M. Vascellari

1.3k citations
26 papers · 1.1k · h-index 19

Impact in

Papers in

M. Vascellari

25 papers receiving 1.1k citations

Peers

M. Vascellari
Comparison fields: 5 of 49
  • Fluid Flow and Transfer Processes 267
  • Computational Mechanics 877
  • Safety, Risk, Reliability and Quality 262
  • Biomedical Engineering 830
  • Ocean Engineering 116
Replace Yuegui Zhou with:
Yuegui Zhou China
Toshiro Fujimori Japan
Junrui Shi China
Hirofumi TSUJI Japan
Sang In Keel South Korea
Shujun Zhu China
Arne Scholtissek Germany
Hookyung Lee South Korea
R.E. Peck United States
Sreenivasa Rao Gubba United Kingdom
M. Vascellari relative to Yuegui Zhou China Yuegui Zhou's profile →
Citations per field
00.5×4.2×
Yuegui Zhou · 1×
Citations per year

Countries citing papers authored by M. Vascellari

Since Specialization
Citations

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

Fields of papers citing papers by M. Vascellari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011122
2 2012115
3 201398
4 202187
5 201287
6 201661
7 201556
8 201552
9 201848
10 201748
11 201345
12 201545
13 201338
14 201635
15 201834
16 201134
17 201331
18 201519
19 201418
20
Numerical simulation of pulverized coal oxy-combustion with exhaust gas recirculation
200915

About M. Vascellari

M. Vascellari is a scholar working on Biomedical Engineering, Computational Mechanics, Fluid Flow and Transfer Processes, Mechanical Engineering and Safety, Risk, Reliability and Quality, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (20 papers), Combustion and flame dynamics (18 papers), Advanced Combustion Engine Technologies (9 papers), Fire dynamics and safety research (5 papers), Coal Combustion and Slurry Processing (4 papers), Radiative Heat Transfer Studies (3 papers), Chemical Looping and Thermochemical Processes (3 papers) and Iron and Steelmaking Processes (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (267 citations), Computational Mechanics (877 citations), Safety, Risk, Reliability and Quality (262 citations), Biomedical Engineering (830 citations) and Ocean Engineering (116 citations). M. Vascellari has collaborated with scholars based in Germany, Italy and Canada. Frequent co-authors include Christian Hasse, Giorgio Cau, Hongbin Xu, Andreas Kempf, Andreas Kronenburg, Oliver T. Stein, Petr A. Nikrityuk, Tiziano Faravelli, M. Pollack and Andreas Richter. Their work appears in journals such as Fuel, Proceedings of the Combustion Institute, Flow Turbulence and Combustion, Combustion and Flame and Progress in Energy and Combustion Science.

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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