P. Grau

1.0k citations
32 papers · 730 · h-index 16

Impact in

Papers in

P. Grau

31 papers receiving 703 citations

Peers

P. Grau
Comparison fields: 5 of 69
  • Industrial and Manufacturing Engineering 287
  • Pollution 367
  • Water Science and Technology 301
  • Building and Construction 123
  • Management Information Systems 52
Replace Tamara Fernández-Arévalo with:
Tamara Fernández-Arévalo Spain
Yun Peng China
Vincenzo Andrea Riggio Italy
Yun‐Chul Chung South Korea
Daniel Rolph Schneider Croatia
Tasnia Hassan Nazifa Malaysia
Wan‐Fa Yang Taiwan
Pi‐Cheng Chen Taiwan
Gaoshang Wang China
P. Grau relative to Tamara Fernández-Arévalo Spain Tamara Fernández-Arévalo's profile →
Citations per field
00.5×
Tamara Fernández-Arévalo · 1×
Citations per year

Countries citing papers authored by P. Grau

Since Specialization
Citations

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

Fields of papers citing papers by P. Grau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201783
2 201566
3 201265
4 200664
5 200761
6 201939
7 201935
8 200633
9 202327
10 201926
11 201423
12 200922
13 201918
14 200917
15 202116
16 200715
17 202014
18 201714
19 200714
20 202111

About P. Grau

P. Grau is a scholar working on Pollution, Industrial and Manufacturing Engineering, Water Science and Technology, Biomedical Engineering and Strategy and Management, having authored 32 papers that have together received 730 indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (22 papers), Membrane Separation Technologies (8 papers), Phosphorus and nutrient management (7 papers), Membrane-based Ion Separation Techniques (6 papers), Constructed Wetlands for Wastewater Treatment (5 papers), Sustainable Supply Chain Management (4 papers), Quality and Supply Management (3 papers) and Anaerobic Digestion and Biogas Production (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (287 citations), Pollution (367 citations), Water Science and Technology (301 citations), Building and Construction (123 citations) and Management Information Systems (52 citations). P. Grau has collaborated with scholars based in Spain, Canada and Belgium. Frequent co-authors include E. Ayesa, Peter A. Vanrolleghem, Tamara Fernández-Arévalo, Javier Santos, Andrés Muñoz‐Villamizar, C.J. Brouckaert, George A. Ekama, Elisabeth Viles, F. Fdz‐Polanco and David Ikumi. Their work appears in journals such as Water Research, Water Science & Technology, Environmental Modelling & Software, Journal of Water Process Engineering and International Journal of Productivity and Performance Management.

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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