Ali Bashashati

18.8k citations
83 papers · 3.9k · 1 hit paper · h-index 31

Impact in

Papers in

Ali Bashashati

79 papers receiving 3.8k citations

Ali Bashashati's Hit Papers

A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals 2007 · 623 citations
6230+6+12Years since publication200400600

Peers

Ali Bashashati
Comparison fields: 5 of 146
  • Cognitive Neuroscience 1.6k
  • Human-Computer Interaction 292
  • Cancer Research 585
  • Cellular and Molecular Neuroscience 733
  • Signal Processing 382
Replace Eric Lee with:
Eric Lee United States
Xiaopei Liu China
Richard A. Young United States
Jung Kim United States
Liya Ding China
Takayuki Iwamoto Japan
Takayuki Itoh Japan
Matthew D. Wilkerson United States
Timo Hannay United States
Ali Bashashati relative to Eric Lee United States Eric Lee's profile →
Citations per field
00.5×10×15×21.2×
Eric Lee · 1×
Citations per year

Countries citing papers authored by Ali Bashashati

Since Specialization
Citations

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

Fields of papers citing papers by Ali Bashashati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals
Hit paper breakdown →
2007623
2 2006431
3 2006212
4 2012211
5 2019171
6 2012156
7 2004133
8 2019129
9 2012119
10 2015119
11 2017112
12 2008106
13 200992
14 200987
15 201185
16 200978
17 201569
18 201968
19 202357
20 201548

About Ali Bashashati

Ali Bashashati is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Molecular Biology, Cellular and Molecular Neuroscience and Oncology, having authored 83 papers that have together received 3.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (25 papers), AI in cancer detection (19 papers), Neuroscience and Neural Engineering (18 papers), Advanced Memory and Neural Computing (11 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Cancer Genomics and Diagnostics (10 papers), Neural dynamics and brain function (9 papers) and Gene expression and cancer classification (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Human-Computer Interaction (292 citations), Cancer Research (585 citations), Cellular and Molecular Neuroscience (733 citations) and Signal Processing (382 citations). Ali Bashashati has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Gary E. Birch, Rabab Ward, Mehrdad Fatourechi, Sohrab P. Shah, Ryan R. Brinkman, S.G. Mason, Samuel Aparício, David G. Huntsman, Jiarui Ding and Gavin Ha. Their work appears in journals such as Gynecologic Oncology, Blood, Journal of Neural Engineering, Nature Communications and The Journal of Pathology.

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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