Curtis H. Marshall

2.5k citations
9 papers · 925 indexed · 1 hit paper · h-index 8
Topics
Climate variability and models (9 papers)Meteorological Phenomena and Simulations (5 papers)Plant Water Relations and Carbon Dynamics (4 papers)

In The Last Decade

Curtis H. Marshall

9 papers receiving 895 citations

Hit Papers

Real‐time and retrospective forcing in the North American...20032026201020182003100200300400500

Peers

Curtis H. Marshall
Comparison fields: 5 of 80
  • Global and Planetary Change 626
  • Atmospheric Science 455
  • Environmental Engineering 286
  • Water Science and Technology 245
  • Ecology 91
Replace Ramchandra Karki with:
Ramchandra Karki Nepal
Francesca Di Giuseppe United Kingdom
Claudine Pereira Dereczynski Brazil
Deeksha Rastogi United States
K. M. Sampson United States
Chuanhao Wu China
Charles Alonge United States
Josiane F. Bustamante Brazil
Jorge Luís Gomes Brazil
Gustavo Sueiro Brazil
Curtis H. Marshall relative to Ramchandra Karki Nepal Ramchandra Karki's profile →
Citations per field
00.5×4.4×
Ramchandra Karki · 1×
Citations per year

Countries citing papers authored by Curtis H. Marshall

Since Specialization
Citations

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

Fields of papers citing papers by Curtis H. Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Curtis H. Marshall. 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 Curtis H. Marshall. The network helps show where Curtis H. Marshall may publish in the future.

Co-authorship network of co-authors of Curtis H. Marshall

This figure shows the co-authorship network connecting the top 25 collaborators of Curtis H. Marshall. A scholar is included among the top collaborators of Curtis H. Marshall 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 Curtis H. Marshall. Curtis H. Marshall 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
#WorkIndexed citations
1 27
2 1
3 118
4 118
5 30
6 35
7 31
8
Real‐time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) projectbreakdown →
537
9 28

About Curtis H. Marshall

Curtis H. Marshall is a scholar working on Global and Planetary Change, Atmospheric Science and Earth-Surface Processes, having authored 9 papers that have together received 925 indexed citations. Recurring topics across this work include Climate variability and models (9 papers), Meteorological Phenomena and Simulations (5 papers) and Plant Water Relations and Carbon Dynamics (4 papers). The work is most often cited by research in Global and Planetary Change (626 citations), Atmospheric Science (455 citations) and Environmental Engineering (286 citations). Curtis H. Marshall has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Roger A. Pielke, Louis T. Steyaert, Kenneth E. Mitchell, Alan Robock, B. Cosgrove, John C. Schaake, Lifeng Luo, J. D. Tarpley, R. Wayne Higgins and Jesse Meng. Their work appears in journals such as Nature, Journal of Geophysical Research Atmospheres and Monthly Weather Review.

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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