Daniel Martínez-Castro

3.0k total citations · 1 hit paper
53 papers, 1.5k citations indexed

About

Daniel Martínez-Castro is a scholar working on Atmospheric Science, Global and Planetary Change and Development. According to data from OpenAlex, Daniel Martínez-Castro has authored 53 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Atmospheric Science, 38 papers in Global and Planetary Change and 3 papers in Development. Recurrent topics in Daniel Martínez-Castro's work include Meteorological Phenomena and Simulations (34 papers), Climate variability and models (22 papers) and Precipitation Measurement and Analysis (20 papers). Daniel Martínez-Castro is often cited by papers focused on Meteorological Phenomena and Simulations (34 papers), Climate variability and models (22 papers) and Precipitation Measurement and Analysis (20 papers). Daniel Martínez-Castro collaborates with scholars based in Peru, Cuba and Italy. Daniel Martínez-Castro's co-authors include Yamina Silva, Aldo S. Moya-Álvarez, Shailendra Kumar, Filippo Giorgi, Rosmeri Porfírio da Rocha, Noah S. Diffenbaugh, Moetasim Ashfaq, Allison L. Steiner, Jeremy S. Pal and Xunqiang Bi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Pollution and Bulletin of the American Meteorological Society.

In The Last Decade

Daniel Martínez-Castro

47 papers receiving 1.4k citations

Hit Papers

Regional Climate Modeling for the Developing World: The I... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Martínez-Castro Peru 18 1.3k 1.2k 110 97 87 53 1.5k
Armelle Reca Remedio Germany 17 980 0.8× 779 0.7× 113 1.0× 131 1.4× 62 0.7× 30 1.2k
F. S. Syed Pakistan 15 1.4k 1.1× 1.2k 1.0× 159 1.4× 156 1.6× 79 0.9× 21 1.6k
G. T. Diro Canada 21 1.2k 0.9× 911 0.8× 176 1.6× 190 2.0× 110 1.3× 39 1.4k
R. Bhatla India 20 1.1k 0.9× 902 0.8× 97 0.9× 162 1.7× 124 1.4× 118 1.3k
Sandeep Sahany India 20 897 0.7× 728 0.6× 131 1.2× 82 0.8× 80 0.9× 56 1.1k
R Francisco Italy 7 1.4k 1.1× 1.1k 1.0× 210 1.9× 148 1.5× 63 0.7× 10 1.6k
A. van Ulden Netherlands 10 1.1k 0.9× 825 0.7× 232 2.1× 86 0.9× 91 1.0× 11 1.3k
Amin Dezfuli United States 19 860 0.7× 657 0.6× 117 1.1× 83 0.9× 106 1.2× 33 1.1k
K. Rupa Kumar India 16 966 0.8× 780 0.7× 80 0.7× 194 2.0× 97 1.1× 21 1.1k
S. S. Sabade India 15 1.0k 0.8× 875 0.7× 81 0.7× 139 1.4× 72 0.8× 18 1.1k

Countries citing papers authored by Daniel Martínez-Castro

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Martínez-Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Martínez-Castro. 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 Daniel Martínez-Castro. The network helps show where Daniel Martínez-Castro may publish in the future.

Co-authorship network of co-authors of Daniel Martínez-Castro

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Martínez-Castro. A scholar is included among the top collaborators of Daniel Martínez-Castro 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 Daniel Martínez-Castro. Daniel Martínez-Castro 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.
Salas, Luis, et al.. (2024). Atmospheric black carbon observations and its valley-mountain dynamics: Eastern cordillera of the central Andes of Peru. Environmental Pollution. 355. 124089–124089. 2 indexed citations
3.
Kumar, Shailendra, et al.. (2024). Hydrometeors Distribution in Intense Precipitating Cloud Cells Over the Earth’s During Two Rainfall Seasons. Journal of the Indian Society of Remote Sensing. 52(1). 95–111. 2 indexed citations
4.
Kumar, Shailendra, et al.. (2023). Characteristics of cloud properties over South America and over Andes observed using CloudSat and reanalysis data. International Journal of Remote Sensing. 44(6). 1976–2004. 4 indexed citations
5.
Martínez-Castro, Daniel, et al.. (2022). Summertime precipitation extremes and the influence of atmospheric flows on the western slopes of the southern Andes of Perú. International Journal of Climatology. 42(16). 9909–9930. 2 indexed citations
6.
Silva, Yamina, Luis Salas, René Estevan, et al.. (2021). Analysis of Extreme Meteorological Events in the Central Andes of Peru Using a Set of Specialized Instruments. Atmosphere. 12(3). 408–408. 7 indexed citations
8.
Martínez-Castro, Daniel, et al.. (2020). Dataset on raindrop size distribution, raindrop fall velocity and precipitation data measured by disdrometers and rain gauges over Peruvian central Andes (12.0°S). SHILAP Revista de lepidopterología. 29. 105215–105215. 6 indexed citations
10.
Martínez-Castro, Daniel, et al.. (2019). The Impact of Microphysics Parameterization in the Simulation of Two Convective Rainfall Events over the Central Andes of Peru Using WRF-ARW. Atmosphere. 10(8). 442–442. 34 indexed citations
11.
Martínez-Castro, Daniel, et al.. (2019). Diurnal Cycle of Raindrops Size Distribution in a Valley of the Peruvian Central Andes. Atmosphere. 11(1). 38–38. 16 indexed citations
12.
Martínez-Castro, Daniel, et al.. (2019). Study of convective storms in the Peruvian central Andes using PR-TRMM and KuPR-GPM radars. 25(1). 59–75. 3 indexed citations
13.
Martínez-Castro, Daniel, et al.. (2019). Estudio de tormentas convectivas sobre los Andes Centrales del Perú usando los radares PR-TRMM y KuPR-GPM. 25(1). 59–75. 6 indexed citations
14.
Martínez-Castro, Daniel, et al.. (2016). Performance of RegCM-4.3 over the Caribbean region using different configurations of the Tiedtke convective parameterization scheme. 77–98. 4 indexed citations
15.
Sandoval, Luis, et al.. (2016). Unusual records of waterbirds in Costa Rice: possible connection to El Niño 2015-2016. Marine ornithology. 44. 167–169. 1 indexed citations
16.
Vichot‐Llano, Alejandro, et al.. (2014). Sensibilidad al cambio de dominio y resolución de tres configuraciones del modelo climático regional RegCM 4.3 para la región de América Central y el Caribe. 45–62. 4 indexed citations
17.
Bezanilla‐Morlot, Arnoldo, et al.. (2011). Predicción del oleaje en presencia de los huracanes "Iván" y "Paloma", mediante el empleo de la combinación de los modelos numéricos MM5V3-WW3. SHILAP Revista de lepidopterología. 17(2). 39–48. 1 indexed citations
18.
Martínez-Castro, Daniel, et al.. (2011). Programa de incremento artificial de la lluvia por siembra de nubes. Logros y dificultades en el período 2005-2010. SHILAP Revista de lepidopterología. 17(2). 3–23. 1 indexed citations
19.
Martínez-Castro, Daniel, et al.. (2002). Caracterización estadística de los perfiles meteorológicos de Camagüey en horas de la tarde y su relación con la lluvia.. SHILAP Revista de lepidopterología. 9(1). 1 indexed citations
20.
Martínez-Castro, Daniel, et al.. (1999). Raindrop size distributions in convective clouds over Cuba. Atmospheric Research. 52(3). 221–239. 12 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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