M. Vidal

99 papers receiving 3.5k citations

M. Vidal's Hit Papers

Modeling PFAS Sorption in Soils Using Machine Learning 2025 · 24 citations
240Years since publication5101520

Peers

M. Vidal
Comparison fields: 5 of 114
  • Radiological and Ultrasound Technology 943
  • Pollution 1.3k
  • Environmental Chemistry 839
  • Geochemistry and Petrology 337
  • Inorganic Chemistry 785
Replace Anna Rigol with:
Anna Rigol Spain
Haiqing Liao China
M. J. Dudas Canada
Kathleen A. Schwehr United States
Gi Hoon Hong South Korea
Yves Thiry France
B. L. Sawhney United States
Marsha I. Sheppard Canada
Scott C. Brooks United States
Wenming Dong United States
M. Vidal relative to Anna Rigol Spain Anna Rigol's profile →
Citations per field
00.5×1.6×
Anna Rigol · 1×
Citations per year

Countries citing papers authored by M. Vidal

Since Specialization
Citations

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

Fields of papers citing papers by M. Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002363
2 2007361
3 2014309
4 2002148
5 2003147
6 2014118
7 199995
8 200992
9 202288
10 199484
11 199679
12 199978
13 200472
14 201672
15 200970
16 199868
17 201568
18 202161
19 200557
20 200853

About M. Vidal

M. Vidal is a scholar working on Global and Planetary Change, Radiological and Ultrasound Technology, Inorganic Chemistry, Pollution and Geochemistry and Petrology, having authored 99 papers that have together received 3.6k indexed citations. Recurring topics across this work include Radioactive contamination and transfer (48 papers), Radioactivity and Radon Measurements (46 papers), Radioactive element chemistry and processing (46 papers), Heavy metals in environment (25 papers), Nuclear and radioactivity studies (11 papers), Adsorption and biosorption for pollutant removal (6 papers), Toxic Organic Pollutants Impact (6 papers) and Analytical chemistry methods development (5 papers). The work is most often cited by research in Radiological and Ultrasound Technology (943 citations), Pollution (1.3k citations), Environmental Chemistry (839 citations), Geochemistry and Petrology (337 citations) and Inorganic Chemistry (785 citations). M. Vidal has collaborated with scholars based in Spain, Brazil and Belgium. Frequent co-authors include Anna Rigol, G. Rauret, J. Sastre, Sı́lvia Lacorte, Jelena Milinović, José Fermı́n López-Sánchez, A. Sahuquillo, J. Mateu, C.J. Gil-García and María Roig. Their work appears in journals such as Journal of Environmental Radioactivity, The Science of The Total Environment, Chemosphere, Environmental Science & Technology and Journal of Radioanalytical and Nuclear Chemistry.

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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