Fazeel Abid

605 total citations
26 papers, 403 citations indexed

About

Fazeel Abid is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Fazeel Abid has authored 26 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Fazeel Abid's work include Sentiment Analysis and Opinion Mining (5 papers), Topic Modeling (5 papers) and Music Technology and Sound Studies (4 papers). Fazeel Abid is often cited by papers focused on Sentiment Analysis and Opinion Mining (5 papers), Topic Modeling (5 papers) and Music Technology and Sound Studies (4 papers). Fazeel Abid collaborates with scholars based in Pakistan, China and Saudi Arabia. Fazeel Abid's co-authors include Muhammad Alam, Li Chen, Chen Li, Jawad Rasheed, Adnan Raza Altaf, Haipeng Teng, Yusuf G. Adewuyi, Xiaofeng Wang, Farooq Ahmad and Ikram Ud Din and has published in prestigious journals such as IEEE Access, International Journal of Remote Sensing and Future Generation Computer Systems.

In The Last Decade

Fazeel Abid

26 papers receiving 383 citations

Peers

Fazeel Abid
Comparison fields: 5 of 96
  • Artificial Intelligence 206
  • Computer Vision and Pattern Recognition 60
  • Signal Processing 58
  • Information Systems 47
  • Health, Toxicology and Mutagenesis 33
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Shuang Han China
Rui Máximo Esteves Norway
Mayank Jain India
Sreenivas Sremath Tirumala New Zealand
Shudong Yang China
Xiangjun Liu China
S. Revathy India
Moon-Hyun Kim South Korea
Przemysław Falkowski‐Gilski Poland
Felix Andika Dwiyanto Indonesia
Shuang Han China View profile →
Citations per field, relative to Fazeel Abid
Fazeel Abid · 1×
Citations per year, relative to Fazeel Abid
Fazeel Abid · 1×

Countries citing papers authored by Fazeel Abid

Since Specialization
Citations

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

Fields of papers citing papers by Fazeel Abid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fazeel Abid

This figure shows the co-authorship network connecting the top 25 collaborators of Fazeel Abid. A scholar is included among the top collaborators of Fazeel Abid 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 Fazeel Abid. Fazeel Abid 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
# Work Indexed citations
1 1
2 1
3 1
4 3
5 34
6 1
7 9
8 12
9 1
10 37
11 5
12 21
13 5
14 6
15 1
16 10
17 3
18 46
19 23
20 102

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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