Mattia Santoro

1.0k total citations
42 papers, 704 citations indexed

About

Mattia Santoro is a scholar working on Artificial Intelligence, Geography, Planning and Development and Information Systems and Management. According to data from OpenAlex, Mattia Santoro has authored 42 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 13 papers in Geography, Planning and Development and 10 papers in Information Systems and Management. Recurrent topics in Mattia Santoro's work include Geographic Information Systems Studies (13 papers), Scientific Computing and Data Management (9 papers) and Distributed and Parallel Computing Systems (7 papers). Mattia Santoro is often cited by papers focused on Geographic Information Systems Studies (13 papers), Scientific Computing and Data Management (9 papers) and Distributed and Parallel Computing Systems (7 papers). Mattia Santoro collaborates with scholars based in Italy, Switzerland and United States. Mattia Santoro's co-authors include Stefano Nativi, P. Mazzetti, Grégory Giuliani, Massimo Craglia, Anthony Lehmann, Pierre Lacroix, Bruno Chatenoux, Lorenzino Vaccari, Lorenzo Bigagli and Cristiano Fugazza and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Environmental Modelling & Software.

In The Last Decade

Mattia Santoro

41 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mattia Santoro Italy 13 241 150 133 124 114 42 704
Joan Masó Spain 12 169 0.7× 109 0.7× 98 0.7× 123 1.0× 84 0.7× 67 695
Xicheng Tan China 17 157 0.7× 53 0.4× 102 0.8× 141 1.1× 50 0.4× 52 687
Alessandro Annoni Italy 12 173 0.7× 480 3.2× 149 1.1× 92 0.7× 89 0.8× 27 1.1k
Denisa Rodila Romania 11 162 0.7× 87 0.6× 95 0.7× 127 1.0× 76 0.7× 32 498
Michael Goodchild United States 10 206 0.9× 435 2.9× 112 0.8× 68 0.5× 89 0.8× 13 1.2k
Ziheng Sun United States 20 410 1.7× 105 0.7× 146 1.1× 469 3.8× 171 1.5× 82 1.5k
Peter Woodgate Australia 8 202 0.8× 210 1.4× 56 0.4× 121 1.0× 44 0.4× 17 711
Martin Sudmanns Austria 15 176 0.7× 78 0.5× 147 1.1× 187 1.5× 29 0.3× 37 635
Karine Reis Ferreira Brazil 13 248 1.0× 51 0.3× 100 0.8× 304 2.5× 46 0.4× 39 713
Songshan Yue China 17 177 0.7× 344 2.3× 91 0.7× 41 0.3× 228 2.0× 72 895

Countries citing papers authored by Mattia Santoro

Since Specialization
Citations

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

Fields of papers citing papers by Mattia Santoro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mattia Santoro

This figure shows the co-authorship network connecting the top 25 collaborators of Mattia Santoro. A scholar is included among the top collaborators of Mattia Santoro 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 Mattia Santoro. Mattia Santoro 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.
Vaccari, Lorenzino, et al.. (2020). Application Programming Interfaces in Governments: Why, what and how: Channelling Government Digital Transformation through APIs. Joint Research Centre (European Commission). 3 indexed citations
2.
Giuliani, Grégory, et al.. (2020). From Data to Knowledge using the GEOSS platform to support Sustainable Development Goals. IOP Conference Series Earth and Environmental Science. 509(1). 12020–12020. 1 indexed citations
3.
Boldrini, Enrico, P. Mazzetti, Stefano Nativi, et al.. (2020). WMO Hydrological Observing System (WHOS) broker: implementation progress and outcomes. 4 indexed citations
4.
Santoro, Mattia, P. Mazzetti, & Stefano Nativi. (2019). The VLab: a cloud-based platform to share and execute scientific models. EGUGA. 12360. 2 indexed citations
5.
Boldrini, Enrico, P. Mazzetti, Stefano Nativi, et al.. (2019). WMO Hydrological Observing System (WHOS): a collaborative implementation approach. EGU General Assembly Conference Abstracts. 13620. 1 indexed citations
6.
Santoro, Mattia, et al.. (2019). Web Application Programming Interfaces (APIs): general-purpose standards, terms and European Commission initiatives. Joint Research Centre (European Commission). 6 indexed citations
7.
Santoro, Mattia, Simon Jirka, Toshio Koike, et al.. (2018). Interoperability challenges in river discharge modelling: A cross domain application scenario. Computers & Geosciences. 115. 66–74. 4 indexed citations
8.
Giuliani, Grégory, Pierre Lacroix, Mattia Santoro, et al.. (2015). Enabling Discovery of African Geospatial Resources. Archive ouverte UNIGE (University of Geneva). 6 indexed citations
9.
Boldrini, Enrico, et al.. (2015). Enabling interoperability in Geoscience with GI-suite. EGUGA. 12199. 1 indexed citations
10.
Santoro, Mattia, Stefano Nativi, Jay Pearlman, S. S. Khalsa, & Robinson W. Fulweiler. (2015). Insights into Broker - User interactions from the BCube Project. AGUFM. 2015. 1 indexed citations
11.
Bigagli, Lorenzo, Mattia Santoro, P. Mazzetti, & Stefano Nativi. (2015). Architecture of a Process Broker for Interoperable Geospatial Modeling on the Web. ISPRS International Journal of Geo-Information. 4(2). 647–660. 12 indexed citations
12.
Santoro, Mattia, Roberto Pastres, Matteo Zucchetta, et al.. (2014). Sustainable Management of Seagrass Meadows: the GEOSS AIP-6 Pilot. EGUGA. 14092. 2 indexed citations
13.
Mazzetti, P., Stefano Nativi, Mattia Santoro, & Enrico Boldrini. (2014). Big Data challenges and solutions in building the Global Earth Observation System of Systems (GEOSS). EGU General Assembly Conference Abstracts. 13855. 3 indexed citations
14.
Boldrini, Enrico, et al.. (2013). Data Access Services interoperability in the Geosciences by means of the GI-axe Brokering Framework. EGUGA. 3 indexed citations
15.
Santoro, Mattia, Lorenzo Bigagli, Roberto Roncella, P. Mazzetti, & Stefano Nativi. (2013). Towards a Brokering Framework for Business Process Execution. EGUGA. 1 indexed citations
16.
Santoro, Mattia, Yaxing Wei, Enrico Boldrini, et al.. (2013). Brokering Services to Evaluate, Visualize, and Analyze Terrestrial Biosphere Model Output and Observations. EGUGA. 1 indexed citations
17.
Santoro, Mattia, et al.. (2013). Improve the ranking algorithm of the GEO Discovery and Access Broker through resource accessibility assessment. AGUFM. 2013. 1 indexed citations
18.
Mazzetti, P., Stefano Nativi, Mattia Santoro, & Enrico Boldrini. (2013). The GEOSS Common Infrastructure for the heavy metal pollution community applications. SHILAP Revista de lepidopterología. 1. 18002–18002. 1 indexed citations
19.
Nativi, Stefano, P. Mazzetti, Mattia Santoro, et al.. (2010). CDI/THREDDS interoperability in the SeaDataNet framework. Advances in geosciences. 28. 17–27. 2 indexed citations
20.
Santoro, Mattia, P. Mazzetti, Cristiano Fugazza, Stefano Nativi, & Massimo Craglia. (2010). Semantics Enabled Queries in EuroGEOSS: a Discovery Augmentation Approach. AGUFM. 2010. 1 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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