C. D. Peters‐Lidard

15.7k total citations · 2 hit papers
208 papers, 10.3k citations indexed

About

C. D. Peters‐Lidard is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, C. D. Peters‐Lidard has authored 208 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Atmospheric Science, 123 papers in Global and Planetary Change and 83 papers in Environmental Engineering. Recurrent topics in C. D. Peters‐Lidard's work include Meteorological Phenomena and Simulations (87 papers), Climate variability and models (84 papers) and Soil Moisture and Remote Sensing (71 papers). C. D. Peters‐Lidard is often cited by papers focused on Meteorological Phenomena and Simulations (87 papers), Climate variability and models (84 papers) and Soil Moisture and Remote Sensing (71 papers). C. D. Peters‐Lidard collaborates with scholars based in United States, United Kingdom and South Korea. C. D. Peters‐Lidard's co-authors include Sujay V. Kumar, Yudong Tian, Joseph A. Santanello, David M. Mocko, Eric F. Wood, Matthew Garcia, Kristi R. Arsenault, Rolf H. Reichle, Shugong Wang and Wei‐Kuo Tao and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Journal of Climate.

In The Last Decade

C. D. Peters‐Lidard

202 papers receiving 10.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Land information system: An interoperable framework for high resolution land surface modeling

2005 537 citations Sujay V. Kumar, C. D. Peters‐Lidard et al. profile →
A land data assimilation system for sub-Saharan Africa food and water security applications

2017 445 citations Amy McNally, Kristi R. Arsenault et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. D. Peters‐Lidard United States	55	6.4k	6.2k	3.7k	2.9k	828	208	10.3k
Gianpaolo Balsamo United Kingdom	48	7.3k 1.1×	7.7k 1.2×	3.3k 0.9×	2.4k 0.8×	534 0.6×	132	11.6k
Guo‐Yue Niu United States	41	5.6k 0.9×	6.8k 1.1×	2.6k 0.7×	4.0k 1.4×	961 1.2×	110	10.6k
Sujay V. Kumar United States	44	4.1k 0.6×	4.1k 0.7×	2.9k 0.8×	2.5k 0.9×	564 0.7×	212	7.5k
Martin Hirschi Switzerland	29	4.3k 0.7×	5.9k 1.0×	2.9k 0.8×	1.9k 0.7×	789 1.0×	55	8.4k
Clément Albergel France	39	4.9k 0.8×	3.8k 0.6×	4.1k 1.1×	1.6k 0.5×	812 1.0×	118	8.1k
V. Lakshmi United States	50	4.5k 0.7×	3.8k 0.6×	5.1k 1.4×	3.1k 1.1×	829 1.0×	254	9.0k
Jun Qin China	47	5.4k 0.8×	5.0k 0.8×	2.6k 0.7×	1.5k 0.5×	461 0.6×	121	9.2k
Paul A. Dirmeyer United States	67	9.3k 1.4×	12.2k 2.0×	4.4k 1.2×	3.5k 1.2×	1.0k 1.2×	212	15.6k
Adriaan J. Teuling Netherlands	49	5.7k 0.9×	9.8k 1.6×	4.2k 1.1×	4.1k 1.4×	1.2k 1.5×	190	13.8k
Youlong Xia United States	40	3.8k 0.6×	5.9k 0.9×	2.1k 0.6×	2.9k 1.0×	481 0.6×	63	8.2k

Countries citing papers authored by C. D. Peters‐Lidard

Since Specialization

Citations

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

Fields of papers citing papers by C. D. Peters‐Lidard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. D. Peters‐Lidard. 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. D. Peters‐Lidard. The network helps show where C. D. Peters‐Lidard may publish in the future.

Co-authorship network of co-authors of C. D. Peters‐Lidard

This figure shows the co-authorship network connecting the top 25 collaborators of C. D. Peters‐Lidard. A scholar is included among the top collaborators of C. D. Peters‐Lidard 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. D. Peters‐Lidard. C. D. Peters‐Lidard 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:

20 of 20 papers shown

Nie, Wanshu, Sujay V. Kumar, Kristi R. Arsenault, et al.. (2022). Towards effective drought monitoring in the Middle East and North Africa (MENA) region: implications from assimilating leaf area index and soil moisture into the Noah-MP land surface model for Morocco. Hydrology and earth system sciences. 26(9). 2365–2386. 24 indexed citations

McNally, Amy, Jossy P. Jacob, Kristi R. Arsenault, et al.. (2022). A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan. Earth system science data. 14(7). 3115–3135. 25 indexed citations

You, Yalei, C. D. Peters‐Lidard, Sarah Ringerud, & John M. Haynes. (2021). Evaluation of Rainfall‐Snowfall Separation Performance in Remote Sensing Datasets. Geophysical Research Letters. 48(21). 8 indexed citations

Nie, Wanshu, Sujay V. Kumar, Kristi R. Arsenault, et al.. (2021). Towards Effective Drought Monitoring in the Middle East and North Africa (MENA) Region: Implications from Assimilating Leaf Area Index and Soil Moisture into the Noah-MP Land Surface Model for Morocco. 3 indexed citations

Yoon, Young Joon, et al.. (2020). LIS-Hydro: Authoritative Source for OCONUS Hydro-Intelligence. AGU Fall Meeting Abstracts. 2020. 1 indexed citations

Kumar, Sujay V., Thomas Holmes, Rajat Bindlish, Richard de Jeu, & C. D. Peters‐Lidard. (2020). Assimilation of vegetation optical depth retrievals from passive microwave radiometry. Hydrology and earth system sciences. 24(7). 3431–3450. 39 indexed citations

Shukla, Shraddhanand, Kristi R. Arsenault, C. D. Peters‐Lidard, et al.. (2020). Improving early warning of drought-driven food insecurity in southern Africa using operational hydrological monitoring and forecasting products. Natural hazards and earth system sciences. 20(4). 1187–1201. 23 indexed citations

Kemp, Eric, et al.. (2020). Evaluation of a New Global Precipitation Analysis at the US Air Force 557th Weather Wing. 1 indexed citations

Arsenault, Kristi R., Sujay V. Kumar, Shugong Wang, et al.. (2018). The Land surface Data Toolkit (LDT v7.2) – a data fusion environment for land data assimilation systems. Geoscientific model development. 11(9). 3605–3621. 45 indexed citations

10.

Clark, Martyn, Marc F. P. Bierkens, Luis Samaniego, et al.. (2017). The evolution of process-based hydrologic models: Historical challenges and the collective quest for physical realism. Explore Bristol Research. 7 indexed citations

11.

Peters‐Lidard, C. D., Martyn Clark, Luis Samaniego, et al.. (2017). Scaling, similarity, and the fourth paradigm for hydrology. Hydrology and earth system sciences. 21(7). 3701–3713. 70 indexed citations

12.

Kumar, Sujay V., et al.. (2017). Role of forcing uncertainty and background model error characterization in snow data assimilation. Hydrology and earth system sciences. 21(6). 2637–2647. 18 indexed citations

13.

Kumar, Sujay V., et al.. (2016). Role of forcing uncertainty and model error background characterization in snow data assimilation. 4 indexed citations

14.

Harrison, Kenneth W., Yudong Tian, C. D. Peters‐Lidard, Sarah Ringerud, & Sujay V. Kumar. (2015). Calibration to Improve Forward Model Simulation of Microwave Emissivity at GPM Frequencies Over the U.S. Southern Great Plains. IEEE Transactions on Geoscience and Remote Sensing. 54(2). 1103–1117. 9 indexed citations

15.

Kumar, Sujay V., C. D. Peters‐Lidard, Joseph A. Santanello, et al.. (2015). Evaluating the utility of satellite soil moisture retrievals over irrigated areas and the ability of land data assimilation methods to correct for unmodeled processes. Hydrology and earth system sciences. 19(11). 4463–4478. 149 indexed citations

16.

Barros, Ana P., Miguel Nogueira, C. D. Peters‐Lidard, et al.. (2014). The GPM GV Integrated Precipitation and Hydrology Experiment (IPHEx) in the Southern Appalachians- Focus on Water Cycle Processes. 2014 AGU Fall Meeting. 2014. 1 indexed citations

17.

Getirana, Augusto & C. D. Peters‐Lidard. (2013). Estimating water discharge from large radar altimetry datasets. Hydrology and earth system sciences. 17(3). 923–933. 54 indexed citations

18.

Kumar, Sujay V., et al.. (2012). Land surface Verification Toolkit (LVT) – a generalized framework for land surface model evaluation. Geoscientific model development. 5(3). 869–886. 51 indexed citations

19.

Getirana, Augusto & C. D. Peters‐Lidard. (2012). Water discharge estimates from large radar altimetry datasets in the Amazon basin. 10 indexed citations

20.

Georgakakos, Aris P., et al.. (2007). Uncertainty characterization in a combined IR/Microwave scheme for remote sensing of precipitation. IAHS-AISH publication. 70–77.

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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