Daniela Molinari

2.2k citations
67 papers · 1.3k indexed · h-index 19

Daniela Molinari

61 papers receiving 1.2k citations

Peers

Daniela Molinari
Comparison fields: 5 of 123
  • Global and Planetary Change 882
  • Atmospheric Science 368
  • Water Science and Technology 280
  • Endocrine and Autonomic Systems 67
  • Earth-Surface Processes 48
Replace William L. Crosson with:
William L. Crosson United States
Rouzbeh Nazari United States
Daiqing Li China
Mohammad Z. Al‐Hamdan United States
Giampiero Maracchi Italy
Congxiao Wang China
Muhammad Ashraf Pakistan
Edoardo Vignotto Switzerland
Sarah Kew Netherlands
Daniela Molinari relative to William L. Crosson United States William L. Crosson's profile →
Citations per field
00.5×3.7×
William L. Crosson · 1×
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-authorship network

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
#Work
1 20250
2 20241
3 20244
4 20232
5 20238
6 20226
7 20227
8 20213
9 20211
10 20204
11 20199
12 201929
13 201712
14 20163
15 201629
16 2016125
17
Development of synthetic flood damage curve by explicit costs analysis
20150
18
Flood Forecast Verification to Support Emergency Management
20114
19 200317
20 199913

About Daniela Molinari

Daniela Molinari is a scholar working on Global and Planetary Change, Atmospheric Science, Archeology, Water Science and Technology and Civil and Structural Engineering, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (51 papers), Disaster Management and Resilience (22 papers), Hydrology and Drought Analysis (20 papers), Tropical and Extratropical Cyclones Research (20 papers), Infrastructure Resilience and Vulnerability Analysis (13 papers), Hydrology and Watershed Management Studies (12 papers), Regulation of Appetite and Obesity (3 papers) and Obesity, Physical Activity, Diet (2 papers). The work is most often cited by research in Global and Planetary Change (882 citations), Atmospheric Science (368 citations), Water Science and Technology (280 citations), Endocrine and Autonomic Systems (67 citations) and Earth-Surface Processes (48 citations). Daniela Molinari has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Francesco Ballio, Anna Rita Scorzini, Scira Menoni, Giuseppe Tito Aronica, John Handmer, Mario Martina, Rui Figueiredo, Francesco Dottori, Sue Tapsell and Guido Minucci. 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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