Raniero Della Peruta

438 total citations
8 papers, 327 citations indexed

About

Raniero Della Peruta is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and Ecology. According to data from OpenAlex, Raniero Della Peruta has authored 8 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management, Monitoring, Policy and Law, 4 papers in Global and Planetary Change and 3 papers in Ecology. Recurrent topics in Raniero Della Peruta's work include Land Use and Ecosystem Services (4 papers), Soil and Land Suitability Analysis (3 papers) and Rangeland Management and Livestock Ecology (2 papers). Raniero Della Peruta is often cited by papers focused on Land Use and Ecosystem Services (4 papers), Soil and Land Suitability Analysis (3 papers) and Rangeland Management and Livestock Ecology (2 papers). Raniero Della Peruta collaborates with scholars based in Italy, Switzerland and France. Raniero Della Peruta's co-authors include Claudio Zucca, Armin Keller, Michael Cherlet, Stefan Sommer, Michael E. Schaepman, Rogier de Jong, Robert B. Zougmoré, Joachim Hill, J. Roehrig and Youba Sokona and has published in prestigious journals such as Remote Sensing of Environment, Ecological Indicators and CATENA.

In The Last Decade

Raniero Della Peruta

8 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raniero Della Peruta Italy 6 177 171 135 88 53 8 327
Miró Jacob Belgium 12 164 0.9× 93 0.5× 121 0.9× 85 1.0× 28 0.5× 17 316
Etefa Guyassa Ethiopia 11 164 0.9× 93 0.5× 114 0.8× 97 1.1× 32 0.6× 13 328
Cuixia Wei China 9 242 1.4× 188 1.1× 93 0.7× 62 0.7× 93 1.8× 14 414
Shengkun Li China 10 308 1.7× 153 0.9× 65 0.5× 98 1.1× 46 0.9× 13 444
Xiangwen Gong China 14 178 1.0× 152 0.9× 156 1.2× 59 0.7× 99 1.9× 24 415
Pierre Carrega France 8 331 1.9× 101 0.6× 95 0.7× 92 1.0× 60 1.1× 31 417
Kanat Akshalov Kazakhstan 12 178 1.0× 83 0.5× 150 1.1× 41 0.5× 92 1.7× 22 348
Jiali Xie China 10 224 1.3× 145 0.8× 49 0.4× 36 0.4× 47 0.9× 15 333
Leonard Jolley United States 9 123 0.7× 174 1.0× 112 0.8× 39 0.4× 30 0.6× 10 343
Bintao Liu China 8 216 1.2× 137 0.8× 85 0.6× 58 0.7× 46 0.9× 22 349

Countries citing papers authored by Raniero Della Peruta

Since Specialization
Citations

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

Fields of papers citing papers by Raniero Della Peruta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raniero Della Peruta. 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 Raniero Della Peruta. The network helps show where Raniero Della Peruta may publish in the future.

Co-authorship network of co-authors of Raniero Della Peruta

This figure shows the co-authorship network connecting the top 25 collaborators of Raniero Della Peruta. A scholar is included among the top collaborators of Raniero Della Peruta 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 Raniero Della Peruta. Raniero Della Peruta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Peruta, Raniero Della, et al.. (2025). Projecting trends of arabica coffee yield under climate change: A process-based modelling study at continental scale. Agricultural Systems. 227. 104353–104353. 2 indexed citations
2.
Jong, Rogier de, et al.. (2017). Determination of grassland use intensity based on multi-temporal remote sensing data and ecological indicators. Remote Sensing of Environment. 198. 126–139. 59 indexed citations
3.
Peruta, Raniero Della, et al.. (2016). Spatial Differentiation of Arable Land and Permanent Grassland to Improve a Land Management Model for Nutrient Balancing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(12). 5655–5665. 11 indexed citations
4.
Peruta, Raniero Della, Armin Keller, & Rainer Schulin. (2014). Sensitivity analysis, calibration and validation of EPIC for modelling soil phosphorus dynamics in Swiss agro-ecosystems. Environmental Modelling & Software. 62. 97–111. 26 indexed citations
5.
Zucca, Claudio, Raniero Della Peruta, Rosanna Salvia, Stefan Sommer, & Michael Cherlet. (2011). Towards a World Desertification Atlas. Relating and selecting indicators and data sets to represent complex issues. Ecological Indicators. 15(1). 157–170. 30 indexed citations
6.
Sommer, Stefan, Claudio Zucca, Alan Grainger, et al.. (2011). Application of indicator systems for monitoring and assessment of desertification from national to global scales. Land Degradation and Development. 22(2). 184–197. 116 indexed citations
7.
Zucca, Claudio, et al.. (2009). Evaluation and Integration of Baseline Indicators for Assessing and Monitoring Desertification. CINECA IRIS Institutional Research Information System (University of Basilicata). 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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