Alessandro Concas

111 papers receiving 2.5k citations

Hit Papers

Knitting and weaving artificial muscles 2017 · 320 citations
3202017202620202023100200300

Peers

Alessandro Concas
Comparison fields: 5 of 150
  • Behavioral Neuroscience 218
  • Renewable Energy, Sustainability and the Environment 707
  • Environmental Chemistry 240
  • Cellular and Molecular Neuroscience 385
  • Pollution 223
Replace Mathias Ernst with:
Mathias Ernst Germany
Ni Yan United States
Xiaolei Zhang China
Yi Zhang China
Donghai Wu China
Abdul Mohammed Sweden
Zhihui Yang China
Xiaoyan Liu China
J.M. Palacios Spain
Xian‐Wei Liu China
Alessandro Concas relative to Mathias Ernst Germany Mathias Ernst's profile →
Citations per field
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Mathias Ernst · 1×
Citations per year

Countries citing papers authored by Alessandro Concas

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Concas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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About Alessandro Concas

Alessandro Concas is a scholar working on Renewable Energy, Sustainability and the Environment, Environmental Chemistry, Behavioral Neuroscience, Cellular and Molecular Neuroscience and Modeling and Simulation, having authored 118 papers that have together received 2.6k indexed citations. Recurring topics across this work include Algal biology and biofuel production (48 papers), Aquatic Ecosystems and Phytoplankton Dynamics (13 papers), Neuroscience and Neuropharmacology Research (12 papers), Marine and coastal ecosystems (7 papers), Spaceflight effects on biology (6 papers), 3D Printing in Biomedical Research (6 papers), Stress Responses and Cortisol (5 papers) and Mineral Processing and Grinding (5 papers). The work is most often cited by research in Behavioral Neuroscience (218 citations), Renewable Energy, Sustainability and the Environment (707 citations), Environmental Chemistry (240 citations), Cellular and Molecular Neuroscience (385 citations) and Pollution (223 citations). Alessandro Concas has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Giacomo Cao, Massimo Pisu, Giovanni Biggio, Mariangela Serra, Giovanni Antonio Lutzu, Nils‐Krister Persson, Alexandre Khaldi, Jonas Stålhand, Edwin W. H. Jager and Ali Maziz. Their work appears in journals such as Chemical Engineering Journal, Chemical Engineering Science, Marine Drugs, Journal of environmental chemical engineering and Environmental Science and Pollution 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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