M.C. Márquez

46 papers receiving 1.6k citations

Peers

M.C. Márquez
Comparison fields: 5 of 118
  • Industrial and Manufacturing Engineering 446
  • Pollution 173
  • Aquatic Science 107
  • Building and Construction 197
  • Water Science and Technology 181
Replace Silvio Matassa with:
Silvio Matassa Italy
Xiaochen Ma China
Bernd Linke Germany
Chao Xu China
Taner Şar Sweden
Christiane Herrmann Germany
Mingxiong He China
Henry Joseph Oduor Ogola South Africa
P. Ramos Spain
Kazutaka Umetsu Japan
M.C. Márquez relative to Silvio Matassa Italy Silvio Matassa's profile →
Citations per field
00.5×4.4×
Silvio Matassa · 1×
Citations per year

Countries citing papers authored by M.C. Márquez

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Márquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006172
2 2005167
3 2013137
4 201198
5 200684
6 199981
7 200980
8 201376
9 202075
10 199757
11 200951
12 201041
13 200039
14 201538
15 201136
16 200235
17 199835
18 201734
19 199633
20 201031

About M.C. Márquez

M.C. Márquez is a scholar working on Molecular Biology, Industrial and Manufacturing Engineering, Food Science, Pollution and Ecology, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (6 papers), Meat and Animal Product Quality (6 papers), Recycling and Waste Management Techniques (5 papers), Composting and Vermicomposting Techniques (5 papers), Microbial Community Ecology and Physiology (5 papers), Genomics and Phylogenetic Studies (5 papers), Food Waste Reduction and Sustainability (4 papers) and Municipal Solid Waste Management (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (446 citations), Pollution (173 citations), Aquatic Science (107 citations), Building and Construction (197 citations) and Water Science and Technology (181 citations). M.C. Márquez has collaborated with scholars based in Spain, United States and Venezuela. Frequent co-authors include Carlos Costa, P. Ramos, B.E. Barragán, António Ventosa, Martha Vâzquez, Davide Tonini, Thomas Fruergaard Astrup, Rocío Maceiras, Milena A. Vega and David R. Arahal. Their work appears in journals such as Waste Management, Environmental Modeling & Assessment, Canadian Journal of Microbiology, Waste and Biomass Valorization and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

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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