A. Maul

29 papers receiving 645 citations

Peers

A. Maul
Comparison fields: 5 of 97
  • Infectious Diseases 263
  • Water Science and Technology 207
  • Health, Toxicology and Mutagenesis 120
  • Endocrinology 42
  • Industrial and Manufacturing Engineering 71
Replace J. M. López-Pila with:
J. M. López-Pila Germany
Donald Berman United States
E. Katzenelson Israel
Charles A. Sorber United States
Marie-Paule Caprais France
Emily Viau United States
Megan Devane New Zealand
R. D. Ellender United States
Sharon C. Long United States
Kelley Riley United States
A. Maul relative to J. M. López-Pila Germany J. M. López-Pila's profile →
Citations per field
00.5×1.6×
J. M. López-Pila · 1×
Citations per year

Countries citing papers authored by A. Maul

Since Specialization
Citations

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

Fields of papers citing papers by A. Maul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998145
2 200272
3 200167
4 198550
5 199544
6 200444
7 199739
8 200236
9 198524
10 200123
11 201720
12 199920
13 199217
14 198316
15 200714
16 199813
17
Microbiological analysis in water distribution networks : sampling strategies, methods and computer programs
199112
18 198512
19 19948
20 19907

About A. Maul

A. Maul is a scholar working on Infectious Diseases, Water Science and Technology, Cardiology and Cardiovascular Medicine, Ecology and Health, Toxicology and Mutagenesis, having authored 29 papers that have together received 717 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (9 papers), Fecal contamination and water quality (8 papers), Viral Infections and Immunology Research (6 papers), Water Treatment and Disinfection (4 papers), Statistical Methods and Bayesian Inference (3 papers), Respiratory viral infections research (3 papers), Bacteriophages and microbial interactions (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Infectious Diseases (263 citations), Water Science and Technology (207 citations), Health, Toxicology and Mutagenesis (120 citations), Endocrinology (42 citations) and Industrial and Manufacturing Engineering (71 citations). A. Maul has collaborated with scholars based in France, Canada and United States. Frequent co-authors include L. Schwartzbrod, Christophe Gantzer, J. C. Block, A. H. El‐Shaarawi, J.M. Audic, Virginie Ferré, Serge Monpoeho, Sylviane Billaudel, Y. Lévi and Sylvain Skraber. Their work appears in journals such as Applied and Environmental Microbiology, The Science of The Total Environment, Environmental Monitoring and Assessment, Environmetrics 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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