Massimo Scandura

3.2k total citations
79 papers, 2.0k citations indexed

About

Massimo Scandura is a scholar working on Ecology, Genetics and Ecological Modeling. According to data from OpenAlex, Massimo Scandura has authored 79 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Ecology, 50 papers in Genetics and 13 papers in Ecological Modeling. Recurrent topics in Massimo Scandura's work include Wildlife Ecology and Conservation (55 papers), Genetic and phenotypic traits in livestock (36 papers) and Genetic diversity and population structure (34 papers). Massimo Scandura is often cited by papers focused on Wildlife Ecology and Conservation (55 papers), Genetic and phenotypic traits in livestock (36 papers) and Genetic diversity and population structure (34 papers). Massimo Scandura collaborates with scholars based in Italy, Germany and Spain. Massimo Scandura's co-authors include Marco Apollonio, Laura Iacolina, Luca Mattioli, Claudia Capitani, Tomasz Podgórski, Andrea Gazzola, Bogumiła Jędrzejewska, Antonio Canu, Elisa Avanzinelli and Joaquín Vicente and has published in prestigious journals such as PLoS ONE, Scientific Reports and Molecular Ecology.

In The Last Decade

Massimo Scandura

76 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimo Scandura Italy 26 1.2k 1.0k 371 251 201 79 2.0k
Laurent Schley Luxembourg 15 1.1k 0.9× 655 0.6× 216 0.6× 231 0.9× 146 0.7× 29 1.7k
Alain C. Frantz Luxembourg 27 1.7k 1.4× 1.5k 1.5× 220 0.6× 340 1.4× 157 0.8× 87 2.7k
Holly B. Ernest United States 26 1.6k 1.3× 1.0k 1.0× 124 0.3× 284 1.1× 110 0.5× 82 2.2k
David K. Garcelon United States 21 944 0.8× 533 0.5× 146 0.4× 306 1.2× 113 0.6× 62 1.8k
Prithiviraj Fernando United States 22 1.2k 1.0× 701 0.7× 269 0.7× 187 0.7× 71 0.4× 51 1.7k
Kristin Nowell United States 10 1.6k 1.3× 567 0.6× 238 0.6× 264 1.1× 82 0.4× 13 2.0k
Christine Breitenmoser‐Würsten Switzerland 24 1.4k 1.1× 537 0.5× 281 0.8× 193 0.8× 69 0.3× 47 1.7k
Surendra Prakash Goyal India 24 1.7k 1.4× 589 0.6× 231 0.6× 308 1.2× 62 0.3× 118 2.0k
Timothy R. Van Deelen United States 26 1.6k 1.3× 275 0.3× 326 0.9× 187 0.7× 240 1.2× 102 2.0k
John D. Wehausen United States 24 1.5k 1.2× 745 0.7× 161 0.4× 144 0.6× 174 0.9× 40 2.0k

Countries citing papers authored by Massimo Scandura

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Scandura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Scandura

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Scandura. A scholar is included among the top collaborators of Massimo Scandura 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 Massimo Scandura. Massimo Scandura 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.
Bužan, Elena, Laura Iacolina, Toni Safner, et al.. (2024). Diversity of MHC class II DRB alleles in the Northern chamois genus Rupicapra. Journal of Mammalogy. 105(2). 312–322.
2.
Bongi, Paolo, et al.. (2023). A Predator on the Doorstep: Kill Site Selection by a Lone Wolf in a Peri-Urban Park in a Mediterranean Area. Animals. 13(3). 480–480. 3 indexed citations
3.
Merli, Enrico, Luca Mattioli, Elena Bassi, et al.. (2023). Estimating Wolf Population Size and Dynamics by Field Monitoring and Demographic Models: Implications for Management and Conservation. Animals. 13(11). 1735–1735. 4 indexed citations
4.
5.
López, Javier Fernández, Pelayo Acevedo, Marco Apollonio, et al.. (2021). Analysis of wild boar‐domestic pig interface in Europe: spatial overlapping and fine resolution approach in several countries. EFSA Supporting Publications. 18(1). 8 indexed citations
6.
Acevedo, Pelayo, Francesca Brivio, Simon Croft, et al.. (2021). Analysis of wild ungulate‐livestock interface in Europe: preliminary results. EFSA Supporting Publications. 18(12). 1 indexed citations
7.
Acevedo, Pelayo, Simon Croft, Graham Smith, et al.. (2020). Validation and inference of high‐resolution information (downscaling) of ENETwild abundance model for wild boar. EFSA Supporting Publications. 17(1). 12 indexed citations
8.
Scandura, Massimo, Francesca Brivio, Stefania Zanet, et al.. (2020). Report of the ENETWILD workshop. EFSA Supporting Publications. 17(1).
9.
Scandura, Massimo, et al.. (2020). Applying the Darwin core standard to the monitoring of wildlife species, their management and estimated records. EFSA Supporting Publications. 17(4). 8 indexed citations
10.
Acevedo, Pelayo, Simon Croft, Graham Smith, et al.. (2020). Update of occurrence and hunting yield‐based data models for wild boar at European scale: new approach to handle the bioregion effect. EFSA Supporting Publications. 17(5). 15 indexed citations
11.
Acevedo, Pelayo, Simon Croft, Graham Smith, et al.. (2019). ENETwild modelling of wild boar distribution and abundance: update of occurrence and hunting data‐based models. EFSA Supporting Publications. 16(8). 27 indexed citations
12.
Vicente, Joaquín, Marco Apollonio, José Blanco, et al.. (2019). CAN WE APPLY CITIZEN SCIENCE IN THE MONITORING OF MAMMALS AT EUROPEAN LEVEL. 36. 1 indexed citations
13.
Ashrafzadeh, Mohammad Reza, et al.. (2018). Large-scale mitochondrial DNA analysis reveals new light on the phylogeography of Central and Eastern-European Brown hare (Lepus europaeus Pallas, 1778). PLoS ONE. 13(10). e0204653–e0204653. 8 indexed citations
14.
Vicente, Joaquín, Radim Plhal, José Blanco, et al.. (2018). Analysis of hunting statistics collection frameworks for wild boar across Europe and proposals for improving the harmonisation of data collection. EFSA Supporting Publications. 15(12). 19 indexed citations
15.
Canu, Antonio, Massimo Scandura, Enrico Merli, et al.. (2015). Reproductive phenology and conception synchrony in a natural wild boar population. Bollettino del CILEA (CILEA). 18 indexed citations
16.
Canu, Antonio, et al.. (2014). Are captive wild boar more introgressed than free-ranging wild boar? Two case studies in Italy. European Journal of Wildlife Research. 60(3). 459–467. 19 indexed citations
17.
Kusza, Szilvia, Tomasz Podgórski, Massimo Scandura, et al.. (2014). Contemporary Genetic Structure, Phylogeography and Past Demographic Processes of Wild Boar Sus scrofa Population in Central and Eastern Europe. PLoS ONE. 9(3). e91401–e91401. 33 indexed citations
18.
Cagnacci, Francesca, Andrea Cardini, Paolo Ciucci, et al.. (2012). Less is more : researcher survival guide in times of economic crisis. Bollettino del CILEA (CILEA). 22 indexed citations
19.
Scandura, Massimo, Laura Iacolina, Barbara Crestanello, et al.. (2008). Ancient vs. recent processes as factors shaping the genetic variation of the European wild boar: are the effects of the last glaciation still detectable?. Molecular Ecology. 17(7). 1745–1762. 126 indexed citations
20.
Scandura, Massimo, Laura Iacolina, Hichem Ben Slimen, Franz Suchentrunk, & Marco Apollonio. (2007). Mitochondrial CR-1 Variation in Sardinian Hares and Its Relationships with Other Old World Hares (Genus Lepus). Biochemical Genetics. 45(3-4). 305–323. 10 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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