Albert Solernou

28 papers receiving 548 citations

Peers

Albert Solernou
Comparison fields: 5 of 82
  • Safety, Risk, Reliability and Quality 107
  • Social Psychology 153
  • Automotive Engineering 70
  • Computational Theory and Mathematics 84
  • Molecular Biology 270
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Xia Zhao China
Eri Itoh Japan
Rafael S. Gonçalves United States
Helen M. Deeks United Kingdom
Mihee Lee United States
Jae-Young Jung South Korea
Paul Maier Germany
Danyi Wang United States
Yang Feng China
Naixin Li China
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Citations per year

Countries citing papers authored by Albert Solernou

Since Specialization
Citations

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

Fields of papers citing papers by Albert Solernou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200974
2 200953
3 201349
4 201943
5 200742
6 202334
7 202229
8 202126
9 201026
10 201823
11 201919
12 201319
13 202417
14 202216
15 202014
16 201114
17 201213
18 202410
19 20109
20 20136

About Albert Solernou

Albert Solernou is a scholar working on Safety, Risk, Reliability and Quality, Social Psychology, Automotive Engineering, Transportation and Molecular Biology, having authored 31 papers that have together received 559 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (13 papers), Traffic and Road Safety (11 papers), Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (6 papers), Safety Warnings and Signage (5 papers), Computational Drug Discovery Methods (3 papers), RNA and protein synthesis mechanisms (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (107 citations), Social Psychology (153 citations), Automotive Engineering (70 citations), Computational Theory and Mathematics (84 citations) and Molecular Biology (270 citations). Albert Solernou has collaborated with scholars based in United Kingdom, Spain and Netherlands. Frequent co-authors include Juan Fernández‐Recio, Carles Pons, Laura Pérez‐Cano, Solène Grosdidier, Natasha Merat, Yee Mun Lee, Richard A. Romano, Gustav M. Markkula, Jim Uttley and Ruth Madigan. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Accident Analysis & Prevention, Transportation Research Part F Traffic Psychology and Behaviour, PLoS Computational Biology and Applied Ergonomics.

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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