Umar Farooq
Impact in
- Media Technology top 5%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Hate Speech and Cyberbullying Detection
- Advanced Text Analysis Techniques
Papers in
-
- Imbalanced Data Classification Techniques 2
- Internet Traffic Analysis and Secure E-voting 2
- Hate Speech and Cyberbullying Detection 2
- Co-authors
- Akeel Qadir (1 shared paper)Shahid Karim (1 shared paper)Jinyang Li (1 shared paper)Ali Raza (1 shared paper)Mirza Omer Beg (1 shared paper)Waseem Shahzad (1 shared paper)Asghari Bano (1 shared paper)Parvinder Singh (3 shared papers)
In The Last Decade
Umar Farooq
17 papers receiving 294 citations
Umar Farooq's Hit Papers
Peers
Comparison fields: 5 of 68
- Media Technology 109
- Artificial Intelligence 127
- Computer Vision and Pattern Recognition 73
- Signal Processing 26
- Information Systems 52
Countries citing papers authored by Umar Farooq
This map shows the geographic impact of Umar Farooq'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 Umar Farooq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umar Farooq more than expected).
Fields of papers citing papers by Umar Farooq
This network shows the impact of papers produced by Umar Farooq. 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 Umar Farooq. The network helps show where Umar Farooq may publish in the future.
Co-authors
The 25 scholars most cited alongside Umar Farooq, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Current advances and future perspectives of image fusion: A comprehensive review Hit paper breakdown → | 2022 | 143 |
| 2 | 2022 | 59 | |
| 3 | 2017 | 50 | |
| 4 | 2021 | 15 | |
| 5 | Screening of indigenous bacteria from rhizosphere of maize (Zea mays L.) for their plant growth promotion ability and antagonism against fungal and bacterial pathogens. | 2013 | 9 |
| 6 | 2014 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2017 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2018 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2015 | 0 | |
| 20 | 2023 | 0 |
About Umar Farooq
Umar Farooq is a scholar working on Artificial Intelligence, Plant Science, Computer Networks and Communications, Information Systems and Mechanical Engineering, having authored 21 papers that have together received 310 indexed citations. Recurring topics across this work include Spam and Phishing Detection (4 papers), Teleoperation and Haptic Systems (3 papers), Network Security and Intrusion Detection (3 papers), Imbalanced Data Classification Techniques (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Advanced Malware Detection Techniques (2 papers), Network Time Synchronization Technologies (2 papers) and Hate Speech and Cyberbullying Detection (2 papers). The work is most often cited by research in Media Technology (109 citations), Artificial Intelligence (127 citations), Computer Vision and Pattern Recognition (73 citations), Signal Processing (26 citations) and Information Systems (52 citations). Umar Farooq has collaborated with scholars based in Pakistan, India and Romania. Frequent co-authors include Akeel Qadir, Shahid Karim, Jinyang Li, Ali Raza, Mirza Omer Beg, Waseem Shahzad, Asghari Bano, Parvinder Singh, Surinder Singh Khurana and Jason Gu. Their work appears in journals such as Acta Polytechnica Hungarica, IEEE Access, International Agrophysics, Computer Science Review and Information Fusion.
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.