Waleed Iqbal

632 total citations
14 papers, 343 citations indexed

About

Waleed Iqbal is a scholar working on Artificial Intelligence, Health Information Management and Sociology and Political Science. According to data from OpenAlex, Waleed Iqbal has authored 14 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Health Information Management and 5 papers in Sociology and Political Science. Recurrent topics in Waleed Iqbal's work include Artificial Intelligence in Healthcare (5 papers), COVID-19 diagnosis using AI (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Waleed Iqbal is often cited by papers focused on Artificial Intelligence in Healthcare (5 papers), COVID-19 diagnosis using AI (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Waleed Iqbal collaborates with scholars based in United Kingdom, Pakistan and Australia. Waleed Iqbal's co-authors include Junaid Qadir, Gareth Tyson, Ignacio Castro, Jon Crowcroft, Siddique Latif, Adeel Razi, Maged N. Kamel Boulos, Sanaullah Manzoor, Adrian Weller and Muhammad Usman and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, IEEE Transactions on Learning Technologies and Social Network Analysis and Mining.

In The Last Decade

Waleed Iqbal

14 papers receiving 323 citations

Peers

Waleed Iqbal
Waleed Iqbal
Citations per year, relative to Waleed Iqbal Waleed Iqbal (= 1×) peers Andile Metfula

Countries citing papers authored by Waleed Iqbal

Since Specialization
Citations

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

Fields of papers citing papers by Waleed Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Waleed 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 Waleed Iqbal. The network helps show where Waleed Iqbal may publish in the future.

Co-authorship network of co-authors of Waleed Iqbal

This figure shows the co-authorship network connecting the top 25 collaborators of Waleed Iqbal. A scholar is included among the top collaborators of Waleed Iqbal 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 Waleed Iqbal. Waleed Iqbal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Ahmad, Kashif, Waleed Iqbal, Ammar Elhassan, et al.. (2023). Data-Driven Artificial Intelligence in Education: A Comprehensive Review. IEEE Transactions on Learning Technologies. 17. 12–31. 77 indexed citations
2.
Usama, Muhammad, Junaid Qadir, Waleed Iqbal, et al.. (2022). A First Look at CQVID-19 Messages on WhatsApp in Pakistan. Queen Mary Research Online (Queen Mary University of London). 14 indexed citations
3.
Iqbal, Waleed, Muhammad Haseeb Arshad, Gareth Tyson, & Ignacio Castro. (2022). Exploring Crowdsourced Content Moderation Through Lens of Reddit during COVID-19. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 26–35. 7 indexed citations
4.
Iqbal, Waleed, Gareth Tyson, & Ignacio Castro. (2022). Looking on Efficiency of Content Moderation Systems from the Lens of Reddit's Content Moderation Experience During COVID-19. SSRN Electronic Journal. 1 indexed citations
5.
Iqbal, Waleed, et al.. (2022). Exploring online manifestations of real-world inequalities. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 762–763. 1 indexed citations
6.
Usama, Muhammad, Waleed Iqbal, Junaid Qadir, et al.. (2021). A deep dive into COVID-19-related messages on WhatsApp in Pakistan. Social Network Analysis and Mining. 12(1). 5–5. 17 indexed citations
7.
Karan, Mladen, Colin Perkins, Gareth Tyson, et al.. (2021). Characterising the IETF through the lens of RFC deployment. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 137–149. 11 indexed citations
8.
Latif, Siddique, Muhammad Usman, Sanaullah Manzoor, et al.. (2020). Leveraging Data Science To Combat COVID-19: A Comprehensive Review. Figshare. 11 indexed citations
9.
Latif, Siddique, Muhammad Usman, Sanaullah Manzoor, et al.. (2020). Leveraging Data Science to Combat COVID-19: A Comprehensive Review. IEEE Transactions on Artificial Intelligence. 1(1). 85–103. 156 indexed citations
10.
Latif, Siddique, Muhammad Usman, Sanaullah Manzoor, et al.. (2020). Leveraging Data Science To Combat COVID-19: A Comprehensive Review. 20 indexed citations
11.
Latif, Siddique, Muhammad Usman, Sanaullah Manzoor, et al.. (2020). Leveraging Data Science To Combat COVID-19: A Comprehensive Review. 18 indexed citations
12.
Iqbal, Waleed, Junaid Qadir, Saeed‐Ul Hassan, et al.. (2019). Five decades of the ACM special interest group on data communications (SIGCOMM). ACM SIGCOMM Computer Communication Review. 49(5). 29–37. 4 indexed citations
13.
Mian, Adnan Noor, et al.. (2016). Experimental study of link quality in IEEE 802.15.4 using Z1 Motes. 830–835. 5 indexed citations
14.
Iqbal, Waleed, et al.. (2016). Bridging Educational Gaps through Volunteers; Implementation, Problems and Their Solutions. 1–4. 1 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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