Thomas L. Clune

3.9k total citations
36 papers, 950 citations indexed

About

Thomas L. Clune is a scholar working on Atmospheric Science, Computer Networks and Communications and Global and Planetary Change. According to data from OpenAlex, Thomas L. Clune has authored 36 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 12 papers in Computer Networks and Communications and 9 papers in Global and Planetary Change. Recurrent topics in Thomas L. Clune's work include Distributed and Parallel Computing Systems (7 papers), Advanced Data Storage Technologies (6 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). Thomas L. Clune is often cited by papers focused on Distributed and Parallel Computing Systems (7 papers), Advanced Data Storage Technologies (6 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). Thomas L. Clune collaborates with scholars based in United States, Sweden and Canada. Thomas L. Clune's co-authors include Juri Toomre, Nicholas H. Brummell, Edgar Knobloch, Steven M. Tobias, M. J. Way, Richard B. Rood, D. S. Amundsen, Nancy Y. Kiang, Igor Aleinov and Anthony D. Del Genio and has published in prestigious journals such as The Astrophysical Journal, Physical Review A and The Astrophysical Journal Supplement Series.

In The Last Decade

Thomas L. Clune

33 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas L. Clune United States 14 492 299 233 157 133 36 950
B. Breech United States 14 757 1.5× 69 0.2× 229 1.0× 52 0.3× 41 0.3× 25 978
Mark Rast United States 17 655 1.3× 118 0.4× 190 0.8× 60 0.4× 21 0.2× 51 897
Burlen Loring United States 12 651 1.3× 120 0.4× 205 0.9× 104 0.7× 48 0.4× 29 894
M. G. Shnirman Russia 15 235 0.5× 126 0.4× 152 0.7× 145 0.9× 54 0.4× 72 670
John DeVore United States 9 229 0.5× 554 1.9× 24 0.1× 549 3.5× 52 0.4× 19 929
Shin‐ichi Takehiro Japan 15 272 0.6× 200 0.7× 250 1.1× 64 0.4× 18 0.1× 51 548
P. Giuliani Italy 10 304 0.6× 63 0.2× 133 0.6× 94 0.6× 27 0.2× 12 605
Xavier Lapillonne Switzerland 14 580 1.2× 365 1.2× 9 0.0× 313 2.0× 96 0.7× 29 1.2k
Paola De Michelis Italy 23 1.1k 2.2× 143 0.5× 806 3.5× 53 0.3× 13 0.1× 122 1.5k

Countries citing papers authored by Thomas L. Clune

Since Specialization
Citations

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

Fields of papers citing papers by Thomas L. Clune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas L. Clune

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas L. Clune. A scholar is included among the top collaborators of Thomas L. Clune 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 L. Clune. Thomas L. Clune 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.
Clune, Thomas L., Leslie R. Lait, Matthias Zwicker, et al.. (2023). Using XR for Improving Scientific Discovery with Numerical Weather Models. Maryland Shared Open Access Repository (USMAI Consortium). 1537–1540.
2.
Way, M. J., Nikolaos Georgakarakos, & Thomas L. Clune. (2023). Exploring Climate with Obliquity in a Variable-eccentricity Earth-like World. The Astronomical Journal. 166(6). 227–227. 4 indexed citations
3.
Martin, Randall V., Sebastian D. Eastham, Liam Bindle, et al.. (2022). Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP). Geoscientific model development. 15(23). 8731–8748. 20 indexed citations
4.
Bindle, Liam, Randall V. Martin, Matthew Cooper, et al.. (2021). Grid-stretching capability for the GEOS-Chem 13.0.0 atmospheric chemistry model. Geoscientific model development. 14(10). 5977–5997. 26 indexed citations
5.
Munchak, S. Joseph, Kwo‐Sen Kuo, Craig Pelissier, et al.. (2019). Active and Passive Radiative Transfer Simulations for GPM-Related Field Campaigns. 4553–4556. 1 indexed citations
6.
Genio, Anthony D. Del, M. J. Way, D. S. Amundsen, et al.. (2018). Habitable Climate Scenarios for Proxima Centauri b with a Dynamic Ocean. Astrobiology. 19(1). 99–125. 65 indexed citations
7.
Eastham, Sebastian D., M. S. Long, Christoph A. Keller, et al.. (2018). GEOS-Chem High Performance (GCHP v11-02c): a next-generation implementation of the GEOS-Chem chemical transport model for massively parallel applications. Geoscientific model development. 11(7). 2941–2953. 74 indexed citations
8.
Way, M. J., Igor Aleinov, D. S. Amundsen, et al.. (2017). Resolving Orbital and Climate Keys of Earth and Extraterrestrial Environments with Dynamics (ROCKE-3D) 1.0: A General Circulation Model for Simulating the Climates of Rocky Planets. The Astrophysical Journal Supplement Series. 231(1). 12–12. 77 indexed citations
9.
Rilee, M. L., Kwo‐Sen Kuo, Thomas L. Clune, et al.. (2016). Addressing the big-earth-data variety challenge with the hierarchical triangular mesh. NASA STI Repository (National Aeronautics and Space Administration). 33. 1006–1011. 8 indexed citations
10.
11.
Oloso, Amidu, Kwo‐Sen Kuo, Thomas L. Clune, et al.. (2016). Implementing connected component labeling as a user defined operator for SciDB. NASA STI Repository (National Aeronautics and Space Administration). 2948–2952. 4 indexed citations
12.
Das, Kunal, et al.. (2015). Evaluation of Big Data Containers for Popular Storage, Retrieval, and Computation Primitives in Earth Science Analysis. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
13.
Rilee, M. L. & Thomas L. Clune. (2014). Towards Test Driven Development for Computational Science with pFUnit. 20–27. 12 indexed citations
14.
Duffy, Daniel Q., et al.. (2011). Preliminary Evaluation of MapReduce for High-Performance Climate Data Analysis. NASA STI Repository (National Aeronautics and Space Administration). 2011. 2 indexed citations
15.
Clune, Thomas L. & Richard B. Rood. (2011). Software Testing and Verification in Climate Model Development. IEEE Software. 28(6). 49–55. 34 indexed citations
16.
Zhou, Shujia, Daniel Q. Duffy, Thomas L. Clune, et al.. (2009). The impact of IBM Cell technology on the programming paradigm in the context of computer systems for climate and weather models. Concurrency and Computation Practice and Experience. 21(17). 2176–2186. 5 indexed citations
17.
Guo, Jing, et al.. (2004). The Computational Complexity and Parallel Scalability of Atmospheric Data Assimilation Algorithms. Journal of Atmospheric and Oceanic Technology. 21(11). 1689–1700. 6 indexed citations
18.
Glatzmaier, G. A. & Thomas L. Clune. (2000). Computational aspects of geodynamo simulations. Computing in Science & Engineering. 2(3). 61–67. 4 indexed citations
19.
Tobias, Steven M., Nicholas H. Brummell, Thomas L. Clune, & Juri Toomre. (1998). Pumping of Magnetic Fields by Turbulent Penetrative Convection. The Astrophysical Journal. 502(2). L177–L180. 87 indexed citations
20.
Clune, Thomas L. & Edgar Knobloch. (1992). Mean flow suppression by endwalls in oscillatory binary fluid convection. Physica D Nonlinear Phenomena. 61(1-4). 106–112. 18 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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