M. Vascellari

1.3k citations
29 papers · 1.2k · h-index 19

Impact in

Papers in

M. Vascellari

27 papers receiving 1.2k citations

Peers

M. Vascellari
Comparison fields: 5 of 50
  • Fluid Flow and Transfer Processes 271
  • Computational Mechanics 893
  • Safety, Risk, Reliability and Quality 263
  • Biomedical Engineering 856
  • Ocean Engineering 119
Replace Yuegui Zhou with:
Yuegui Zhou China
Toshiro Fujimori Japan
Junrui Shi China
Hirofumi TSUJI Japan
Sang In Keel South Korea
Sreenivasa Rao Gubba United Kingdom
Arne Scholtissek Germany
Shujun Zhu China
Hookyung Lee South Korea
И. С. Ануфриев Russia
M. Vascellari relative to Yuegui Zhou China Yuegui Zhou's profile →
Citations per field
00.5×4.3×
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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011126
2 2012118
3 2013101
4 202199
5 201288
6 201662
7 201557
8 201853
9 201553
10 201349
11 201748
12 201545
13 201341
14 201138
15 201836
16 201635
17 201331
18 201520
19 201418
20
Numerical simulation of pulverized coal oxy-combustion with exhaust gas recirculation
200916

About M. Vascellari

M. Vascellari is a scholar working on Biomedical Engineering, Computational Mechanics, Mechanical Engineering, Fluid Flow and Transfer Processes and Safety, Risk, Reliability and Quality, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (22 papers), Combustion and flame dynamics (18 papers), Advanced Combustion Engine Technologies (9 papers), Coal Combustion and Slurry Processing (6 papers), Fire dynamics and safety research (5 papers), Iron and Steelmaking Processes (4 papers), Radiative Heat Transfer Studies (3 papers) and Chemical Looping and Thermochemical Processes (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (271 citations), Computational Mechanics (893 citations), Safety, Risk, Reliability and Quality (263 citations), Biomedical Engineering (856 citations) and Ocean Engineering (119 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, Oliver T. Stein, Andreas Kronenburg, 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, Chemical Engineering Science 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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