Mark N. Gasson

971 citations
26 papers · 570 indexed · h-index 13
Topics
Neuroscience and Neural Engineering (15 papers)EEG and Brain-Computer Interfaces (13 papers)Neurological disorders and treatments (6 papers)

In The Last Decade

Mark N. Gasson

25 papers receiving 523 citations

Peers

Mark N. Gasson
Comparison fields: 5 of 107
  • Cognitive Neuroscience 262
  • Cellular and Molecular Neuroscience 230
  • Biomedical Engineering 166
  • Neurology 99
  • Artificial Intelligence 48
Replace Pitshaporn Leelaarporn with:
Pitshaporn Leelaarporn Germany
B. Hutt United Kingdom
Edward Jacek Gorzelańczyk Poland
J. Ignacio Serrano Spain
Lester A. Gerhardt United States
Carlos A. Reyes-García Mexico
Enrique Hortal Spain
Md. Rabiul Islam Bangladesh
Tomasz Maszczyk Singapore
Amar R. Marathe United States
Mark N. Gasson relative to Pitshaporn Leelaarporn Germany Pitshaporn Leelaarporn's profile →
Citations per field
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Pitshaporn Leelaarporn · 1×
Citations per year

Countries citing papers authored by Mark N. Gasson

Since Specialization
Citations

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

Fields of papers citing papers by Mark N. Gasson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark N. Gasson. 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 Mark N. Gasson. The network helps show where Mark N. Gasson may publish in the future.

Co-authorship network of co-authors of Mark N. Gasson

This figure shows the co-authorship network connecting the top 25 collaborators of Mark N. Gasson. A scholar is included among the top collaborators of Mark N. Gasson 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 Mark N. Gasson. Mark N. Gasson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 16
3 103
4 12
5 17
6 20
7 62
8
ICT implants: the invasive future of identity?
4
9 2
10
Prediction of Parkinson's disease tremor onset using artificial neural networks
12
11 2
12 0
13 12
14 1
15 6
16
Report on actual and possible profiling techniques in the field of ambient intelligence
7
17
Human-machine symbiosis overview
2
18 39
19 34
20 129

About Mark N. Gasson

Mark N. Gasson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Architecture, having authored 26 papers that have together received 570 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (15 papers), EEG and Brain-Computer Interfaces (13 papers) and Neurological disorders and treatments (6 papers). The work is most often cited by research in Cognitive Neuroscience (262 citations), Cellular and Molecular Neuroscience (230 citations) and Neurology (99 citations). Mark N. Gasson has collaborated with scholars based in United Kingdom, Belgium and Netherlands. Frequent co-authors include Kevin Warwick, Peter Kyberd, B. Hutt, Tipu Z. Aziz, Peter J. Teddy, Amjad Shad, Defeng Wu, Zi Ma, Bert‐Jaap Koops and Eleni Kosta. Their work appears in journals such as Parkinsonism & Related Disorders, IEEE Robotics & Automation Magazine and International Journal of Adaptive Control and Signal Processing.

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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