Thomas Cram

2.6k total citations
9 papers, 842 citations indexed

About

Thomas Cram is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change. According to data from OpenAlex, Thomas Cram has authored 9 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atmospheric Science, 5 papers in Oceanography and 4 papers in Global and Planetary Change. Recurrent topics in Thomas Cram's work include Tropical and Extratropical Cyclones Research (6 papers), Meteorological Phenomena and Simulations (6 papers) and Climate variability and models (4 papers). Thomas Cram is often cited by papers focused on Tropical and Extratropical Cyclones Research (6 papers), Meteorological Phenomena and Simulations (6 papers) and Climate variability and models (4 papers). Thomas Cram collaborates with scholars based in United States, Germany and United Kingdom. Thomas Cram's co-authors include Michael T. Montgomery, Melville E. Nicholls, Ashley B. Saunders, John Persing, Scott A. Braun, John A. Knaff, James P. Kossin, Christopher S. Velden, Richard J. Murnane and Derrick Herndon and has published in prestigious journals such as Journal of the Atmospheric Sciences, Journal of Atmospheric and Oceanic Technology and Weather and Forecasting.

In The Last Decade

Thomas Cram

9 papers receiving 821 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas Cram 818 595 421 32 28 9 842
John Persing 688 0.8× 468 0.8× 323 0.8× 40 1.3× 32 1.1× 16 708
Kate D. Musgrave 653 0.8× 465 0.8× 352 0.8× 21 0.7× 29 1.0× 23 689
Gary M. Barnes 835 1.0× 562 0.9× 355 0.8× 56 1.8× 35 1.3× 35 864
Raymond M. Zehr 1.3k 1.5× 997 1.7× 716 1.7× 38 1.2× 44 1.6× 16 1.3k
Chanh Kieu 969 1.2× 740 1.2× 421 1.0× 30 0.9× 20 0.7× 66 1.0k
Debra A. Molenar 486 0.6× 338 0.6× 277 0.7× 16 0.5× 32 1.1× 7 502
Maurizio Fantini 556 0.7× 462 0.8× 188 0.4× 34 1.1× 56 2.0× 36 652
Michelle Mainelli 1.1k 1.3× 805 1.4× 663 1.6× 21 0.7× 39 1.4× 7 1.1k
Jonathan Zawislak 888 1.1× 594 1.0× 471 1.1× 21 0.7× 33 1.2× 21 908
Kozo Ninomiya 1.1k 1.3× 1.0k 1.7× 279 0.7× 26 0.8× 22 0.8× 47 1.2k

Countries citing papers authored by Thomas Cram

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Cram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Cram

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Cram. A scholar is included among the top collaborators of Thomas Cram 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 Thomas Cram. Thomas Cram 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.
Cram, Thomas, et al.. (2022). Development of a Cloud-based Data Match-Up Service (CDMS) in Support of Ocean Science Applications. OCEANS 2022, Hampton Roads. 1–6. 3 indexed citations
2.
Liu, Chun‐Ying, Eric Freeman, Elizabeth C. Kent, et al.. (2022). Blending TAC and BUFR Marine In Situ Data for ICOADS Near-Real-Time Release 3.0.2. Journal of Atmospheric and Oceanic Technology. 39(12). 1943–1959. 7 indexed citations
3.
Freeman, Eric, Elizabeth C. Kent, Philip Brohan, et al.. (2019). The International Comprehensive Ocean-Atmosphere Data Set – Meeting Users Needs and Future Priorities. Frontiers in Marine Science. 6. 18 indexed citations
4.
Armstrong, Edward, Mark A. Bourassa, Thomas Cram, et al.. (2019). An Integrated Data Analytics Platform. Frontiers in Marine Science. 6. 4 indexed citations
5.
Knaff, John A., Thomas Cram, Andrea Schumacher, James P. Kossin, & Mark DeMaria. (2008). Objective Identification of Annular Hurricanes. Weather and Forecasting. 23(1). 17–28. 27 indexed citations
6.
Kossin, James P., John A. Knaff, Derrick Herndon, et al.. (2007). Estimating Hurricane Wind Structure in the Absence of Aircraft Reconnaissance. Weather and Forecasting. 22(1). 89–101. 145 indexed citations
7.
Cram, Thomas, John Persing, Michael T. Montgomery, & Scott A. Braun. (2007). A Lagrangian Trajectory View on Transport and Mixing Processes between the Eye, Eyewall, and Environment Using a High-Resolution Simulation of Hurricane Bonnie (1998). Journal of the Atmospheric Sciences. 64(6). 1835–1856. 136 indexed citations
8.
Montgomery, Michael T., Melville E. Nicholls, Thomas Cram, & Ashley B. Saunders. (2006). A Vortical Hot Tower Route to Tropical Cyclogenesis. Journal of the Atmospheric Sciences. 63(1). 355–386. 486 indexed citations
9.
Cram, Thomas, Michael T. Montgomery, & Rolf Hertenstein. (2002). Early Evolution of Vertical Vorticity in a Numerically Simulated Idealized Convective Line. Journal of the Atmospheric Sciences. 59(13). 2113–2127. 16 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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