D. Baraldi

56 papers receiving 1.9k citations

Peers

D. Baraldi
Comparison fields: 5 of 73
  • Energy Engineering and Power Technology 630
  • Statistics, Probability and Uncertainty 452
  • Safety, Risk, Reliability and Quality 537
  • Aerospace Engineering 1.5k
  • Automotive Engineering 297
Replace Daniele Melideo with:
Daniele Melideo Netherlands
Vladimir Molkov United Kingdom
Dmitriy Makarov United Kingdom
Valeria Di Sarli Italy
Liang Pu China
B.J. Lowesmith United Kingdom
Philippe Bournot France
İlker Yılmaz Türkiye
Hokeun Kang South Korea
G. A. Karim Canada
D. Baraldi relative to Daniele Melideo Netherlands Daniele Melideo's profile →
Citations per field
00.5×4.1×
Daniele Melideo · 1×
Citations per year

Countries citing papers authored by D. Baraldi

Since Specialization
Citations

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

Fields of papers citing papers by D. Baraldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside D. Baraldi, 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 D. Baraldi Line = papers co-authored together D. Baraldi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 20231
4 202032
5 202011
6 201951
7 201859
8 201693
9 201686
10 201560
11 201416
12 20118
13 201115
14 20114
15
Safety Distances for Hydrogen Refuelling Station
20102
16 20107
17 200968
18 200719
19
ON THE IMPORTANCE OF VALIDATION WHEN USING COMMERCIAL CFD CODES IN NUCLEAR REACTOR SAFETY
20062
20 200455

About D. Baraldi

D. Baraldi is a scholar working on Energy Engineering and Power Technology, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Aerospace Engineering and Fluid Flow and Transfer Processes, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Combustion and Detonation Processes (33 papers), Risk and Safety Analysis (16 papers), Fire dynamics and safety research (16 papers), Spacecraft and Cryogenic Technologies (11 papers), Wind and Air Flow Studies (10 papers), Hybrid Renewable Energy Systems (8 papers), Nuclear Engineering Thermal-Hydraulics (7 papers) and High Temperature Alloys and Creep (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (630 citations), Statistics, Probability and Uncertainty (452 citations), Safety, Risk, Reliability and Quality (537 citations), Aerospace Engineering (1.5k citations) and Automotive Engineering (297 citations). D. Baraldi has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Daniele Melideo, Pietro Moretto, B. Acosta, Heinz Wilkening, M. Heitsch, A.G. Venetsanos, Maria Cristina Galassi, R. Ortiz Cebolla, E. Papanikolaou and Igor Simonovski. Their work appears in journals such as International Journal of Hydrogen Energy, Nuclear Engineering and Design, Journal of Loss Prevention in the Process Industries, Metals and Theoretical and Applied Fracture Mechanics.

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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