Branko Kosović

7.2k total citations
140 papers, 4.5k citations indexed

About

Branko Kosović is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Branko Kosović has authored 140 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Atmospheric Science, 74 papers in Global and Planetary Change and 65 papers in Environmental Engineering. Recurrent topics in Branko Kosović's work include Meteorological Phenomena and Simulations (76 papers), Wind and Air Flow Studies (60 papers) and Climate variability and models (27 papers). Branko Kosović is often cited by papers focused on Meteorological Phenomena and Simulations (76 papers), Wind and Air Flow Studies (60 papers) and Climate variability and models (27 papers). Branko Kosović collaborates with scholars based in United States, Spain and Denmark. Branko Kosović's co-authors include Jeffrey D. Mirocha, Julie K. Lundquist, Domingo Muñoz‐Esparza, Judith A. Curry, Ravi Samtaney, D. I. Pullin, Sue Ellen Haupt, Jeroen van Beeck, Fotini Katopodes Chow and Pedro A. Jiménez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Journal of Fluid Mechanics.

In The Last Decade

Branko Kosović

131 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Branko Kosović United States 36 2.5k 2.3k 1.8k 1.5k 975 140 4.5k
John Michalakes United States 25 2.2k 0.9× 1.3k 0.5× 1.7k 0.9× 747 0.5× 1.5k 1.5× 50 4.3k
Julie K. Lundquist United States 49 3.4k 1.3× 4.2k 1.8× 2.4k 1.3× 1.4k 1.0× 3.5k 3.6× 199 7.1k
Sukanta Basu United States 27 1.4k 0.6× 1.1k 0.5× 1.1k 0.6× 623 0.4× 491 0.5× 155 2.7k
Jakob Mann Denmark 43 2.0k 0.8× 4.4k 1.9× 1.7k 0.9× 2.4k 1.6× 3.8k 3.9× 250 7.0k
Søren Ejling Larsen Denmark 31 1.4k 0.6× 1.4k 0.6× 998 0.5× 574 0.4× 1.4k 1.4× 100 3.7k
Alfredo Peña Denmark 34 1.3k 0.5× 1.8k 0.8× 658 0.4× 627 0.4× 2.1k 2.1× 149 3.5k
Robert M. Banta United States 46 5.0k 2.0× 3.0k 1.3× 4.2k 2.3× 881 0.6× 852 0.9× 120 6.6k
Eugene Yee Canada 31 649 0.3× 2.1k 0.9× 617 0.3× 1.1k 0.7× 623 0.6× 157 3.6k
Harm J. J. Jonker Netherlands 34 2.2k 0.9× 1.1k 0.5× 2.1k 1.2× 901 0.6× 156 0.2× 86 3.3k
Jørgen Højstrup Denmark 24 839 0.3× 1.5k 0.7× 538 0.3× 651 0.4× 1.8k 1.9× 52 3.0k

Countries citing papers authored by Branko Kosović

Since Specialization
Citations

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

Fields of papers citing papers by Branko Kosović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Branko Kosović

This figure shows the co-authorship network connecting the top 25 collaborators of Branko Kosović. A scholar is included among the top collaborators of Branko Kosović 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 Branko Kosović. Branko Kosović 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.
Alipour, Mohamad, Eric Rowell, Bharathan Balaji, et al.. (2025). Wildfire Fuels Mapping through Artificial Intelligence-based Methods: A Review. Earth-Science Reviews. 262. 105064–105064. 2 indexed citations
2.
Frediani, Maria, Timothy W. Juliano, Hamed Ebrahimian, et al.. (2025). Modeling Firebrand Spotting in WRF-Fire for Coupled Fire–Weather Prediction. Fire. 8(10). 374–374.
3.
Almgren, Ann, Eliot Quon, Branko Kosović, et al.. (2025). ERF: Energy Research and Forecasting Model. Journal of Advances in Modeling Earth Systems. 17(11).
4.
Geerts, Bart, et al.. (2024). Characterizing Mesoscale Cellular Convection in Marine Cold Air Outbreaks With a Machine Learning Approach. Journal of Geophysical Research Atmospheres. 129(14). 2 indexed citations
5.
Juliano, Timothy W., Neil P. Lareau, Branko Kosović, et al.. (2024). Brief communication: The Lahaina Fire disaster – how models can be used to understand and predict wildfires. Natural hazards and earth system sciences. 24(1). 47–52. 7 indexed citations
6.
Jonko, Alexandra, et al.. (2024). Impact of Momentum Perturbation on Convective Boundary Layer Turbulence. Journal of Advances in Modeling Earth Systems. 16(2). 2 indexed citations
7.
Hendricks, Eric A., Christopher M. Rozoff, Matthew Churchfield, et al.. (2024). Modeling and observations of North Atlantic cyclones: Implications for U.S. Offshore wind energy. Journal of Renewable and Sustainable Energy. 16(5). 4 indexed citations
8.
Geerts, Bart, et al.. (2023). Vertical Structure of Clouds and Precipitation During Arctic Cold‐Air Outbreaks and Warm‐Air Intrusions: Observations From COMBLE. Journal of Geophysical Research Atmospheres. 128(13). 12 indexed citations
9.
Almgren, Ann, Branko Kosović, Jeffrey D. Mirocha, et al.. (2023). ERF: Energy Research and Forecasting. The Journal of Open Source Software. 8(87). 5202–5202. 5 indexed citations
10.
Schreck, John S., Pedro A. Jiménez, Jason C. Knievel, et al.. (2023). Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management. Remote Sensing. 15(13). 3372–3372. 6 indexed citations
11.
Alipour, Mohamad, Inga P. La Puma, Joshua J. Picotte, et al.. (2023). A Multimodal Data Fusion and Deep Learning Framework for Large-Scale Wildfire Surface Fuel Mapping. Fire. 6(2). 36–36. 24 indexed citations
12.
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
13.
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
14.
Kosović, Branko. (2020). Machine learning models for replacing Monin Obukhov similarity theory based surface layer parameterization.
15.
Gagne, David John, Tyler McCandless, Branko Kosović, et al.. (2019). Machine Learning Parameterization of the Surface Layer: Bridging the Observation-Modeling Gap. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
16.
Brown, Barry, et al.. (2018). Description and evaluation of the Colorado Fire Prediction system (CO-FPS). AGU Fall Meeting Abstracts. 2018. 1 indexed citations
17.
Haupt, Sue Ellen, John K. Williams, Julia M. Pearson, et al.. (2017). Blending distributed photovoltaic and demand load forecasts. Solar Energy. 157. 542–551. 23 indexed citations
18.
Kosović, Branko, et al.. (2017). Recent developments and assessment of a three-dimensional PBL parameterization for improved wind forecasting over complex terrain. AGUFM. 2017. 2 indexed citations
19.
Haupt, Sue Ellen, Branko Kosović, & William J. Shaw. (2017). The US DOE A2e Mesoscale to Microscale Coupling Project: Nonstationary Modeling Techniques and Assessment. EGU General Assembly Conference Abstracts. 10770. 1 indexed citations
20.
Kosović, Branko. (2016). Improving Spectral Resolution of Finite Difference Schemes for Multiscale Modeling Applications Using Numerical Weather Prediction Model. 3 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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