Foundation University Islamabad

999 papers receiving 17.0k citations

Peers

Foundation University Islamabad
Comparison fields: 5 of 243
  • Cognitive Neuroscience 1.7k
  • Computer Vision and Pattern Recognition 1.8k
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Health Informatics 92
  • Ophthalmology 535
Replace GNA University with:
GNA University India
Patel Hospital India
Sir Syed University of Engineering and Technology Pakistan
Isra University Pakistan
K J Somaiya Medical College India
Tabaran Institute of Higher Education Iran
Birla Institute of Technology and Science, Pilani - Dubai Campus United Arab Emirates
Canadian University of Dubai United Arab Emirates
Infosys (India) India
Green University of Bangladesh Bangladesh
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Citations per field
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Citations per year

Countries citing scholars working at Foundation University Islamabad

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Foundation University Islamabad. 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 papers produced at Foundation University Islamabad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Foundation University Islamabad more than expected).

Fields of papers published by authors at Foundation University Islamabad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Foundation University Islamabad at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Foundation University Islamabad at the time of their publication.

About Foundation University Islamabad

In recent decades, authors affiliated with Foundation University Islamabad have published 1.3k papers, which have received a total of 18.6k indexed citations . Scholars at this organization have produced 12 papers in General Dentistry, 1 paper in Drug Discovery, 64 papers in Accounting, 55 papers in Organizational Behavior and Human Resource Management and 52 papers in Signal Processing on the topics of Islamic Finance and Banking Studies (37 papers), Job Satisfaction and Organizational Behavior (35 papers), Corporate Finance and Governance (30 papers), Blind Source Separation Techniques (25 papers), IoT and Edge/Fog Computing (22 papers), Chaos-based Image/Signal Encryption (19 papers), vaccines and immunoinformatics approaches (19 papers) and EEG and Brain-Computer Interfaces (18 papers). Their work is cited by papers focused on Cognitive Neuroscience (1.7k citations), Computer Vision and Pattern Recognition (1.8k citations), Radiology, Nuclear Medicine and Imaging (1.4k citations), Health Informatics (92 citations) and Ophthalmology (535 citations). Authors at Foundation University Islamabad collaborate with scholars in Pakistan, United States and Saudi Arabia and have published in prestigious journals including IEEE Access, Applied Sciences, Frontiers in Psychology, Multimedia Tools and Applications and Computers, materials & continua/Computers, materials & continua (Print). Some of Foundation University Islamabad's most productive authors include Nabeel Ali Khan, Sajid Ali Khan, Aaqif Afzaal Abbasi, Gian Luca Romani, Muhammad Ashraf, Muhammad Aqeel, Yasir Waheed, Ahmad Arzani, Sadiq Ali and Giorgia Committeri.

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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