Waheed Iqbal
Impact in
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- IoT and Edge/Fog Computing
- Software System Performance and Reliability
- Caching and Content Delivery
- Distributed and Parallel Computing Systems
- Software-Defined Networks and 5G
- Information Systems top 1%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
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- Cloud Computing and Resource Management 27
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- IoT and Edge/Fog Computing 20
- Software System Performance and Reliability 15
- Caching and Content Delivery 4
- Distributed and Parallel Computing Systems 3
- Peer-to-Peer Network Technologies 2
- Co-authors
- David Carrera (11 shared papers)Abdelkarim Erradi (13 shared papers)Matthew N. Dailey (5 shared papers)Muhammad Abdullah (15 shared papers)Paul Janecek (2 shared papers)Arif Mahmood (5 shared papers)Josep Ll. Berral (5 shared papers)Faisal Bukhari (23 shared papers)
In The Last Decade
Waheed Iqbal
48 papers receiving 869 citations
Peers
Comparison fields: 5 of 101
- Computer Networks and Communications 623
- Information Systems 606
- Artificial Intelligence 193
- Health Informatics 7
- Computer Vision and Pattern Recognition 84
Countries citing papers authored by Waheed Iqbal
This map shows the geographic impact of Waheed Iqbal'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 Waheed Iqbal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Waheed Iqbal more than expected).
Fields of papers citing papers by Waheed Iqbal
This network shows the impact of papers produced by Waheed Iqbal. 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 Waheed Iqbal. The network helps show where Waheed Iqbal may publish in the future.
Co-authors
The 25 scholars most cited alongside Waheed Iqbal, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 190 | |
| 2 | 2020 | 62 | |
| 3 | 2019 | 53 | |
| 4 | 2019 | 49 | |
| 5 | 2019 | 48 | |
| 6 | 2020 | 43 | |
| 7 | 2018 | 42 | |
| 8 | 2019 | 42 | |
| 9 | Role of housefly (Musca domestica, Diptera; Muscidae) as a disease vector; a review | 2014 | 40 |
| 10 | 2015 | 40 | |
| 11 | 2010 | 35 | |
| 12 | 2019 | 30 | |
| 13 | 2020 | 23 | |
| 14 | 2021 | 20 | |
| 15 | 2020 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 2019 | 13 | |
| 20 | 2015 | 12 |
About Waheed Iqbal
Waheed Iqbal is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Surgery, having authored 55 papers that have together received 923 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (27 papers), IoT and Edge/Fog Computing (20 papers), Software System Performance and Reliability (15 papers), Caching and Content Delivery (4 papers), Distributed and Parallel Computing Systems (3 papers), Data Stream Mining Techniques (3 papers), COVID-19 diagnosis using AI (2 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Computer Networks and Communications (623 citations), Information Systems (606 citations), Artificial Intelligence (193 citations), Health Informatics (7 citations) and Computer Vision and Pattern Recognition (84 citations). Waheed Iqbal has collaborated with scholars based in Pakistan, Qatar and Spain. Frequent co-authors include David Carrera, Abdelkarim Erradi, Matthew N. Dailey, Muhammad Abdullah, Paul Janecek, Arif Mahmood, Josep Ll. Berral, Faisal Bukhari, Jordà Polo and Khaled Mohamad Almustafa. Their work appears in journals such as IEEE Systems Journal, Journal of Network and Computer Applications, IEEE Transactions on Services Computing, Future Generation Computer Systems and PeerJ Computer Science.
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.