Qaiser Abbas

563 citations
35 papers · 297 · h-index 10

Impact in

Papers in

Qaiser Abbas

33 papers receiving 266 citations

Peers

Qaiser Abbas
Comparison fields: 5 of 62
  • Artificial Intelligence 162
  • Computer Networks and Communications 80
  • Information Systems 78
  • Signal Processing 35
  • Computer Vision and Pattern Recognition 59
Replace Ali A. Amer with:
Ali A. Amer Yemen
Nien‐Lin Hsueh Taiwan
G. R. Roelofs United States
Shi-Kuo Chang United States
Peter Ørbæk Denmark
S. R. Subramanya United States
Seyed Mostafa Fakhrahmad Iran
Jens Lincke Germany
Xing Jiang Singapore
Sachin Lodha India
Qaiser Abbas relative to Ali A. Amer Yemen Ali A. Amer's profile →
Citations per field
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Ali A. Amer · 1×
Citations per year

Countries citing papers authored by Qaiser Abbas

Since Specialization
Citations

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

Fields of papers citing papers by Qaiser Abbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparative Study of Feature Selection Approaches for Urdu Text Categorization
201550
2 202245
3 201530
4 202321
5 202218
6 200912
7 201412
8 201512
9 202311
10 20149
11 20238
12 20237
13
A Computational Classification of Urdu Dynamic Copula Verb
20146
14 20226
15 20225
16 20255
17 20225
18 20235
19
The Impact of Socio-Emotional Intelligence Training on Teacher's Performance
20174
20 20144

About Qaiser Abbas

Qaiser Abbas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Social Psychology, having authored 35 papers that have together received 297 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers), Cloud Computing and Resource Management (4 papers), Speech and dialogue systems (4 papers), IoT and Edge/Fog Computing (3 papers), Graph Theory and Algorithms (3 papers), Blockchain Technology Applications and Security (3 papers) and Emotional Intelligence and Performance (3 papers). The work is most often cited by research in Artificial Intelligence (162 citations), Computer Networks and Communications (80 citations), Information Systems (78 citations), Signal Processing (35 citations) and Computer Vision and Pattern Recognition (59 citations). Qaiser Abbas has collaborated with scholars based in Pakistan, Saudi Arabia and Germany. Frequent co-authors include Tehseen Zia, Tahir Alyas, Muhammad Pervez Akhter, Nadia Tabassum, Khalid Alissa, Yazed Alsaawy, Kashif Zafar, Turki Alghamdi, Ghulam Raza and Muhammad Waseem Iqbal. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Scientific Reports, IEEE Access, Applied Sciences and Sensors.

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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