James Cummings

3.6k total citations · 1 hit paper
37 papers, 2.0k citations indexed

About

James Cummings is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, James Cummings has authored 37 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oceanography, 25 papers in Atmospheric Science and 24 papers in Global and Planetary Change. Recurrent topics in James Cummings's work include Oceanographic and Atmospheric Processes (25 papers), Climate variability and models (21 papers) and Meteorological Phenomena and Simulations (13 papers). James Cummings is often cited by papers focused on Oceanographic and Atmospheric Processes (25 papers), Climate variability and models (21 papers) and Meteorological Phenomena and Simulations (13 papers). James Cummings collaborates with scholars based in United States, France and Australia. James Cummings's co-authors include Ole Martin Smedstad, Harley E. Hurlburt, E. Joseph Metzger, Eric P. Chassignet, Robert H. Weisberg, Alexander Barth, George R. Halliwell, Ashwanth Srinivasan, Hendrik L. Tolman and Ruoying He and has published in prestigious journals such as Remote Sensing of Environment, Journal of Climate and Journal of the Atmospheric Sciences.

In The Last Decade

James Cummings

36 papers receiving 1.9k citations

Hit Papers

Operational multivariate ocean data assimilation 2005 2026 2012 2019 2005 100 200 300 400 500
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.

  1. Operational multivariate ocean data assimilation
    2005 567 citations James Cummings profile →

Peers

James Cummings
Ole Martin Smedstad United States
Rémy Baraille France
Gary B. Brassington Australia
Bruno Buongiorno Nardelli Italy
Γεράσιμος Κορρές Greece
L.‐Y. Oey United States
Avijit Gangopadhyay United States
Jean‐Michel Lellouche France
Marina Tonani Italy
Mounir Benkiran France
Ole Martin Smedstad United States
James Cummings
Citations per year, relative to James Cummings James Cummings (= 1×) peers Ole Martin Smedstad

Countries citing papers authored by James Cummings

Since Specialization
Citations

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

Fields of papers citing papers by James Cummings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Cummings

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

All Works

20 of 20 papers shown
1.
2.
Sampson, Charles R., et al.. (2022). An Upper Ocean Thermal Field Metrics Dataset. MDPI (MDPI AG). 1(3). 327–340. 3 indexed citations
3.
Chen, Sue, James Cummings, Jerome M. Schmidt, Elizabeth R. Sanabia, & Steven R. Jayne. (2017). Targeted ocean sampling guidance for tropical cyclones. Journal of Geophysical Research Oceans. 122(5). 3505–3518. 10 indexed citations
4.
Wang, Xiaohong, Gary C. Bergstrom, Shu Chen, et al.. (2017). First Report of the Soybean Cyst Nematode, Heterodera glycines, in New York. Plant Disease. 101(11). 1957–1957. 8 indexed citations
5.
Marquis, Jared W., et al.. (2016). Estimating Infrared Radiometric Satellite Sea Surface Temperature Retrieval Cold Biases in the Tropics due to Unscreened Optically Thin Cirrus Clouds. Journal of Atmospheric and Oceanic Technology. 34(2). 355–373. 17 indexed citations
6.
Chen, Sue, Maria Flatau, Tommy G. Jensen, et al.. (2015). A Study of CINDY/DYNAMO MJO Suppressed Phase. Journal of the Atmospheric Sciences. 72(10). 3755–3779. 32 indexed citations
7.
Frolov, Sergey, Craig H. Bishop, Teddy Holt, James Cummings, & David D. Kuhl. (2015). Facilitating Strongly Coupled Ocean–Atmosphere Data Assimilation with an Interface Solver. Monthly Weather Review. 144(1). 3–20. 42 indexed citations
8.
Cummings, James & Ole Martin Smedstad. (2014). Ocean Data Impacts in Global HYCOM*. Journal of Atmospheric and Oceanic Technology. 31(8). 1771–1791. 49 indexed citations
9.
Westphal, Douglas L., James R. Campbell, James Cummings, et al.. (2014). Sensitivity of infrared sea surface temperature retrievals to the vertical distribution of airborne dust aerosol. Remote Sensing of Environment. 159. 1–13. 13 indexed citations
10.
Martin, Matthew, Prasanjit Dash, Alexander Ignatov, et al.. (2012). Group for High Resolution Sea Surface temperature (GHRSST) analysis fields inter-comparisons. Part 1: A GHRSST multi-product ensemble (GMPE). Deep Sea Research Part II Topical Studies in Oceanography. 77-80. 21–30. 135 indexed citations
11.
Knaff, John A., Mark DeMaria, Charles R. Sampson, et al.. (2012). Upper Oceanic Energy Response to Tropical Cyclone Passage. Journal of Climate. 26(8). 2631–2650. 45 indexed citations
12.
Srinivasan, Ashwanth, Eric P. Chassignet, Laurent Bertino, et al.. (2011). A comparison of sequential assimilation schemes for ocean prediction with the HYbrid Coordinate Ocean Model (HYCOM): Twin experiments with static forecast error covariances. Ocean Modelling. 37(3-4). 85–111. 26 indexed citations
13.
Hébert, David, E. Joseph Metzger, Alan J. Wallcraft, et al.. (2011). Real-time Data Assimilation of satellite derived ice concentration into the Arctic Cap Nowcast/Forecast System (ACNFS). 1–4. 3 indexed citations
14.
Hogan, Patrick, et al.. (2009). Global Ocean Prediction with the Hybrid Coordinate Ocean Model. EGU General Assembly Conference Abstracts. 13954. 3 indexed citations
15.
Halliwell, George R., et al.. (2009). Impact of GODAE products on nested HYCOM simulations of the West Florida Shelf. Ocean Dynamics. 59(1). 139–155. 32 indexed citations
16.
Gentemann, Chelle, Joseph Sienkiewicz, Mark DeMaria, et al.. (2009). The Multi-Sensor Improved Sea Surface Temperature (MISST) Project. Oceanography. 22(2). 76–87. 30 indexed citations
17.
Hurlburt, Harley E., Yann Drillet, Gary B. Brassington, et al.. (2008). 3.1 Global High Resolution Analyses and Forecasts at the Mesoscale. 1 indexed citations
18.
Wittmann, Paul A. & James Cummings. (2005). Assimilation of Altimeter Wave Measurements into Wavewatch III. Bulletin du Cancer. 72(5). 379–466. 9 indexed citations
19.
Hodur, Richard M., Xiaodong Hong, James D. Doyle, et al.. (2002). The Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). Oceanography. 15(1). 88–98. 88 indexed citations
20.
Phoebus, Patricia A. & James Cummings. (1995). Comparison of global sst analyses for atmospheric data assimilation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 13(6). 367–74. 1 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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