Roberto Cremonini

4.6k total citations
141 papers, 2.6k citations indexed

About

Roberto Cremonini is a scholar working on Plant Science, Atmospheric Science and Molecular Biology. According to data from OpenAlex, Roberto Cremonini has authored 141 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Plant Science, 40 papers in Atmospheric Science and 39 papers in Molecular Biology. Recurrent topics in Roberto Cremonini's work include Chromosomal and Genetic Variations (51 papers), Plant Genetic and Mutation Studies (29 papers) and Genetic and Environmental Crop Studies (23 papers). Roberto Cremonini is often cited by papers focused on Chromosomal and Genetic Variations (51 papers), Plant Genetic and Mutation Studies (29 papers) and Genetic and Environmental Crop Studies (23 papers). Roberto Cremonini collaborates with scholars based in Italy, United States and Finland. Roberto Cremonini's co-authors include Monica Ruffini Castiglione, M. Frediani, Lucia Giorgetti, P. G. Cionini, Gianfranco Venora, Chiara Geri, Davide Tiranti, Domenico Pignone, Simona Fratianni and Claudio Cassardo and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Agricultural and Food Chemistry.

In The Last Decade

Roberto Cremonini

137 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Cremonini Italy 26 1.3k 660 487 421 262 141 2.6k
C. Hedley United Kingdom 42 2.5k 1.9× 557 0.8× 79 0.2× 154 0.4× 479 1.8× 146 5.8k
Yidong Wang China 30 684 0.5× 436 0.7× 106 0.2× 194 0.5× 459 1.8× 151 3.3k
Albino Maggio Italy 43 5.6k 4.3× 1.3k 2.0× 128 0.3× 137 0.3× 370 1.4× 137 6.7k
Hong Zhang China 32 2.2k 1.7× 1.2k 1.8× 51 0.1× 304 0.7× 466 1.8× 245 4.1k
Zhe Liu China 26 709 0.5× 139 0.2× 91 0.2× 193 0.5× 223 0.9× 139 1.9k
Krishna N. Reddy United States 46 5.8k 4.4× 1.1k 1.7× 94 0.2× 73 0.2× 403 1.5× 295 7.6k
Xiaodong Wang China 32 2.3k 1.8× 1.3k 1.9× 73 0.1× 105 0.2× 90 0.3× 136 3.5k
Naeem Khan Pakistan 39 4.5k 3.4× 1.0k 1.6× 578 1.2× 39 0.1× 116 0.4× 189 6.1k
Vangimalla R. Reddy United States 32 3.1k 2.4× 267 0.4× 61 0.1× 367 0.9× 959 3.7× 124 4.1k

Countries citing papers authored by Roberto Cremonini

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Cremonini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Cremonini

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Cremonini. A scholar is included among the top collaborators of Roberto Cremonini 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 Roberto Cremonini. Roberto Cremonini 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.
Cremonini, Roberto, et al.. (2025). Exploring the viability of a machine learning-based multimodel for quantitative precipitation forecast post-processing. SHILAP Revista de lepidopterología. 1(1). 15011–15011. 1 indexed citations
2.
Tiranti, Davide, et al.. (2023). The Territorial Debris Flow Early Warning System of Piemonte (North-western Italy). SHILAP Revista de lepidopterología. 415. 3030–3030. 1 indexed citations
3.
Anzalone, A., М. Бертаина, Susana Briz, et al.. (2018). Methods to Retrieve the Cloud-Top Height in the Frame of the JEM-EUSO Mission. IEEE Transactions on Geoscience and Remote Sensing. 57(1). 304–318. 13 indexed citations
4.
Devoli, Graziella, et al.. (2018). Comparison of landslide forecasting services in Piedmont (Italy) and Norway, illustrated by events in late spring 2013. Natural hazards and earth system sciences. 18(5). 1351–1372. 46 indexed citations
6.
Caputo, Paolo, et al.. (2013). Karyological and molecular characterisation of subgenus Vicia (Fabaceae). Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 147(4). 1242–1252. 10 indexed citations
7.
Cremonini, Roberto, et al.. (2013). Monitoring Snowfall Events in Lombardia, Italy, by Specialized Observers Network and Advanced Remote Sensing Systems. 963–966. 1 indexed citations
8.
Castiglione, Monica Ruffini & Roberto Cremonini. (2012). fascinating island: 2n = 4. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 1 indexed citations
9.
Castiglione, Monica Ruffini & Roberto Cremonini. (2012). A fascinating island: 2n = 4. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 146(3). 711–726. 18 indexed citations
10.
Terzago, Silvia, Roberto Cremonini, Claudio Cassardo, & Simona Fratianni. (2012). ANALYSIS OF SNOW PRECIPITATION DURING THE PERIOD 2000-09 AND EVALUATION OF A MSG/SEVIRI SNOW COVER ALGORITHM IN SW ITALIAN ALPS. 35. 91–99. 16 indexed citations
11.
Fratianni, Simona, et al.. (2008). Raccordo tra le serie termo-pluviometriche delle stazioni manuali ed automatiche in Piemonte. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations
12.
Grillo, Oscar, et al.. (2007). Tuscany beans landraces, on-line identification from seeds inspection by image analysis and linear discriminant analysis. CINECA IRIS Institutial research information system (University of Pisa). 9 indexed citations
13.
Venora, Gianfranco, et al.. (1999). Cytology of Vicia species. VIII. Nuclear DNA contents, chromatin organization and karyotype evolution in Vicia pisiformis L. populations. Caryologia. 52. 105–115. 5 indexed citations
14.
Galasso, Incoronata, et al.. (1994). Cytology of Vicia species. III. Characterization of the chromosomal chromatin of some species of the section Cracca.. 77. 175–182. 5 indexed citations
15.
Cremonini, Roberto. (1992). The chromosomes of Vicia faba: banding patterns and in situ hybridizations.. CINECA IRIS Institutial research information system (University of Pisa). 111(4). 188–203. 6 indexed citations
16.
Paola, M. Lipucci Di, M. Frediani, Domenico Pignone, & Roberto Cremonini. (1992). Heat tolerance by chlorophyll fluorescence in Vicia species of the faba group.Cytobios 69 (1992): 101-102.. 69(277). 101–106. 1 indexed citations
17.
Frediani, M., et al.. (1992). Nuclear DNA characterization of two species ofVicia:Vicia bithynica L. andVicia narbonensis L.. Biologia Plantarum. 34(3-4). 18 indexed citations
18.
Cremonini, Roberto, Tiziana Lombardi, Agostino Stefani, & A Onnis. (1992). xHaynaldoticum sardoum Meletti et Onnis: effects of salinity and temperature on germination and early growth.. CINECA IRIS Institutial research information system (University of Pisa). 72(289). 83–92. 2 indexed citations
19.
Cremonini, Roberto, et al.. (1991). Interspecific hybridization in sunflower. I. Cytological studies of the hybrid Helianthus annuus L. x Helianhus debilis debilis Nutt.. Helia. 14. 43–50. 2 indexed citations
20.
Cremonini, Roberto, et al.. (1989). Contexts: Dynamic Identification of Common Parameters in Distributed Analysis of Complex Devices.. International Joint Conference on Artificial Intelligence. 104–109. 4 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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