J. Arcos
Impact in
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- Rheology and Fluid Dynamics Studies
- Biomedical Engineering top 10%
- Microfluidic and Capillary Electrophoresis Applications
- Microfluidic and Bio-sensing Technologies
- Nanopore and Nanochannel Transport Studies
- Nanofluid Flow and Heat Transfer
Papers in
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- Microfluidic and Capillary Electrophoresis Applications 18
- Microfluidic and Bio-sensing Technologies 15
- Nanopore and Nanochannel Transport Studies 14
- Nanofluid Flow and Heat Transfer 4
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- Fluid Dynamics and Thin Films 5
- Lattice Boltzmann Simulation Studies 4
- Fluid Dynamics and Heat Transfer 4
- Co-authors
- O. Bautista (36 shared papers)F. Méndez (34 shared papers)J. Martínez-Trinidad (1 shared paper)I. Campos-Silva (2 shared papers)
In The Last Decade
J. Arcos
34 papers receiving 454 citations
Peers
Comparison fields: 5 of 41
- Fluid Flow and Transfer Processes 96
- Biomedical Engineering 391
- Computational Mechanics 115
- Physical and Theoretical Chemistry 32
- Mechanical Engineering 103
Countries citing papers authored by J. Arcos
This map shows the geographic impact of J. Arcos'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 J. Arcos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Arcos more than expected).
Fields of papers citing papers by J. Arcos
This network shows the impact of papers produced by J. Arcos. 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 J. Arcos. The network helps show where J. Arcos may publish in the future.
Co-authors
The 4 scholars most cited alongside J. Arcos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 47 | |
| 2 | 2012 | 37 | |
| 3 | 2017 | 36 | |
| 4 | 2020 | 34 | |
| 5 | 2018 | 31 | |
| 6 | 2016 | 29 | |
| 7 | 2020 | 27 | |
| 8 | 2017 | 27 | |
| 9 | 2011 | 27 | |
| 10 | 2022 | 24 | |
| 11 | 2012 | 24 | |
| 12 | 2018 | 21 | |
| 13 | 2013 | 19 | |
| 14 | 2021 | 18 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2012 | 7 | |
| 20 | 2023 | 5 |
About J. Arcos
J. Arcos is a scholar working on Biomedical Engineering, Computational Mechanics, Fluid Flow and Transfer Processes, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 478 indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (18 papers), Microfluidic and Bio-sensing Technologies (15 papers), Nanopore and Nanochannel Transport Studies (14 papers), Rheology and Fluid Dynamics Studies (10 papers), Fluid Dynamics and Thin Films (5 papers), Nanofluid Flow and Heat Transfer (4 papers), Lattice Boltzmann Simulation Studies (4 papers) and Fluid Dynamics and Heat Transfer (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (96 citations), Biomedical Engineering (391 citations), Computational Mechanics (115 citations), Physical and Theoretical Chemistry (32 citations) and Mechanical Engineering (103 citations). J. Arcos has collaborated with scholars based in Mexico and Ecuador. Frequent co-authors include O. Bautista, F. Méndez, J. Martínez-Trinidad and I. Campos-Silva. Their work appears in journals such as Physics of Fluids, Journal of Non-Newtonian Fluid Mechanics, Physical Review Fluids, Journal of Fluid Mechanics and European Journal of Mechanics - B/Fluids.
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.