John D. Farrara

2.4k total citations
76 papers, 1.7k citations indexed

About

John D. Farrara is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, John D. Farrara has authored 76 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Atmospheric Science, 45 papers in Global and Planetary Change and 35 papers in Oceanography. Recurrent topics in John D. Farrara's work include Climate variability and models (35 papers), Oceanographic and Atmospheric Processes (32 papers) and Meteorological Phenomena and Simulations (30 papers). John D. Farrara is often cited by papers focused on Climate variability and models (35 papers), Oceanographic and Atmospheric Processes (32 papers) and Meteorological Phenomena and Simulations (30 papers). John D. Farrara collaborates with scholars based in United States, United Kingdom and Japan. John D. Farrara's co-authors include Carlos R. Mechoso, Yi Chao, Zhijin Li, James C. McWilliams, Andrew W. Robertson, Kayo Ide, G. L. Manney, Jin‐Won Kim, Norman L. Miller and Jin‐Yi Yu and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and Journal of Climate.

In The Last Decade

John D. Farrara

73 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John D. Farrara United States 25 992 952 838 138 106 76 1.7k
Anthony P Craig United States 25 1.6k 1.6× 1.5k 1.5× 798 1.0× 93 0.7× 58 0.5× 55 2.4k
Igor Shulman United States 22 504 0.5× 532 0.6× 1.1k 1.4× 185 1.3× 178 1.7× 59 1.5k
Charles Doutriaux United States 22 3.0k 3.0× 2.7k 2.8× 422 0.5× 100 0.7× 41 0.4× 38 3.6k
D. W. Hancock United States 17 521 0.5× 1.1k 1.2× 691 0.8× 316 2.3× 104 1.0× 42 2.3k
Hung‐Chi Kuo Taiwan 29 1.7k 1.7× 2.1k 2.2× 767 0.9× 79 0.6× 20 0.2× 85 2.4k
Jens Nieke Netherlands 18 552 0.6× 531 0.6× 400 0.5× 522 3.8× 75 0.7× 89 1.7k
Hiroshi Koide Japan 15 1.6k 1.7× 1.7k 1.8× 545 0.7× 40 0.3× 11 0.1× 48 2.1k
Laure Zanna United States 27 1.9k 1.9× 1.6k 1.7× 1.7k 2.1× 98 0.7× 74 0.7× 89 2.8k
Ralph F. Milliff United States 22 1.5k 1.5× 1.5k 1.5× 1.7k 2.1× 85 0.6× 51 0.5× 52 2.4k
Victor Zlotnicki United States 23 830 0.8× 523 0.5× 1.8k 2.1× 64 0.5× 71 0.7× 57 2.4k

Countries citing papers authored by John D. Farrara

Since Specialization
Citations

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

Fields of papers citing papers by John D. Farrara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Farrara. 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 John D. Farrara. The network helps show where John D. Farrara may publish in the future.

Co-authorship network of co-authors of John D. Farrara

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Farrara. A scholar is included among the top collaborators of John D. Farrara 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 John D. Farrara. John D. Farrara 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.
Chien, Steve, et al.. (2018). Autonomous control of marine floats in the presence of dynamic, uncertain ocean currents. Robotics and Autonomous Systems. 108. 100–114. 9 indexed citations
2.
Chao, Yi, John D. Farrara, Eric P. Bjorkstedt, et al.. (2017). The origins of the anomalous warming in the California coastal ocean and San Francisco Bay during 2014–2016. Journal of Geophysical Research Oceans. 122(9). 7537–7557. 23 indexed citations
3.
Chao, Yi, John D. Farrara, Hongchun Zhang, et al.. (2017). Development, implementation, and validation of a California coastal ocean modeling, data assimilation, and forecasting system. Deep Sea Research Part II Topical Studies in Oceanography. 151. 49–63. 25 indexed citations
4.
Kudela, Raphael M., Clarissa R. Anderson, James M. Birch, et al.. (2015). Harmful Algal Bloom Hotspots Really Are Hot: A Case Study from Monterey Bay, California. AGU Fall Meeting Abstracts. 2015. 2 indexed citations
5.
Allison, Steven, Yi Chao, John D. Farrara, Stephen M. Hatosy, & Adam C. Martiny. (2012). Fine-Scale Temporal Variation in Marine Extracellular Enzymes of Coastal Southern California. Frontiers in Microbiology. 3. 301–301. 39 indexed citations
6.
Chao, Yi, Can Dong, John D. Farrara, et al.. (2006). Tidal Simulation Using Regional Ocean Modeling System (ROMS). ESA Special Publication. 614(614). 37. 1 indexed citations
7.
Robertson, Andrew W., John D. Farrara, & Carlos R. Mechoso. (2003). Simulations of the Atmospheric Response to South Atlantic Sea Surface Temperature Anomalies. Journal of Climate. 16(15). 2540–2551. 59 indexed citations
8.
Mechoso, Carlos R., et al.. (2002). Running a climate model in a heterogeneous, distributed computer environment. 79–84. 6 indexed citations
9.
Farrara, John D., et al.. (2002). Performance analysis and optimization on a parallel atmospheric general circulation model code. 174–180. 1 indexed citations
10.
Muntz, Richard R., et al.. (2002). Extracting spatio-temporal patterns from geoscience datasets. 92–103. 9 indexed citations
11.
Huang, Xianglei, John D. Farrara, S. S. Leroy, Yuk L. Yung, & R. M. Goody. (2002). Cloud variability as revealed in outgoing infrared spectra: Comparing model to observation with spectral EOF analysis. Geophysical Research Letters. 29(8). 16 indexed citations
12.
Miller, Norman L., Jin‐Won Kim, Robert Hartman, & John D. Farrara. (1999). DOWNSCALED CLIMATE AND STREAMFLOW STUDY OF THE SOUTHWESTERN UNITED STATES1. JAWRA Journal of the American Water Resources Association. 35(6). 1525–1537. 35 indexed citations
13.
Kim, Young‐Joon, John D. Farrara, & Carlos R. Mechoso. (1998). Sensitivity of AGCM Simulations to Modifications in the Ozone Distribution and Refinements in Selected Physical Parameterizations. Journal of the Meteorological Society of Japan Ser II. 76(5). 695–709. 10 indexed citations
14.
Mechoso, Carlos R., et al.. (1998). The UCLA AGCM in High Performance Computing Environments. Conference on High Performance Computing (Supercomputing). 1–7. 5 indexed citations
15.
Stolorz, Paul, Haruki Nakamura, Richard R. Muntz, et al.. (1995). Fast spatio-temporal data mining of large geophysical datasets. 300–305. 47 indexed citations
16.
Manney, G. L., John D. Farrara, & Carlos R. Mechoso. (1994). Simulations of the February 1979 Stratospheric Sudden Warming: Model Comparisons and Three-Dimensional Evolution. Monthly Weather Review. 122(6). 1115–1140. 31 indexed citations
17.
Farrara, John D. & Carlos R. Mechoso. (1992). Simulations of the seasonal evolution of planetary waves in the stratosphere. NASA Technical Reports Server (NASA). 34. 1–18. 1 indexed citations
18.
Mechoso, Carlos R., et al.. (1991). Distribution of a climate model across high-speed networks. 253–260. 8 indexed citations
19.
Farrara, John D., Michael Ghil, Carlos R. Mechoso, & Kingtse C. Mo. (1989). Empirical Orthogonal Functions and Multiple Flow Regimes in the Southern Hemisphere Winter. Journal of the Atmospheric Sciences. 46(20). 3219–3223. 11 indexed citations
20.
Farrara, John D. & Carlos R. Mechoso. (1986). An observational study of the final warming in the Southern Hemisphere stratosphere. Geophysical Research Letters. 13(12). 1232–1235. 23 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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