C. Maas

838 citations
22 papers · 365 · h-index 13

Impact in

Papers in

C. Maas

22 papers receiving 340 citations

Peers

C. Maas
Comparison fields: 5 of 71
  • Environmental Engineering 234
  • Research and Theory 11
  • Geochemistry and Petrology 44
  • Leadership and Management 8
  • Pollution 55
Replace G. Lods with:
G. Lods France
Stan Feenstra Canada
Chan–Hee Park South Korea
Gerald K. Boman United States
Johnny Fredericia Denmark
Carmine Fallico Italy
Christopher V. Henri United States
Laura Guadagnini Italy
Benjamin Belfort France
Paul Ellis United Kingdom
C. Maas relative to G. Lods France G. Lods's profile →
Citations per field
00.5×4.6×
G. Lods · 1×
Citations per year

Countries citing papers authored by C. Maas

Since Specialization
Citations

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

Fields of papers citing papers by C. Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198750
2 202341
3 198629
4 198725
5 198725
6 202224
7 198724
8 201718
9 201218
10 201018
11 200816
12
On Convolutional Processes and Dispersive Groundwater Flow
199412
13 199912
14 200811
15 20238
16 20238
17 20218
18 20217
19 19944
20 20243

About C. Maas

C. Maas is a scholar working on Environmental Engineering, Pollution, Mechanical Engineering, Ocean Engineering and Water Science and Technology, having authored 22 papers that have together received 365 indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (11 papers), Smart Materials for Construction (7 papers), Urban Stormwater Management Solutions (6 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers), Reservoir Engineering and Simulation Methods (4 papers), Groundwater and Isotope Geochemistry (3 papers), Geophysical and Geoelectrical Methods (2 papers) and Hydrology and Watershed Management Studies (2 papers). The work is most often cited by research in Environmental Engineering (234 citations), Research and Theory (11 citations), Geochemistry and Petrology (44 citations), Leadership and Management (8 citations) and Pollution (55 citations). C. Maas has collaborated with scholars based in United States, Netherlands and Ghana. Frequent co-authors include E. J. M. Veling, Sujay S. Kaushal, Paul M. Mayer, Alexis M. Yaculak, Jenna E. Reimer, A. Leijnse, S.E.A.T.M. van der Zee, Ryan M. Utz, Stanley B. Grant and Gene E. Likens. Their work appears in journals such as Journal of Hydrology, Water Resources Research, Frontiers in Environmental Science, Water and Environmental Monitoring and Assessment.

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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