Muhammad Faisal Abrar

448 total citations
22 papers, 276 citations indexed

About

Muhammad Faisal Abrar is a scholar working on Information Systems, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, Muhammad Faisal Abrar has authored 22 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 8 papers in Computer Networks and Communications and 5 papers in Management Information Systems. Recurrent topics in Muhammad Faisal Abrar's work include Software Engineering Research (6 papers), Software Engineering Techniques and Practices (6 papers) and Software System Performance and Reliability (5 papers). Muhammad Faisal Abrar is often cited by papers focused on Software Engineering Research (6 papers), Software Engineering Techniques and Practices (6 papers) and Software System Performance and Reliability (5 papers). Muhammad Faisal Abrar collaborates with scholars based in Pakistan, China and Saudi Arabia. Muhammad Faisal Abrar's co-authors include Sikandar Ali, Muhammad Usman, Najeeb Ullah, Ali Samad, Muhammad Faran Majeed, Jiwei Huang, Hongqi Li, Niamat Ullah, Amjad Ali and Muhammad Sohail Khan and has published in prestigious journals such as Scientific Reports, IEEE Access and Applied Sciences.

In The Last Decade

Muhammad Faisal Abrar

19 papers receiving 265 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 Faisal Abrar Pakistan 9 115 71 55 50 46 22 276
Nagy Ramadan Egypt 9 159 1.4× 29 0.4× 21 0.4× 71 1.4× 115 2.5× 52 325
Célio Santana United States 9 141 1.2× 32 0.5× 19 0.3× 16 0.3× 56 1.2× 32 299
Jonghoon Chun South Korea 8 82 0.7× 41 0.6× 14 0.3× 37 0.7× 78 1.7× 35 235
Karamath Ateeq United Arab Emirates 6 44 0.4× 15 0.2× 26 0.5× 36 0.7× 87 1.9× 24 275
Silmi Fauziati Indonesia 10 106 0.9× 28 0.4× 13 0.2× 23 0.5× 158 3.4× 55 315
S. V. Subrahmanya India 7 111 1.0× 16 0.2× 35 0.6× 78 1.6× 49 1.1× 22 249
Amal Al Ali United Arab Emirates 5 35 0.3× 17 0.2× 17 0.3× 37 0.7× 79 1.7× 8 238
Yeong-Tae Song United States 11 173 1.5× 35 0.5× 43 0.8× 130 2.6× 66 1.4× 48 343
Turki Alghamdi Saudi Arabia 5 169 1.5× 17 0.2× 28 0.5× 85 1.7× 50 1.1× 13 240
Najwa Hayaati Mohd Alwi Malaysia 7 113 1.0× 20 0.3× 15 0.3× 67 1.3× 59 1.3× 37 275

Countries citing papers authored by Muhammad Faisal Abrar

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Faisal Abrar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Faisal Abrar

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Faisal Abrar. A scholar is included among the top collaborators of Muhammad Faisal Abrar 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 Faisal Abrar. Muhammad Faisal Abrar 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.
Abrar, Muhammad Faisal, et al.. (2025). Automated heart disease detection using Swin Transformer and ECG signal processing: a high-accuracy approach. Scientific Reports. 15(1). 39338–39338.
3.
Abrar, Muhammad Faisal, Muhammad Sohail Khan, Inayat Khan, Mohammed ElAffendi, & Sadique Ahmad. (2023). Towards Fake News Detection: A Multivocal Literature Review of Credibility Factors in Online News Stories and Analysis Using Analytical Hierarchical Process. Electronics. 12(15). 3280–3280. 3 indexed citations
4.
Abrar, Muhammad Faisal, Muhammad Sohail Khan, Inayat Khan, Gauhar Ali, & Sajid Shah. (2023). Digital Information Credibility: Towards a Set of Guidelines for Quality Assessment of Grey Literature in Multivocal Literature Review. Applied Sciences. 13(7). 4483–4483. 3 indexed citations
5.
Usman, Muhammad, et al.. (2022). A Method for Improving Prediction of Human Heart Disease Using Machine Learning Algorithms. Mobile Information Systems. 2022. 1–9. 85 indexed citations
6.
Khan, Muhammad Sohail, et al.. (2022). Challenges in Integration of Heterogeneous Internet of Things. Scientific Programming. 2022. 1–14. 18 indexed citations
7.
Ullah, Atta, et al.. (2021). Systematic performance, and Security evaluation of .NET models for accessing database. VFAST Transactions on Software Engineering. 9(4). 18–24. 1 indexed citations
8.
Majeed, Muhammad Faran, Irshad Ahmed Abbasi, Sikandar Ali, et al.. (2021). From Digital Divide to Information Availability: A Wi‐Fi‐Based Novel Solution for Information Dissemination. Wireless Communications and Mobile Computing. 2021(1). 2 indexed citations
9.
Abrar, Muhammad Faisal, et al.. (2021). Freelancing as an alternative Market for software Professionals in Pakistan. VFAST Transactions on Software Engineering. 9(3). 78–92. 1 indexed citations
10.
Ali, Sikandar, et al.. (2021). Usability Barriers for Elderly Users in Smartphone App Usage: An Analytical Hierarchical Process-Based Prioritization. Scientific Programming. 2021. 1–14. 21 indexed citations
11.
Usman, Muhammad, et al.. (2021). Scaling Agile Adoption Motivators from Management Perspective: An Analytical Hierarchy Process Approach. Scientific Programming. 2021. 1–16. 5 indexed citations
12.
Abrar, Muhammad Faisal, et al.. (2021). A framework for modeling structural association among De‐Motivators of scaling agile. Journal of Software Evolution and Process. 33(8). 7 indexed citations
13.
Abrar, Muhammad Faisal, et al.. (2021). Practices of Motivators in Adopting Agile Software Development at Large Scale Development Team from Management Perspective. Electronics. 10(19). 2341–2341. 10 indexed citations
14.
Ali, Sikandar, Niamat Ullah, Muhammad Faisal Abrar, Zhongguo Yang, & Jiwei Huang. (2020). Fuzzy Multicriteria Decision-Making Approach for Measuring the Possibility of Cloud Adoption for Software Testing. Scientific Programming. 2020. 1–24. 15 indexed citations
15.
Altamimi, Ahmed B., Zawar H. Khan, Khurram Shehzad Khattak, et al.. (2020). Total Variation Filter via Multiquadric Radial Basis Function Approximation Scheme for Additive Noise Removal. IEEE Access. 8. 88241–88258. 1 indexed citations
16.
Abrar, Muhammad Faisal, et al.. (2019). Motivators for Large-Scale Agile Adoption From Management Perspective: A Systematic Literature Review. IEEE Access. 7. 22660–22674. 42 indexed citations
17.
Ali, Sikandar, et al.. (2019). Practitioner's view of barriers to software outsourcing partnership formation: An empirical exploration. Journal of Software Evolution and Process. 32(5). 16 indexed citations
18.
Ali, Sikandar, et al.. (2019). Barriers to Software Outsourcing Partnership Formation: An Exploratory Analysis. IEEE Access. 7. 164556–164594. 17 indexed citations
19.
Ali, Sikandar, Hongqi Li, & Muhammad Faisal Abrar. (2018). Systematic Literature Review of Critical Barriers to Software Outsourcing Partnership. 1–8. 8 indexed citations
20.
Abrar, Muhammad Faisal, et al.. (2014). MVC Software Design Pattern in Web Application Development. 2 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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