Michele Munafò

2.8k total citations · 1 hit paper
66 papers, 2.1k citations indexed

About

Michele Munafò is a scholar working on Global and Planetary Change, Environmental Engineering and Management, Monitoring, Policy and Law. According to data from OpenAlex, Michele Munafò has authored 66 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Global and Planetary Change, 20 papers in Environmental Engineering and 16 papers in Management, Monitoring, Policy and Law. Recurrent topics in Michele Munafò's work include Land Use and Ecosystem Services (45 papers), Urban Heat Island Mitigation (13 papers) and Urban Green Space and Health (13 papers). Michele Munafò is often cited by papers focused on Land Use and Ecosystem Services (45 papers), Urban Heat Island Mitigation (13 papers) and Urban Green Space and Health (13 papers). Michele Munafò collaborates with scholars based in Italy, United States and Czechia. Michele Munafò's co-authors include Luca Congedo, Luca Salvati, Marco Marchetti, Marco Morabito, Alfonso Crisci, Alessandro Messeri, Lorenzo Sallustio, Alberto Sabbi, Andrea Strollo and Giulia Guerri and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Environmental Management.

In The Last Decade

Michele Munafò

60 papers receiving 2.0k citations

Hit Papers

Assessing habitat quality in relation to the spatial dist... 2017 2026 2020 2023 2017 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Assessing habitat quality in relation to the spatial distribution of protected areas in Italy
    2017 278 citations Lorenzo Sallustio, Andrea Strollo et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Munafò Italy 22 1.3k 727 623 377 276 66 2.1k
Muye Gan China 29 1.8k 1.4× 657 0.9× 526 0.8× 737 2.0× 252 0.9× 57 2.7k
Luis Inostroza Chile 26 1.7k 1.3× 795 1.1× 997 1.6× 277 0.7× 202 0.7× 64 2.5k
Sawaid Abbas Hong Kong 28 1.2k 0.9× 694 1.0× 310 0.5× 817 2.2× 193 0.7× 83 2.5k
Dan Zhao China 27 933 0.7× 602 0.8× 241 0.4× 750 2.0× 241 0.9× 90 2.3k
Michael Reilly United States 6 1.3k 1.0× 370 0.5× 528 0.8× 369 1.0× 165 0.6× 10 1.8k
Seong Woo Jeon South Korea 23 1.1k 0.8× 485 0.7× 319 0.5× 465 1.2× 324 1.2× 105 1.9k
Xinli Ke China 23 1.2k 0.9× 338 0.5× 330 0.5× 280 0.7× 186 0.7× 60 1.7k
Ron Corstanje United Kingdom 32 1.3k 1.0× 902 1.2× 645 1.0× 832 2.2× 203 0.7× 105 2.9k
Jiuchun Yang China 22 994 0.8× 461 0.6× 270 0.4× 501 1.3× 172 0.6× 61 1.6k
Dianfeng Liu China 25 1.2k 0.9× 250 0.3× 386 0.6× 478 1.3× 193 0.7× 66 2.0k

Countries citing papers authored by Michele Munafò

Since Specialization
Citations

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

Fields of papers citing papers by Michele Munafò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Munafò

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Munafò. A scholar is included among the top collaborators of Michele Munafò 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 Michele Munafò. Michele Munafò 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
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Congedo, Luca, et al.. (2024). Analysis of trends in productivity metrics in assessing land degradation: A case study in the Campania region of southern Italy. Ecological Indicators. 161. 111962–111962. 6 indexed citations
4.
Mugnozza, Giuseppe Scarascia, et al.. (2023). Land Consumption Dynamics and Urban–Rural Continuum Mapping in Italy for SDG 11.3.1 Indicator Assessment. Land. 12(1). 155–155. 8 indexed citations
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Crespi, Mattia, et al.. (2023). Land Consumption Classification Using Sentinel 1 Data: A Systematic Review. Land. 12(4). 932–932. 6 indexed citations
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Congedo, Luca, et al.. (2023). Land Cover Mapping with Convolutional Neural Networks Using Sentinel-2 Images: Case Study of Rome. Land. 12(4). 879–879. 19 indexed citations
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Francini, Saverio, Ronald E. McRoberts, Luca Congedo, et al.. (2023). Estimating Afforestation Area Using Landsat Time Series and Photointerpreted Datasets. Remote Sensing. 15(4). 923–923. 16 indexed citations
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Francini, Saverio, Giovanni D’Amico, Ronald E. McRoberts, et al.. (2023). Reusing Remote Sensing-Based Validation Data: Comparing Direct and Indirect Approaches for Afforestation Monitoring. Remote Sensing. 15(6). 1638–1638. 10 indexed citations
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Congedo, Luca, et al.. (2022). Land Consumption Mapping with Convolutional Neural Network: Case Study in Italy. Land. 11(11). 1919–1919. 4 indexed citations
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Strollo, Andrea, et al.. (2021). Land Consumption Monitoring with SAR Data and Multispectral Indices. Remote Sensing. 13(8). 1586–1586. 19 indexed citations
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Strollo, Andrea, et al.. (2020). Land consumption in Italy. Journal of Maps. 16(1). 113–123. 45 indexed citations
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Brovelli, Maria Antonia, Piero Boccardo, Gloria Bordogna, et al.. (2019). URBAN GEO BIG DATA. SHILAP Revista de lepidopterología. XLII-4/W14. 23–30. 6 indexed citations
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Salvati, Luca, et al.. (2017). Figuring the features of the Roman Campagna: Recent landscape structural. SHILAP Revista de lepidopterología. 3 indexed citations
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Morabito, Marco, Alfonso Crisci, Teodoro Georgiadis, et al.. (2017). Urban Imperviousness Effects on Summer Surface Temperatures Nearby Residential Buildings in Different Urban Zones of Parma. Remote Sensing. 10(1). 26–26. 33 indexed citations
17.
Congedo, Luca, et al.. (2016). Copernicus high-resolution layers for land cover classification in Italy. Journal of Maps. 12(5). 1195–1205. 49 indexed citations
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Vizzarri, Matteo, Lorenzo Sallustio, Roberto Tognetti, et al.. (2015). Adaptive forest governance to face land use change impacts in Italy: a review. L’Italia forestale e montana. 237–256. 5 indexed citations
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Boldrini, Enrico, et al.. (2013). L’implementazione tecnica della Direttiva Inspire e del suo recepimento nazionale: l’approccio broker per la condivisione dei metadati. SHILAP Revista de lepidopterología. 1 indexed citations
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Pulighe, Giuseppe, et al.. (2013). Analisi dello stato dell'arte delle fonti informative di uso e copertura del suolo prodotte in Italia. SHILAP Revista de lepidopterología. 2 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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