Gian-Marco Baschera

616 citations
12 papers · 387 · h-index 9

Impact in

Papers in

Gian-Marco Baschera

12 papers receiving 371 citations

Peers

Gian-Marco Baschera
Comparison fields: 5 of 54
  • Cognitive Neuroscience 241
  • Psychiatry and Mental health 167
  • Statistics and Probability 67
  • Developmental and Educational Psychology 89
  • Computer Science Applications 19
Replace Katharina Dressel with:
Katharina Dressel Germany
Gustaf Öqvist Seimyr Sweden
Matthias Schwaighofer Germany
Silvia Bonacina United States
Hannah E. Roome United Kingdom
Friederike Blume Germany
Tongran Liu China
Gojko Žarić Netherlands
Charalampos Skianis Greece
Gian-Marco Baschera relative to Katharina Dressel Germany Katharina Dressel's profile →
Citations per field
00.5×9.5×
Katharina Dressel · 1×
Citations per year

Countries citing papers authored by Gian-Marco Baschera

Since Specialization
Citations

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

Fields of papers citing papers by Gian-Marco Baschera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gian-Marco Baschera. 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 Gian-Marco Baschera. The network helps show where Gian-Marco Baschera may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2010114
2 201175
3 201371
4 201138
5 201933
6 201314
7 202210
8 20158
9 20178
10 20107
11 20137
12 20092

About Gian-Marco Baschera

Gian-Marco Baschera is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Psychiatry and Mental health, Developmental and Educational Psychology and Statistics and Probability, having authored 12 papers that have together received 387 indexed citations. Recurring topics across this work include Attention Deficit Hyperactivity Disorder (3 papers), EEG and Brain-Computer Interfaces (3 papers), Neural and Behavioral Psychology Studies (3 papers), Cognitive and developmental aspects of mathematical skills (3 papers), Natural Language Processing Techniques (2 papers), Mathematics Education and Teaching Techniques (2 papers), Reading and Literacy Development (2 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). The work is most often cited by research in Cognitive Neuroscience (241 citations), Psychiatry and Mental health (167 citations), Statistics and Probability (67 citations), Developmental and Educational Psychology (89 citations) and Computer Science Applications (19 citations). Gian-Marco Baschera has collaborated with scholars based in Switzerland, Germany and Russia. Frequent co-authors include Gian Candrian, Juri D. Kropotov, Andreas Mueller, В. А. Пономарев, Markus Groß, Tanja Käser, Karin Kucian, Michael von Aster, Juliane Kohn and Martin Meyer. Their work appears in journals such as International Journal of Artificial Intelligence in Education, International Journal of Psychophysiology, Annals of Dyslexia, Frontiers in Psychology and Neuroreport.

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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