Ali Hassan

1.7k citations
91 papers · 1.1k indexed · h-index 19
Topics
EEG and Brain-Computer Interfaces (14 papers)Neuroscience and Neural Engineering (8 papers)Image Retrieval and Classification Techniques (7 papers)

In The Last Decade

Ali Hassan

75 papers receiving 1.1k citations

Peers

Ali Hassan
Comparison fields: 5 of 136
  • Signal Processing 314
  • Cognitive Neuroscience 313
  • Artificial Intelligence 279
  • Computer Vision and Pattern Recognition 268
  • Experimental and Cognitive Psychology 142
Replace G. Castellanos-Domínguez with:
G. Castellanos-Domínguez Colombia
Tharindu Fernando Australia
Sugata Munshi India
Baha Şen Türkiye
Humaira Nisar Malaysia
Türker Tuncer Türkiye
Maheshkumar H. Kolekar India
Musa Peker Türkiye
Chee‐Ming Ting Malaysia
Abhay Upadhyay India
Ali Hassan relative to G. Castellanos-Domínguez Colombia G. Castellanos-Domínguez's profile →
Citations per field
00.5×1.5×
G. Castellanos-Domínguez · 1×
Citations per year

Countries citing papers authored by Ali Hassan

Since Specialization
Citations

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

Fields of papers citing papers by Ali Hassan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Hassan

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Hassan. A scholar is included among the top collaborators of Ali Hassan 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 Ali Hassan. Ali Hassan 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 0
3 1
4 1
5 0
6 0
7 1
8 1
9 0
10 7
11 0
12 1
13 0
14 1
15 26
16 2
17 18
18 19
19 21
20 1

About Ali Hassan

Ali Hassan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Health Information Management, having authored 91 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Neuroscience and Neural Engineering (8 papers) and Image Retrieval and Classification Techniques (7 papers). The work is most often cited by research in Signal Processing (314 citations), Cognitive Neuroscience (313 citations) and Computer Vision and Pattern Recognition (268 citations). Ali Hassan has collaborated with scholars based in Pakistan, United Kingdom and United States. Frequent co-authors include Farhan Riaz, Saad Rehman, Imran Khan Niazi, R.I. Damper, Kim Dremstrup, Mahesan Niranjan, Usman Qamar, Miguel Coimbra, Muhammad Imran and Muhammad Ajmal Azad. Their work appears in journals such as Journal of Clinical Oncology, Blood and IEEE Access.

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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