M.A. Rivas

30 papers receiving 568 citations

Peers

M.A. Rivas
Comparison fields: 5 of 59
  • Filtration and Separation 152
  • Fluid Flow and Transfer Processes 264
  • Catalysis 215
  • Biomedical Engineering 265
  • Electrochemistry 36
Replace Roghayeh Majdan-Cegincara with:
Roghayeh Majdan-Cegincara Iran
Olga Iulian Romania
Khaled H.A.E. Alkhaldi Kuwait
S.M. Hosseini Iran
Gorica R. Ivaniš Serbia
Mohammad S. AlTuwaim Kuwait
Ricardo Belchior Tôrres Brazil
Changsheng Yang China
Jerry F. Casteel United States
Jianzhong Xia Germany
M.A. Rivas relative to Roghayeh Majdan-Cegincara Iran Roghayeh Majdan-Cegincara's profile →
Citations per field
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Roghayeh Majdan-Cegincara · 1×
Citations per year

Countries citing papers authored by M.A. Rivas

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside M.A. Rivas, 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.A. Rivas Line = papers co-authored together M.A. Rivas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201163
2 201051
3 201340
4 200838
5 200331
6 200229
7 200725
8 200424
9 200523
10 200223
11 201022
12 200122
13 200222
14 200422
15 200221
16 201818
17 200817
18 202115
19 201314
20 200211

About M.A. Rivas

M.A. Rivas is a scholar working on Biomedical Engineering, Fluid Flow and Transfer Processes, Catalysis, Organic Chemistry and Filtration and Separation, having authored 30 papers that have together received 577 indexed citations. Recurring topics across this work include Thermodynamic properties of mixtures (18 papers), Phase Equilibria and Thermodynamics (15 papers), Ionic liquids properties and applications (11 papers), Chemical Thermodynamics and Molecular Structure (7 papers), Chemical and Physical Properties in Aqueous Solutions (5 papers), Power Transformer Diagnostics and Insulation (4 papers), Nanofluid Flow and Heat Transfer (4 papers) and High voltage insulation and dielectric phenomena (4 papers). The work is most often cited by research in Filtration and Separation (152 citations), Fluid Flow and Transfer Processes (264 citations), Catalysis (215 citations), Biomedical Engineering (265 citations) and Electrochemistry (36 citations). M.A. Rivas has collaborated with scholars based in Spain, Portugal and United States. Frequent co-authors include T.P. Iglesias, S.M. Pereira, Ana Rodríguez, Francisco J. Deive, J.L. Legido, R. Iglesias, Natalie Banerji, A. Lago, João Carlos R. Reis and Ascher H. Shapiro. Their work appears in journals such as The Journal of Chemical Thermodynamics, Journal of Chemical & Engineering Data, Marine Biology, Journal of Molecular Liquids and Journal of Cataract & Refractive Surgery.

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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