Gian-Marco Baschera

616 total citations
12 papers, 387 citations indexed

About

Gian-Marco Baschera is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Psychiatry and Mental health. According to data from OpenAlex, Gian-Marco Baschera has authored 12 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 3 papers in Artificial Intelligence and 3 papers in Psychiatry and Mental health. Recurrent topics in Gian-Marco Baschera's work include Attention Deficit Hyperactivity Disorder (3 papers), Cognitive and developmental aspects of mathematical skills (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Gian-Marco Baschera is often cited by papers focused on Attention Deficit Hyperactivity Disorder (3 papers), Cognitive and developmental aspects of mathematical skills (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Gian-Marco Baschera collaborates with scholars based in Switzerland, Russia and Germany. Gian-Marco Baschera's co-authors include Gian Candrian, Juri D. Kropotov, Andreas Mueller, В. А. Пономарев, Markus Groß, Tanja Käser, Michael von Aster, Juliane Kohn, Karin Kucian and Martin Meyer and has published in prestigious journals such as Frontiers in Psychology, Neuroreport and International Journal of Psychophysiology.

In The Last Decade

Gian-Marco Baschera

12 papers receiving 371 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gian-Marco Baschera Switzerland 9 241 167 89 67 61 12 387
Gustaf Öqvist Seimyr Sweden 9 150 0.6× 24 0.1× 99 1.1× 26 0.4× 15 0.2× 17 347
Tongran Liu China 13 198 0.8× 42 0.3× 41 0.5× 21 0.3× 16 0.3× 39 414
Matthias Schwaighofer Germany 7 126 0.5× 35 0.2× 117 1.3× 40 0.6× 41 0.7× 7 316
Katharina Dressel Germany 10 252 1.0× 58 0.3× 163 1.8× 89 1.3× 34 0.6× 13 324
Asaf Bachrach France 13 265 1.1× 25 0.1× 173 1.9× 63 0.9× 43 0.7× 28 582
Anne Rau Germany 7 171 0.7× 25 0.1× 137 1.5× 28 0.4× 33 0.5× 8 301
R. I. Machinskaya Russia 10 214 0.9× 105 0.6× 69 0.8× 6 0.1× 23 0.4× 71 347
Aviah Gvion Israel 12 379 1.6× 29 0.2× 359 4.0× 102 1.5× 75 1.2× 33 504
Jeffrey G. Malins United States 14 352 1.5× 37 0.2× 277 3.1× 41 0.6× 15 0.2× 30 513

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-authorship network of co-authors of Gian-Marco Baschera

This figure shows the co-authorship network connecting the top 25 collaborators of Gian-Marco Baschera. A scholar is included among the top collaborators of Gian-Marco Baschera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gian-Marco Baschera. Gian-Marco Baschera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Candrian, Gian, et al.. (2022). Vigilance described by the time-on-task effect in EEG activity during a cued Go/NoGo task. International Journal of Psychophysiology. 183. 92–102. 10 indexed citations
2.
Müller, Andreas, et al.. (2019). EEG/ERP-based biomarker/neuroalgorithms in adults with ADHD: Development, reliability, and application in clinical practice. The World Journal of Biological Psychiatry. 21(3). 172–182. 33 indexed citations
3.
Candrian, Gian, Andreas Müller, Kyveli Kompatsiari, et al.. (2017). Longitudinal study of a NoGo-P3 event-related potential component following mild traumatic brain injury in adults. Annals of Physical and Rehabilitation Medicine. 61(1). 18–26. 8 indexed citations
4.
Müller, Andreas, Gian Candrian, Kyveli Kompatsiari, et al.. (2015). Altered cognitive processes in the acute phase of mTBI. Neuroreport. 26(16). 952–957. 8 indexed citations
5.
Käser, Tanja, Alberto Giovanni Busetto, Barbara Solenthaler, et al.. (2013). Modelling and Optimizing Mathematics Learning in Children. International Journal of Artificial Intelligence in Education. 23(1-4). 115–135. 14 indexed citations
6.
Käser, Tanja, Gian-Marco Baschera, Juliane Kohn, et al.. (2013). Design and evaluation of the computer-based training program Calcularis for enhancing numerical cognition. Frontiers in Psychology. 4. 489–489. 71 indexed citations
7.
Käser, Tanja, Gian-Marco Baschera, Alberto Giovanni Busetto, et al.. (2013). Towards a Framework for Modelling Engagement Dynamics in Multiple Learning Domains. International Journal of Artificial Intelligence in Education. 22(1-2). 59–83. 7 indexed citations
8.
Baschera, Gian-Marco, et al.. (2011). Computer-based learning of spelling skills in children with and without dyslexia. Annals of Dyslexia. 61(2). 177–200. 38 indexed citations
9.
10.
Mueller, Andreas, Gian Candrian, Juri D. Kropotov, В. А. Пономарев, & Gian-Marco Baschera. (2010). Classification of ADHD patients on the basis of independent ERP components using a machine learning system. PubMed. 4(S1). S1–S1. 114 indexed citations
11.
Baschera, Gian-Marco & Markus Groß. (2010). Poisson-Based Inference for Perturbation Models in Adaptive Spelling Training. International Journal of Artificial Intelligence in Education. 20(4). 333–360. 7 indexed citations
12.
Baschera, Gian-Marco & Markus Groß. (2009). A phoneme-based student model for adaptive spelling training. Repository for Publications and Research Data (ETH Zurich). 618. 614–616. 2 indexed citations

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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