Čedo Branković

4.1k total citations
47 papers, 2.2k citations indexed

About

Čedo Branković is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Čedo Branković has authored 47 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atmospheric Science, 41 papers in Global and Planetary Change and 15 papers in Oceanography. Recurrent topics in Čedo Branković's work include Climate variability and models (41 papers), Meteorological Phenomena and Simulations (38 papers) and Atmospheric and Environmental Gas Dynamics (12 papers). Čedo Branković is often cited by papers focused on Climate variability and models (41 papers), Meteorological Phenomena and Simulations (38 papers) and Atmospheric and Environmental Gas Dynamics (12 papers). Čedo Branković collaborates with scholars based in United Kingdom, Croatia and Italy. Čedo Branković's co-authors include T. N. Palmer, David Richardson, Franco Molteni, Stefano Tibaldi, Laura Ferranti, Pedro Viterbo, M. J. Miller, Ulrich Cubasch, Ivan Güttler and Ivana Herceg Bulić and has published in prestigious journals such as Nature, Journal of Climate and Monthly Weather Review.

In The Last Decade

Čedo Branković

47 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Čedo Branković United Kingdom 24 2.0k 1.9k 527 133 112 47 2.2k
Timothy E. LaRow United States 12 1.3k 0.7× 1.3k 0.7× 364 0.7× 193 1.5× 165 1.5× 14 1.6k
Mio Matsueda Japan 19 1.6k 0.8× 1.6k 0.8× 285 0.5× 89 0.7× 114 1.0× 45 1.8k
Craig MacLachlan United Kingdom 25 2.2k 1.1× 2.0k 1.1× 757 1.4× 129 1.0× 82 0.7× 39 2.4k
Gary M. Lackmann United States 30 2.3k 1.2× 2.6k 1.4× 566 1.1× 142 1.1× 50 0.4× 89 2.8k
Junichi Tsutsui Japan 13 1.6k 0.8× 1.6k 0.8× 526 1.0× 101 0.8× 86 0.8× 31 2.0k
Virginie Guémas France 26 1.8k 0.9× 1.8k 1.0× 633 1.2× 81 0.6× 52 0.5× 66 2.2k
Steven L. Mullen United States 26 2.2k 1.1× 2.2k 1.2× 319 0.6× 219 1.6× 116 1.0× 47 2.4k
Sajani Surendran India 12 1.6k 0.8× 1.5k 0.8× 266 0.5× 222 1.7× 193 1.7× 27 1.9k
Mischa Croci‐Maspoli Switzerland 23 2.1k 1.1× 2.1k 1.1× 315 0.6× 66 0.5× 87 0.8× 32 2.4k
J. Done United States 24 1.9k 1.0× 1.7k 0.9× 258 0.5× 204 1.5× 215 1.9× 79 2.3k

Countries citing papers authored by Čedo Branković

Since Specialization
Citations

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

Fields of papers citing papers by Čedo Branković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Čedo Branković

This figure shows the co-authorship network connecting the top 25 collaborators of Čedo Branković. A scholar is included among the top collaborators of Čedo Branković 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 Čedo Branković. Čedo Branković 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.
Güttler, Ivan, et al.. (2020). Performance of RegCM4 simulations over Croatia and adjacent climate regions. International Journal of Climatology. 40(14). 5843–5862. 3 indexed citations
2.
Bulić, Ivana Herceg, Čedo Branković, & Fred Kucharski. (2011). Winter ENSO teleconnections in a warmer climate. Climate Dynamics. 38(7-8). 1593–1613. 39 indexed citations
3.
Branković, Čedo, et al.. (2008). Downscaling of ECMWF Ensemble Forecasts for Cases of Severe Weather: Ensemble Statistics and Cluster Analysis. Monthly Weather Review. 136(9). 3323–3342. 20 indexed citations
4.
Branković, Čedo, et al.. (2007). Dynamical downscaling of ECMWF EPS forecasts applied to cases of severe weather in Croatia. European Centre for Medium-Range Weather Forecasts. 1 indexed citations
5.
Branković, Čedo, Mirta Patarčić, & Lidija Srnec. (2004). Seasonal dynamical downscaling with ERA-40 data: A sensitivity study. 39. 15–39. 3 indexed citations
6.
Branković, Čedo & Franco Molteni. (2004). Seasonal climate and variability of the ECMWF ERA-40 model. Climate Dynamics. 22(2-3). 139–155. 18 indexed citations
7.
Sperber, Kenneth R., Čedo Branković, Michel Déqué, et al.. (2001). Dynamical Seasonal Predictability of the Asian Summer Monsoon. Monthly Weather Review. 129(9). 2226–2248. 104 indexed citations
8.
Shukla, J., L. Marx, D. A. Paolino, et al.. (2000). Dynamical Seasonal Prediction. Bulletin of the American Meteorological Society. 81(11). 2593–2606. 254 indexed citations
9.
Palmer, T. N., Čedo Branković, & David Richardson. (2000). A probability and decision-model analysis of PROVOST seasonal multi-model ensemble integrations. Quarterly Journal of the Royal Meteorological Society. 126(567). 2013–2033. 117 indexed citations
10.
Molteni, Franco, et al.. (2000). Predictability of snow-depth anomalies over Eurasia and associated circulation patterns. Quarterly Journal of the Royal Meteorological Society. 126(562). 241–262. 9 indexed citations
11.
Pavan, Valentina, Franco Molteni, & Čedo Branković. (2000). Wintertime variability in the Euro‐Atlantic region in observations and in ECMWF seasonal ensemble experiments. Quarterly Journal of the Royal Meteorological Society. 126(567). 2143–2173. 22 indexed citations
12.
Pavan, Valentina, Stefano Tibaldi, & Čedo Branković. (2000). Seasonal prediction of blocking frequency: Results from winter ensemble experiments. Quarterly Journal of the Royal Meteorological Society. 126(567). 2125–2142. 29 indexed citations
13.
Branković, Čedo & T. N. Palmer. (2000). Seasonal skill and predictability of ECMWF PROVOST ensembles. Quarterly Journal of the Royal Meteorological Society. 126(567). 2035–2067. 91 indexed citations
14.
Molteni, Franco, et al.. (2000). Predictability of snow‐depth anomalies over Eurasia and associated circulation patterns. Quarterly Journal of the Royal Meteorological Society. 126(562). 241–262. 34 indexed citations
15.
Branković, Čedo & T. N. Palmer. (2000). Seasonal skill and predictability of ECMWF PROVOST ensembles. Quarterly Journal of the Royal Meteorological Society. 126(567). 2035–2067. 60 indexed citations
16.
Palmer, T. N., Čedo Branković, & David Richardson. (2000). A probability and decision‐model analysis of PROVOST seasonal multi‐model ensemble integrations. Quarterly Journal of the Royal Meteorological Society. 126(567). 2013–2033. 159 indexed citations
17.
Branković, Čedo & T. N. Palmer. (1997). Atmospheric Seasonal Predictability and Estimates of Ensemble Size. Monthly Weather Review. 125(5). 859–874. 96 indexed citations
18.
Branković, Čedo, T. N. Palmer, & Laura Ferranti. (1994). Predictability of Seasonal Atmospheric Variations. Journal of Climate. 7(2). 217–237. 125 indexed citations
19.
Ferranti, Laura, Franco Molteni, Čedo Branković, & T. N. Palmer. (1994). Diagnosis of Extratropical Variability in Seasonal Integrations of the ECMWF Model. Journal of Climate. 7(6). 849–868. 23 indexed citations
20.
Tibaldi, Stefano, T. N. Palmer, Čedo Branković, & Ulrich Cubasch. (1990). Extended‐range predictions with ecmwf models: Influence of horizontal resolution on systematic error and forecast skill. Quarterly Journal of the Royal Meteorological Society. 116(494). 835–866. 61 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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