology and earth system sciences. 15(11). 3399–3410. 111 indexed citations
9.
DeChant, C. M. & Hamid Moradkhani. (2010). Radiance data assimilation for operational snow and streamflow forecasting. Advances in Water Resources. 34(3). 351–364. 118 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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