C. Maya

605 citations
18 papers · 387 · h-index 11

Impact in

Papers in

C. Maya

18 papers receiving 354 citations

Peers

C. Maya
Comparison fields: 5 of 65
  • Parasitology 114
  • Industrial and Manufacturing Engineering 117
  • Water Science and Technology 130
  • Nutrition and Dietetics 92
  • Health, Toxicology and Mutagenesis 48
Replace Khadija Bouhoum with:
Khadija Bouhoum Morocco
Robert S. Reimers United States
Omar Amahmid Morocco
Annika Nordin Sweden
Fernando Méndez-Hermida Spain
Dayéri Dianou Burkina Faso
Stephen A. Schaub United States
Garry Palmateer Canada
Lyndon L. Gyürék Canada
Al Dufour United States
C. Maya relative to Khadija Bouhoum Morocco Khadija Bouhoum's profile →
Citations per field
00.5×2.8×
Khadija Bouhoum · 1×
Citations per year

Countries citing papers authored by C. Maya

Since Specialization
Citations

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

Fields of papers citing papers by C. Maya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside C. Maya, 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 C. Maya Line = papers co-authored together C. Maya links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201259
2 201646
3 201045
4 200443
5 200232
6 200427
7 200622
8 202022
9 200319
10 200718
11 200016
12 200610
13 20207
14 20017
15 20195
16 20244
17 20064
18 20211

About C. Maya

C. Maya is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health and Nutrition and Dietetics, having authored 18 papers that have together received 387 indexed citations. Recurring topics across this work include Wastewater Treatment and Reuse (8 papers), Fecal contamination and water quality (7 papers), Water Treatment and Disinfection (3 papers), Child Nutrition and Water Access (3 papers), Healthcare and Environmental Waste Management (3 papers), Membrane Separation Technologies (2 papers), Coagulation and Flocculation Studies (2 papers) and Parasites and Host Interactions (2 papers). The work is most often cited by research in Parasitology (114 citations), Industrial and Manufacturing Engineering (117 citations), Water Science and Technology (130 citations), Nutrition and Dietetics (92 citations) and Health, Toxicology and Mutagenesis (48 citations). C. Maya has collaborated with scholars based in Mexico, Canada and India. Frequent co-authors include Blanca Jiménez, J.A. Barrios, Alma C. Chávez-Mejía, Eric Hernández, Javier Méndez, J. Schwartzbrod, Fernando Arámbula Cosı́o, Fredrik Törner, Patricia Bonilla and Francisco J. Rodríguez‐Valadez. Their work appears in journals such as Water Science & Technology, Experimental Parasitology, Chemosphere, Water Environment Research and Water Research.

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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