Usman Qamar

3.8k total citations · 1 hit paper
141 papers, 2.5k citations indexed

About

Usman Qamar is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Usman Qamar has authored 141 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 63 papers in Information Systems and 21 papers in Computational Theory and Mathematics. Recurrent topics in Usman Qamar's work include Data Mining Algorithms and Applications (26 papers), Rough Sets and Fuzzy Logic (21 papers) and Sentiment Analysis and Opinion Mining (19 papers). Usman Qamar is often cited by papers focused on Data Mining Algorithms and Applications (26 papers), Rough Sets and Fuzzy Logic (21 papers) and Sentiment Analysis and Opinion Mining (19 papers). Usman Qamar collaborates with scholars based in Pakistan, United States and United Kingdom. Usman Qamar's co-authors include Saba Bashir, Farhan Hassan Khan, Ayesha Khalid, Muhammad Summair Raza, Muhammad Younus Javed, Muhammad Usman, Ali Hassan, Saad Rehman, Farhan Riaz and Abdul Wahab Muzaffar and has published in prestigious journals such as PLoS ONE, IEEE Access and Pattern Recognition.

In The Last Decade

Usman Qamar

133 papers receiving 2.4k citations

Hit Papers

Using Blockchain for Electronic Health Records 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Usman Qamar Pakistan 27 1.3k 915 396 310 214 141 2.5k
Aytuğ Onan Türkiye 27 2.9k 2.2× 769 0.8× 325 0.8× 215 0.7× 176 0.8× 96 4.5k
Vili Podgorelec Slovenia 20 938 0.7× 443 0.5× 158 0.4× 154 0.5× 132 0.6× 115 2.2k
Rahul Katarya India 25 1.0k 0.8× 715 0.8× 253 0.6× 335 1.1× 44 0.2× 142 2.3k
Carson K. Leung Canada 39 2.1k 1.6× 2.0k 2.2× 344 0.9× 508 1.6× 614 2.9× 295 4.4k
W. Nick Street United States 25 2.6k 2.0× 581 0.6× 216 0.5× 245 0.8× 262 1.2× 93 4.0k
Piyush Kumar Shukla India 30 842 0.6× 369 0.4× 134 0.3× 587 1.9× 80 0.4× 181 2.8k
Bianca Zadrozny United States 22 2.9k 2.2× 561 0.6× 134 0.3× 206 0.7× 142 0.7× 56 3.9k
Rayid Ghani United States 25 1.5k 1.2× 544 0.6× 111 0.3× 114 0.4× 62 0.3× 76 2.5k
Chang-Shing Lee Taiwan 26 1.5k 1.1× 766 0.8× 147 0.4× 237 0.8× 139 0.6× 135 2.5k
Atta Rahman Saudi Arabia 28 761 0.6× 389 0.4× 163 0.4× 540 1.7× 53 0.2× 163 2.4k

Countries citing papers authored by Usman Qamar

Since Specialization
Citations

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

Fields of papers citing papers by Usman Qamar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Usman Qamar

This figure shows the co-authorship network connecting the top 25 collaborators of Usman Qamar. A scholar is included among the top collaborators of Usman Qamar 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 Usman Qamar. Usman Qamar 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
1.
Butt, Wasi Haider, et al.. (2025). The price of innovation: Decoding organizational stressors and strains in the lives of software professionals. Journal of Workplace Behavioral Health. 40(4). 1308–1355.
2.
Qamar, Usman, et al.. (2025). A novel smart street intervention mechanism using clustering-based path optimization for street networks. Knowledge-Based Systems. 311. 113065–113065.
3.
Qamar, Usman & Muhammad Summair Raza. (2024). Applied Text Mining. 1 indexed citations
4.
Qamar, Usman, et al.. (2024). An incremental approach for calculating dominance-based rough set dependency. Soft Computing. 28(5). 3757–3781. 2 indexed citations
5.
Qamar, Usman & Muhammad Summair Raza. (2023). Data Science Concepts and Techniques with Applications. 4 indexed citations
6.
Qamar, Usman & Muhammad Summair Raza. (2023). A computationally efficient approximation calculation method in dominance-based rough set approach. Applied Soft Computing. 148. 110926–110926. 2 indexed citations
8.
Qamar, Usman, et al.. (2021). Phonocardiogram signal analysis for classification of Coronary Artery Diseases using MFCC and 1D adaptive local ternary patterns. Computers in Biology and Medicine. 138. 104926–104926. 35 indexed citations
10.
Qamar, Usman, et al.. (2018). HCF-CRS: A Hybrid Content based Fuzzy Conformal Recommender System for providing recommendations with confidence. PLoS ONE. 13(10). e0204849–e0204849. 29 indexed citations
11.
Qamar, Usman, et al.. (2016). HL7 FHIR Compliant Data Access Model for Maternal Health Information System. 51–56. 8 indexed citations
12.
Qamar, Usman, et al.. (2015). Data flow based test case generation algorithm for object oriented integration testing. 423–427. 5 indexed citations
13.
Khan, Farhan Hassan, Usman Qamar, & Saba Bashir. (2015). Building Normalized SentiMI to enhance semi-supervised sentiment analysis. Journal of Intelligent & Fuzzy Systems. 29(5). 1805–1816. 10 indexed citations
14.
Bashir, Saba, Usman Qamar, & Farhan Hassan Khan. (2015). IntelliHealth: A medical decision support application using a novel weighted multi-layer classifier ensemble framework. Journal of Biomedical Informatics. 59. 185–200. 107 indexed citations
15.
Butt, Wasi Haider, et al.. (2014). Terrorist Group Prediction Using Data Classification. International Conference on Artificial Intelligence. 199–208. 11 indexed citations
16.
Qamar, Usman, et al.. (2014). An Approach to Detect Spam Emails by Using Majority Voting. 76–83. 1 indexed citations
17.
Qamar, Usman, et al.. (2014). Inference Engine for Classification of Expert Systems Using Keyword Extraction Technique. International Conference on Artificial Intelligence. 56–71. 1 indexed citations
18.
Qamar, Usman, et al.. (2014). A text mining based approach for web service classification. Information Systems and e-Business Management. 13(4). 751–768. 23 indexed citations
19.
Bashir, Saba, Usman Qamar, Farhan Hassan Khan, & Mohammed Javed. (2014). MV5: A Clinical Decision Support Framework for Heart Disease Prediction Using Majority Vote Based Classifier Ensemble. Arabian Journal for Science and Engineering. 39(11). 7771–7783. 51 indexed citations
20.
Qamar, Usman, et al.. (2014). Developing an expert system based on association rules and predicate logic for earthquake prediction. Knowledge-Based Systems. 75. 87–103. 44 indexed citations

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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