Marco Márquez

25 papers receiving 555 citations

Peers

Marco Márquez
Comparison fields: 5 of 109
  • Human-Computer Interaction 82
  • Media Technology 97
  • Architecture 10
  • Computer Vision and Pattern Recognition 119
  • Water Science and Technology 67
Replace Mario Nieto-Hidalgo with:
Mario Nieto-Hidalgo Spain
Shuai Yuan China
Kye-Hyun Kim South Korea
Young-Tae Park South Korea
Raúl Aquino-Santos Mexico
Parinya Sanguansat Thailand
Ralf Bill Germany
Md. Rashedul Islam Bangladesh
Shivam Gupta India
Yanjun Zhu China
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Citations per field
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Citations per year

Countries citing papers authored by Marco Márquez

Since Specialization
Citations

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

Fields of papers citing papers by Marco Márquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010178
2 202078
3 201748
4 199446
5 201238
6 201035
7 202124
8 199920
9 201815
10 200013
11 202311
12 201810
13 20159
14 20159
15 19977
16 20197
17 20216
18 20206
19 20174
20 20124

About Marco Márquez

Marco Márquez is a scholar working on Media Technology, Biomedical Engineering, Computer Networks and Communications, Electrical and Electronic Engineering and Water Science and Technology, having authored 26 papers that have together received 578 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (7 papers), Metal Extraction and Bioleaching (3 papers), IoT and Edge/Fog Computing (3 papers), Advanced MEMS and NEMS Technologies (3 papers), Flood Risk Assessment and Management (2 papers), Soil erosion and sediment transport (2 papers), Minerals Flotation and Separation Techniques (2 papers) and Hydrology and Watershed Management Studies (2 papers). The work is most often cited by research in Human-Computer Interaction (82 citations), Media Technology (97 citations), Architecture (10 citations), Computer Vision and Pattern Recognition (119 citations) and Water Science and Technology (67 citations). Marco Márquez has collaborated with scholars based in Spain, Brazil and United States. Frequent co-authors include Andrés Mejías, José Manuel Andújar, Reyes S. Herrera, Joanna Burger, Michael Gochfeld, Paolo Ramoni‐Perazzi, A. L. Morales, Marinêz Isaac Marques, Karl‐Ludwig Schuchmann and Isaías González. Their work appears in journals such as IEEE Access, Review of Political Economy, IEEE Transactions on Industrial Informatics, Water and Bioresource Technology.

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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