James O. Pinto

4.1k total citations · 1 hit paper
69 papers, 2.5k citations indexed

About

James O. Pinto is a scholar working on Atmospheric Science, Global and Planetary Change and Aerospace Engineering. According to data from OpenAlex, James O. Pinto has authored 69 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Atmospheric Science, 43 papers in Global and Planetary Change and 13 papers in Aerospace Engineering. Recurrent topics in James O. Pinto's work include Meteorological Phenomena and Simulations (42 papers), Climate variability and models (22 papers) and Atmospheric aerosols and clouds (17 papers). James O. Pinto is often cited by papers focused on Meteorological Phenomena and Simulations (42 papers), Climate variability and models (22 papers) and Atmospheric aerosols and clouds (17 papers). James O. Pinto collaborates with scholars based in United States, United Kingdom and Germany. James O. Pinto's co-authors include Judith A. Curry, Hugh Morrison, Matthias Steiner, Andrew J. Monaghan, Daran L. Rife, Christopher A. Davis, James W. Wilson, John R. Hannan, Paul Joe and Dale Barker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

James O. Pinto

64 papers receiving 2.3k citations

Hit Papers

Use of NWP for Nowcasting Convective Precipitation: Recen... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James O. Pinto United States 28 2.2k 1.9k 297 273 126 69 2.5k
Stephen S. Weygandt United States 17 2.3k 1.1× 2.1k 1.1× 514 1.7× 168 0.6× 50 0.4× 30 2.7k
Tatiana G. Smirnova United States 18 2.6k 1.2× 2.4k 1.3× 546 1.8× 172 0.6× 59 0.5× 33 3.0k
Paul Joe Canada 26 2.1k 1.0× 1.5k 0.8× 515 1.7× 184 0.7× 36 0.3× 75 2.5k
Geoffrey S. Manikin United States 10 1.7k 0.8× 1.6k 0.8× 383 1.3× 147 0.5× 47 0.4× 18 2.1k
Jaymes S. Kenyon United States 11 1.4k 0.7× 1.3k 0.7× 332 1.1× 120 0.4× 50 0.4× 22 1.7k
Curtis R. Alexander United States 22 2.1k 1.0× 1.6k 0.9× 628 2.1× 139 0.5× 99 0.8× 56 2.4k
Matthias Steiner United States 28 3.0k 1.4× 2.1k 1.1× 879 3.0× 282 1.0× 61 0.5× 91 3.5k
Gary P. Ellrod United States 15 1.1k 0.5× 1.0k 0.5× 448 1.5× 167 0.6× 44 0.3× 26 1.4k
Daniel Weber Germany 12 1.1k 0.5× 968 0.5× 260 0.9× 96 0.4× 64 0.5× 28 1.4k
H.W.J. Russchenberg Netherlands 21 998 0.5× 617 0.3× 367 1.2× 256 0.9× 83 0.7× 130 1.3k

Countries citing papers authored by James O. Pinto

Since Specialization
Citations

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

Fields of papers citing papers by James O. Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James O. Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of James O. Pinto. A scholar is included among the top collaborators of James O. Pinto 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 O. Pinto. James O. Pinto 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.
Pinto, James O., et al.. (2025). Computational Analysis of Blended Winglet Designs to Reduce the Wake Turbulence on the Airbus A380 Wingtip. Eng—Advances in Engineering. 6(4). 68–68.
2.
Jacob, Jamey, Sean Bailey, Keith Brewster, et al.. (2024). WINDMAP: Wind Intelligent Navigation Data and Models for Aviation Planning.
3.
Jensen, Anders A., James O. Pinto, Sean Bailey, et al.. (2022). Assimilation of a Coordinated Fleet of Uncrewed Aircraft System Observations in Complex Terrain: Observing System Experiments. Monthly Weather Review. 150(10). 2737–2763. 7 indexed citations
4.
Muñoz‐Esparza, Domingo, Hyeyum Hailey Shin, Jeremy Sauer, et al.. (2021). Efficient Graphics Processing Unit Modeling of Street‐Scale Weather Effects in Support of Aerial Operations in the Urban Environment. SHILAP Revista de lepidopterología. 2(2). 10 indexed citations
5.
Pinto, James O., et al.. (2021). Real-time WRF large-eddy simulations to support uncrewed aircraft system (UAS) flight planning and operations during 2018 LAPSE-RATE. Earth system science data. 13(2). 697–711. 13 indexed citations
6.
Pinto, James O., et al.. (2021). WRF Large-Eddy Simulation Data from Realtime Runs Used to Support UAS Operations during LAPSE-RATE. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
Muñoz‐Esparza, Domingo, Jeremy Sauer, Hyeyum Hailey Shin, et al.. (2020). Inclusion of Building‐Resolving Capabilities Into the FastEddy® GPU‐LES Model Using an Immersed Body Force Method. Journal of Advances in Modeling Earth Systems. 12(11). 11 indexed citations
8.
Chilson, Phillip B., et al.. (2020). Real-time Weather Awareness for Enhanced Advanced Aerial Mobility Safety Assurance. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
10.
Steiner, Matthias, et al.. (2019). Tradeoffs for Routing Flights in View of Multiple Weather Hazards. 27(2). 70–80. 6 indexed citations
11.
Pinto, James O.. (2018). Quantifying the Relationship between Storm Size and Forecast Uncertainty for Enhanced Blending. 1 indexed citations
12.
Steiner, Matthias, et al.. (2016). Flight planning and execution with multiple weather hazards. 58(4). 16–23. 2 indexed citations
13.
Kicinger, Rafal, et al.. (2016). Airport Capacity Prediction with Explicit Consideration of Weather Forecast Uncertainty. 24(1). 18–28. 28 indexed citations
14.
Rife, Daran L., Emilie Vanvyve, James O. Pinto, et al.. (2012). Selecting Representative Days for More Efficient Dynamical Climate Downscaling: Application to Wind Energy. Journal of Applied Meteorology and Climatology. 52(1). 47–63. 20 indexed citations
15.
Monaghan, Andrew J., Daran L. Rife, James O. Pinto, Christopher A. Davis, & John R. Hannan. (2010). Global Precipitation Extremes Associated with Diurnally Varying Low-Level Jets. Journal of Climate. 23(19). 5065–5084. 61 indexed citations
16.
Morrison, Hugh, James O. Pinto, Judith A. Curry, & Greg M. McFarquhar. (2008). Sensitivity of modeled arctic mixed‐phase stratocumulus to cloud condensation and ice nuclei over regionally varying surface conditions. Journal of Geophysical Research Atmospheres. 113(D5). 85 indexed citations
17.
Pinto, James O.. (2007). Assessment of the Statistical Characteristics of Thunderstorms Simulated with the WRF Model Using Convection-Permitting Resolution. 3 indexed citations
18.
Morrison, Hugh & James O. Pinto. (2005). Mesoscale Modeling of Springtime Arctic Mixed-Phase Stratiform Clouds Using a New Two-Moment Bulk Microphysics Scheme. Journal of the Atmospheric Sciences. 62(10). 3683–3704. 141 indexed citations
19.
Pinto, James O.. (1997). Cloudy boundary layers of the arctic: Observations and modeling studies. PhDT. 3696. 1 indexed citations
20.
Pinto, James O. & Judith A. Curry. (1995). Atmospheric convective plumes emanating from leads: 2. Microphysical and radiative processes. Journal of Geophysical Research Atmospheres. 100(C3). 4633–4642. 38 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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