Samuel Pinya

51 papers receiving 861 citations

Peers

Samuel Pinya
Comparison fields: 5 of 106
  • Pollution 361
  • Industrial and Manufacturing Engineering 107
  • Biochemistry 56
  • Health, Toxicology and Mutagenesis 122
  • Ecological Modeling 32
Replace Margareta Kračun‐Kolarević with:
Margareta Kračun‐Kolarević Serbia
Piotr Maszczyk Poland
Maria Pagano Italy
Carol P. Weisskopf United States
Fahim Ullah Khan China
Fernanda Ramlov Brazil
Yi Gong China
Gavin Rose Australia
Nicola Beresford United Kingdom
Paolo Cocci Italy
Samuel Pinya relative to Margareta Kračun‐Kolarević Serbia Margareta Kračun‐Kolarević's profile →
Citations per field
00.5×6.4×
Margareta Kračun‐Kolarević · 1×
Citations per year

Countries citing papers authored by Samuel Pinya

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Pinya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020187
2 2017144
3 201664
4 202246
5 202241
6 201637
7 201835
8 202233
9 202029
10 201918
11 202316
12 202115
13 201715
14 202013
15 202013
16 202212
17 202212
18 202012
19 202410
20 201810

About Samuel Pinya

Samuel Pinya is a scholar working on Ecology, Global and Planetary Change, Pollution, Ecology, Evolution, Behavior and Systematics and Ocean Engineering, having authored 59 papers that have together received 872 indexed citations. Recurring topics across this work include Microplastics and Plastic Pollution (12 papers), Amphibian and Reptile Biology (10 papers), Wildlife Ecology and Conservation (9 papers), Marine Biology and Environmental Chemistry (8 papers), Species Distribution and Climate Change (8 papers), Marine Ecology and Invasive Species (8 papers), Turtle Biology and Conservation (6 papers) and Marine and coastal plant biology (5 papers). The work is most often cited by research in Pollution (361 citations), Industrial and Manufacturing Engineering (107 citations), Biochemistry (56 citations), Health, Toxicology and Mutagenesis (122 citations) and Ecological Modeling (32 citations). Samuel Pinya has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Silvia Tejada, Xavier Capó, Antònia Solomando, Antoni Sureda, Josep A. Tur, Antoni Pons, José María Valencia, Montserrat Compa, Miquel Martorell and Salud Deudero. Their work appears in journals such as The Science of The Total Environment, Environmental Science and Pollution Research, Estuarine Coastal and Shelf Science, Toxics and Chemistry & Biodiversity.

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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