Girijesh Prasad

6.8k citations
200 papers · 5.0k indexed · h-index 38
Topics
EEG and Brain-Computer Interfaces (120 papers)Neural dynamics and brain function (54 papers)Neuroscience and Neural Engineering (38 papers)

In The Last Decade

Girijesh Prasad

190 papers receiving 4.8k citations

Peers

Girijesh Prasad
Comparison fields: 5 of 156
  • Cognitive Neuroscience 3.0k
  • Cellular and Molecular Neuroscience 1.2k
  • Artificial Intelligence 953
  • Electrical and Electronic Engineering 754
  • Signal Processing 646
Replace Ricardo Chavarriaga with:
Ricardo Chavarriaga Switzerland
Ganesh R. Naik Australia
Patrick van der Smagt Germany
Bart Jansen Belgium
Sadasivan Puthusserypady Denmark
Tomás Ward Ireland
Damien Coyle United Kingdom
Javier Escudero United Kingdom
Yingchun Zhang China
Girijesh Prasad relative to Ricardo Chavarriaga Switzerland Ricardo Chavarriaga's profile →
Citations per field
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Ricardo Chavarriaga · 1×
Citations per year

Countries citing papers authored by Girijesh Prasad

Since Specialization
Citations

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

Fields of papers citing papers by Girijesh Prasad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Girijesh Prasad

This figure shows the co-authorship network connecting the top 25 collaborators of Girijesh Prasad. A scholar is included among the top collaborators of Girijesh Prasad 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 Girijesh Prasad. Girijesh Prasad 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 0
2 9
3 6
4 3
5 46
6 27
7 66
8 79
9 26
10 38
11 32
12 2
13 4
14
P RW GEI: Poisson random walk based gait recognition
10
15 53
16 239
17
Internal Localisation Techniques using Wireless Networks: A Review
3
18
Critical Observations on Interval Type-2 Fuzzy Logic Approach to Uncertainty Handling in a Brain-Computer Interface Design
7
19 7
20 133

About Girijesh Prasad

Girijesh Prasad is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Signal Processing, having authored 200 papers that have together received 5.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (120 papers), Neural dynamics and brain function (54 papers) and Neuroscience and Neural Engineering (38 papers). The work is most often cited by research in Cognitive Neuroscience (3.0k citations), Human-Computer Interaction (629 citations) and Cellular and Molecular Neuroscience (1.2k citations). Girijesh Prasad has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include T.M. McGinnity, Damien Coyle, Pawel Herman, Gang Leng, Haider Raza, Hui Wang, KongFatt Wong‐Lin, Hubert Cecotti, Ram Bilas Pachori and Pramod Gaur. Their work appears in journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

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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