Mariangela Sciandra
Impact in
- Oceanography top 10%
- Marine and coastal plant biology
- Marine Biology and Ecology Research
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- Coastal wetland ecosystem dynamics
- Coral and Marine Ecosystems Studies
Papers in
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- Advanced Statistical Methods and Models 5
- Statistical Methods and Inference 4
- Statistical Methods and Bayesian Inference 3
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- Multi-Criteria Decision Making 5
- Co-authors
- Sebastiano Calvo (8 shared papers)Agostino Tomasello (8 shared papers)Vito M. R. Muggeo (5 shared papers)Antonella Plaia (10 shared papers)Maria Pirrotta (6 shared papers)Germana Di Maida (5 shared papers)Gianfranco Lovison (6 shared papers)Emanuele D’Amico (2 shared papers)
In The Last Decade
Mariangela Sciandra
32 papers receiving 447 citations
Peers
Comparison fields: 5 of 119
- Oceanography 119
- Ecology 105
- Statistics and Probability 33
- Pathology and Forensic Medicine 42
- Pollution 21
Countries citing papers authored by Mariangela Sciandra
This map shows the geographic impact of Mariangela Sciandra'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 Mariangela Sciandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariangela Sciandra more than expected).
Fields of papers citing papers by Mariangela Sciandra
This network shows the impact of papers produced by Mariangela Sciandra. 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 Mariangela Sciandra. The network helps show where Mariangela Sciandra may publish in the future.
Co-authors
The 25 scholars most cited alongside Mariangela Sciandra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 80 | |
| 2 | 2019 | 54 | |
| 3 | 2015 | 40 | |
| 4 | 2006 | 33 | |
| 5 | 2013 | 27 | |
| 6 | 2020 | 26 | |
| 7 | 2007 | 22 | |
| 8 | 2023 | 20 | |
| 9 | 2018 | 17 | |
| 10 | 2016 | 14 | |
| 11 | 2010 | 13 | |
| 12 | 2017 | 13 | |
| 13 | 2016 | 12 | |
| 14 | 2011 | 11 | |
| 15 | 2020 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2019 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2015 | 6 | |
| 20 | 2021 | 6 |
About Mariangela Sciandra
Mariangela Sciandra is a scholar working on Statistics and Probability, Management Science and Operations Research, Signal Processing, Oceanography and Ecology, having authored 32 papers that have together received 455 indexed citations. Recurring topics across this work include Marine and coastal plant biology (7 papers), Data Management and Algorithms (6 papers), Multi-Criteria Decision Making (5 papers), Advanced Statistical Methods and Models (5 papers), Coastal wetland ecosystem dynamics (4 papers), Statistical Methods and Inference (4 papers), Bayesian Methods and Mixture Models (3 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Oceanography (119 citations), Ecology (105 citations), Statistics and Probability (33 citations), Pathology and Forensic Medicine (42 citations) and Pollution (21 citations). Mariangela Sciandra has collaborated with scholars based in Italy, Spain and France. Frequent co-authors include Sebastiano Calvo, Agostino Tomasello, Vito M. R. Muggeo, Antonella Plaia, Maria Pirrotta, Germana Di Maida, Gianfranco Lovison, Emanuele D’Amico, Aurora Zanghì and Francesco Patti. Their work appears in journals such as Marine Environmental Research, Advances in Data Analysis and Classification, Environmental and Ecological Statistics, Expert Systems with Applications and Annals of Operations Research.
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.