Pablo E. Hegel

33 papers receiving 721 citations

Peers

Pablo E. Hegel
Comparison fields: 5 of 73
  • Fluid Flow and Transfer Processes 130
  • Filtration and Separation 29
  • Biomedical Engineering 607
  • Catalysis 48
  • Control and Systems Engineering 157
Replace Selva Pereda with:
Selva Pereda Argentina
Papa M. Ndiaye Brazil
S. Espinosa Argentina
George Anitescu United States
Guillermo Mabe Argentina
Irede Angela Lucini Dalmolin Brazil
Patrícia Fazzio Martins Brazil
Marco Maschietti Denmark
Rhodri W. Jenkins United Kingdom
Kornkanok Aryusuk Thailand
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Selva Pereda · 1×
Citations per year

Countries citing papers authored by Pablo E. Hegel

Since Specialization
Citations

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

Fields of papers citing papers by Pablo E. Hegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo E. Hegel. 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 Pablo E. Hegel. The network helps show where Pablo E. Hegel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200896
2 201069
3 200766
4 201248
5 200845
6 200743
7 201931
8 201130
9 201029
10 200729
11 201727
12 200626
13 201221
14 201421
15 201919
16 202116
17 201215
18 202115
19 201312
20 201512

About Pablo E. Hegel

Pablo E. Hegel is a scholar working on Biomedical Engineering, Control and Systems Engineering, Molecular Biology, Catalysis and Fluid Flow and Transfer Processes, having authored 35 papers that have together received 743 indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (26 papers), Process Optimization and Integration (12 papers), Biodiesel Production and Applications (10 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Thermodynamic properties of mixtures (6 papers), Heat transfer and supercritical fluids (4 papers), Ionic liquids properties and applications (4 papers) and Chemical Thermodynamics and Molecular Structure (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (130 citations), Filtration and Separation (29 citations), Biomedical Engineering (607 citations), Catalysis (48 citations) and Control and Systems Engineering (157 citations). Pablo E. Hegel has collaborated with scholars based in Argentina, South Africa and France. Frequent co-authors include Selva Pereda, Esteban A. Brignole, Guillermo Mabe, Susana B. Bottini, Alexis Velez, Alfonsina E. Andreatta, Lidia M. Casás, Séverine Camy, Lucas Martín and Marcelo S. Zabaloy. Their work appears in journals such as The Journal of Supercritical Fluids, Journal of Chemical & Engineering Data, Industrial & Engineering Chemistry Research, Chemical Engineering and Processing - Process Intensification and Fluid Phase Equilibria.

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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