Daniela Asensio

442 citations
11 papers · 380 · h-index 9

Impact in

Papers in

Daniela Asensio

11 papers receiving 373 citations

Peers

Daniela Asensio
Comparison fields: 5 of 56
  • Biomedical Engineering 276
  • Industrial and Manufacturing Engineering 32
  • Materials Chemistry 143
  • Polymers and Plastics 34
  • Pollution 28
Replace Sasithorn Sunphorka with:
Sasithorn Sunphorka Thailand
Leandro A. Rodriguez-Ortiz Argentina
Widya Wijayanti Indonesia
Tiago José Pires de Oliveira Brazil
Prakash V. Chavan India
Márcia C. C. Veloso Brazil
Dongbing Li China
Wenkui Zhu China
Martin Staš Czechia
Nur Syuhada Ahmad Zauzi Malaysia
Daniela Asensio relative to Sasithorn Sunphorka Thailand Sasithorn Sunphorka's profile →
Citations per field
00.5×1.5×2.3×
Sasithorn Sunphorka · 1×
Citations per year

Countries citing papers authored by Daniela Asensio

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Asensio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Daniela Asensio, 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 Daniela Asensio Line = papers co-authored together Daniela Asensio links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 202088
2 202173
3 202248
4 201747
5 202340
6 202129
7 201418
8 202417
9 201413
10 20244
11 20193

About Daniela Asensio

Daniela Asensio is a scholar working on Biomedical Engineering, Materials Chemistry, Computational Mechanics, Pollution and Mechanics of Materials, having authored 11 papers that have together received 380 indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (7 papers), Thermal and Kinetic Analysis (4 papers), Lignin and Wood Chemistry (4 papers), Lattice Boltzmann Simulation Studies (3 papers), Heat and Mass Transfer in Porous Media (3 papers), Freezing and Crystallization Processes (1 paper), Energy and Environment Impacts (1 paper) and Nanofluid Flow and Heat Transfer (1 paper). The work is most often cited by research in Biomedical Engineering (276 citations), Industrial and Manufacturing Engineering (32 citations), Materials Chemistry (143 citations), Polymers and Plastics (34 citations) and Pollution (28 citations). Daniela Asensio has collaborated with scholars based in Argentina, France and China. Frequent co-authors include Germán Mazza, Rosa Rodríguez, Anabel Fernandez, Gastón G. Fouga, Leandro A. Rodriguez-Ortiz, María Paula Fabani, Gilles Flamant, Guillermo F. Barreto, Kuo Zeng and José Miguel Guillén Soria. Their work appears in journals such as Journal of environmental chemical engineering, Energy Conversion and Management, Industrial & Engineering Chemistry Research, Fuel Processing Technology and Process Safety and Environmental Protection.

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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