Daniela Molinari

2.3k citations
70 papers · 1.4k · h-index 20

Impact in

Papers in

Daniela Molinari

64 papers receiving 1.3k citations

Peers

Daniela Molinari
Comparison fields: 5 of 123
  • Global and Planetary Change 931
  • Atmospheric Science 386
  • Water Science and Technology 295
  • Endocrine and Autonomic Systems 55
  • Earth-Surface Processes 52
Replace Alfonso Mejía with:
Alfonso Mejía United States
William L. Crosson United States
Rouzbeh Nazari United States
Pedro Pinto Santos Portugal
Jonathan A. Sullivan United States
Mohammad Z. Al‐Hamdan United States
Anna Sperotto Italy
Isabelle Ruin France
Laura Read United States
Giampiero Maracchi Italy
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Molinari

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Molinari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Molinari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Molinari Line = papers co-authored together Daniela Molinari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016132
2 2012132
3 2018103
4 201896
5 200389
6 201473
7 199763
8 202057
9 202246
10 201042
11 201436
12 201334
13 201733
14 201930
15 201630
16 199824
17 202123
18 201523
19 201823
20 202219

About Daniela Molinari

Daniela Molinari is a scholar working on Global and Planetary Change, Atmospheric Science, Sociology and Political Science, Civil and Structural Engineering and Water Science and Technology, having authored 70 papers that have together received 1.4k indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (52 papers), Disaster Management and Resilience (22 papers), Tropical and Extratropical Cyclones Research (20 papers), Hydrology and Drought Analysis (20 papers), Infrastructure Resilience and Vulnerability Analysis (13 papers), Hydrology and Watershed Management Studies (12 papers), Geographic Information Systems Studies (2 papers) and Geomagnetism and Paleomagnetism Studies (2 papers). The work is most often cited by research in Global and Planetary Change (931 citations), Atmospheric Science (386 citations), Water Science and Technology (295 citations), Endocrine and Autonomic Systems (55 citations) and Earth-Surface Processes (52 citations). Daniela Molinari has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Francesco Ballio, Scira Menoni, Anna Rita Scorzini, Giuseppe Tito Aronica, John Handmer, Mario Martina, Guido Minucci, Francesco Dottori, Rui Figueiredo and Sue Tapsell. Their work appears in journals such as Natural hazards and earth system sciences, International Journal of Disaster Risk Reduction, Water, Natural Hazards and Journal of Flood Risk Management.

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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