Javier Barba

887 citations
23 papers · 723 · h-index 15

Impact in

Papers in

Javier Barba

22 papers receiving 703 citations

Peers

Javier Barba
Comparison fields: 5 of 58
  • Fluid Flow and Transfer Processes 444
  • Automotive Engineering 209
  • Computational Mechanics 206
  • Biomedical Engineering 423
  • Catalysis 48
Replace M. Gambino with:
M. Gambino Italy
Sabato Iannaccone Italy
Midhat Talibi United Kingdom
Yage Di China
Fermín Oliva Spain
X. Montagne France
Zhuoyao He China
Maryam Hajbabaei United States
Zongkuan Liu China
Yuwei Zhao China
Javier Barba relative to M. Gambino Italy M. Gambino's profile →
Citations per field
00.5×7.5×
M. Gambino · 1×
Citations per year

Countries citing papers authored by Javier Barba

Since Specialization
Citations

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

Fields of papers citing papers by Javier Barba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Javier Barba, 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 Javier Barba Line = papers co-authored together Javier Barba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016133
2 2012120
3 201553
4 201744
5 201641
6 201838
7 201737
8 201936
9 201728
10 201928
11 201527
12 202226
13 202024
14 202123
15 201322
16 201512
17 20199
18 20228
19 20145
20 20204

About Javier Barba

Javier Barba is a scholar working on Fluid Flow and Transfer Processes, Biomedical Engineering, Automotive Engineering, Computational Mechanics and Materials Chemistry, having authored 23 papers that have together received 723 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (19 papers), Biodiesel Production and Applications (16 papers), Vehicle emissions and performance (8 papers), Thermochemical Biomass Conversion Processes (5 papers), Catalytic Processes in Materials Science (5 papers), Combustion and flame dynamics (4 papers), Heat transfer and supercritical fluids (3 papers) and Subcritical and Supercritical Water Processes (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (444 citations), Automotive Engineering (209 citations), Computational Mechanics (206 citations), Biomedical Engineering (423 citations) and Catalysis (48 citations). Javier Barba has collaborated with scholars based in Spain, Canada and Colombia. Frequent co-authors include Magı́n Lapuerta, Juan José Marín Hernández, Ángel Ramos, Gabriela N. Aranda, José Rodríguez‐Fernández, Murray J. Thomson, M. Reza Kholghy, Anton D. Sediako, David Fernández-Rodríguez and Rosario Ballesteros. Their work appears in journals such as Energies, International Journal of Engine Research, Fuel, Sustainability and Energy.

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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