Muhammad Umer Sarwar

726 total citations
20 papers, 453 citations indexed

About

Muhammad Umer Sarwar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Muhammad Umer Sarwar has authored 20 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in Muhammad Umer Sarwar's work include Big Data and Business Intelligence (2 papers), Imbalanced Data Classification Techniques (2 papers) and Occupational and environmental lung diseases (2 papers). Muhammad Umer Sarwar is often cited by papers focused on Big Data and Business Intelligence (2 papers), Imbalanced Data Classification Techniques (2 papers) and Occupational and environmental lung diseases (2 papers). Muhammad Umer Sarwar collaborates with scholars based in Pakistan, Norway and Australia. Muhammad Umer Sarwar's co-authors include Ibrahim A. Hameed, Suhuai Luo, Talha Mahboob Alam, Kamran Shaukat, Zaheer Ahmed, Matloob Khushi, Jiaming Li, Farhat Iqbal, Muhammad Kashif Hanif and Muhammad Younas and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Applied Sciences.

In The Last Decade

Muhammad Umer Sarwar

19 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Umer Sarwar Pakistan 11 197 91 85 51 50 20 453
Yéhia Taher France 11 284 1.4× 61 0.7× 124 1.5× 86 1.7× 55 1.1× 36 456
Yee Ling Boo Australia 7 306 1.6× 73 0.8× 136 1.6× 73 1.4× 36 0.7× 22 522
Dženana Đonko Bosnia and Herzegovina 11 244 1.2× 79 0.9× 181 2.1× 32 0.6× 34 0.7× 50 532
Hassan Najadat Jordan 13 309 1.6× 41 0.5× 154 1.8× 37 0.7× 44 0.9× 54 559
Milton García-Borroto Mexico 14 357 1.8× 29 0.3× 190 2.2× 41 0.8× 61 1.2× 24 576
Makram Soui Tunisia 10 179 0.9× 22 0.2× 74 0.9× 103 2.0× 44 0.9× 35 397
Malek Alzaqebah Saudi Arabia 15 266 1.4× 70 0.8× 73 0.9× 13 0.3× 17 0.3× 42 566
Abdullah Alourani Saudi Arabia 12 124 0.6× 103 1.1× 98 1.2× 9 0.2× 25 0.5× 45 428
Yuan Zuo China 13 603 3.1× 77 0.8× 211 2.5× 16 0.3× 28 0.6× 42 776
M. P. Sebastian India 11 166 0.8× 152 1.7× 121 1.4× 9 0.2× 79 1.6× 44 504

Countries citing papers authored by Muhammad Umer Sarwar

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Umer Sarwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Umer Sarwar. 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 Muhammad Umer Sarwar. The network helps show where Muhammad Umer Sarwar may publish in the future.

Co-authorship network of co-authors of Muhammad Umer Sarwar

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Umer Sarwar. A scholar is included among the top collaborators of Muhammad Umer Sarwar 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 Muhammad Umer Sarwar. Muhammad Umer Sarwar 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.
Hanif, Muhammad Kashif, et al.. (2025). Evaluating the Effectiveness of Dimensionality Reduction on Machine Learning Algorithms in Time Series Forecasting. IEEE Access. 13. 50493–50510. 3 indexed citations
2.
3.
Younas, Muhammad, et al.. (2024). DP-CCL: A Supervised Contrastive Learning Approach Using CodeBERT Model in Software Defect Prediction. IEEE Access. 12. 22582–22594. 7 indexed citations
4.
Hanif, Muhammad Kashif, et al.. (2023). Aspect-Context Level Information Extraction via Transformer Based Interactive Attention Mechanism for Sentiment Classification. IEEE Access. 11. 57683–57692. 2 indexed citations
5.
Talib, Ramzan, et al.. (2023). A Multi-Kernel Optimized Convolutional Neural Network With Urdu Word Embedding to Detect Fake News. IEEE Access. 11. 142371–142382. 3 indexed citations
6.
Hanif, Muhammad Kashif, et al.. (2022). Employing Machine Learning‐Based Predictive Analytical Approaches to Classify Autism Spectrum Disorder Types. Complexity. 2022(1). 10 indexed citations
7.
8.
Tang, Xianlun, et al.. (2022). 3D Localization for Mobile Node in Wireless Sensor Network. Wireless Communications and Mobile Computing. 2022(1). 12 indexed citations
9.
Zubair, Muhammad, Muhammad Kashif Hanif, Eatedal Alabdulkreem, et al.. (2022). A Deep Learning Approach for Prediction of Protein Secondary Structure. Computers, materials & continua/Computers, materials & continua (Print). 72(2). 3705–3718. 1 indexed citations
10.
Alam, Talha Mahboob, et al.. (2021). A Novel Method for Performance Measurement of Public Educational Institutions Using Machine Learning Models. Applied Sciences. 11(19). 9296–9296. 32 indexed citations
11.
Saleem, Muhammad Asim, et al.. (2021). Deep Learning-Based Dynamic Stable Cluster Head Selection in VANET. Journal of Advanced Transportation. 2021. 1–21. 26 indexed citations
12.
Hanif, Muhammad Kashif, et al.. (2021). DarkDetect: Darknet Traffic Detection and Categorization Using Modified Convolution-Long Short-Term Memory. IEEE Access. 9. 113705–113713. 28 indexed citations
13.
Hanif, Muhammad Kashif, et al.. (2021). Employing Deep Learning and Time Series Analysis to Tackle the Accuracy and Robustness of the Forecasting Problem. Security and Communication Networks. 2021. 1–10. 13 indexed citations
14.
Alam, Talha Mahboob, Kamran Shaukat, Muhammad Umer Sarwar, et al.. (2021). A Machine Learning Approach for Identification of Malignant Mesothelioma Etiological Factors in an Imbalanced Dataset. The Computer Journal. 65(7). 1740–1751. 38 indexed citations
15.
Rafi, Saima, Muhammad Azeem Akbar, Yu Wu, et al.. (2021). Exploration of DevOps testing process capabilities: An ISM and fuzzy TOPSIS analysis. Applied Soft Computing. 116. 108377–108377. 24 indexed citations
16.
Hanif, Muhammad Kashif, et al.. (2021). Monitoring Population Phenology of Asian Citrus Psyllid Using Deep Learning. Complexity. 2021(1). 5 indexed citations
17.
Alam, Talha Mahboob, Kamran Shaukat, Ibrahim A. Hameed, et al.. (2021). A novel framework for prognostic factors identification of malignant mesothelioma through association rule mining. Biomedical Signal Processing and Control. 68. 102726–102726. 54 indexed citations
18.
Alam, Talha Mahboob, Kamran Shaukat, Ibrahim A. Hameed, et al.. (2020). An Investigation of Credit Card Default Prediction in the Imbalanced Datasets. IEEE Access. 8. 201173–201198. 122 indexed citations
19.
Younas, Muhammad, Dayang N. A. Jawawi, Ahmad Kamil Mahmood, et al.. (2019). Agile Software Development Using Cloud Computing: A Case Study. IEEE Access. 8. 4475–4484. 13 indexed citations
20.
Ahmed, Zaheer, et al.. (2006). Agrep -- A Fast Approximate Pattern-Matching Tool. 56 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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