Tassawar Iqbal
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Oncology
- Computer Networks and Communications top 10%
- Co-authors
- Tanzila SabaMuhammad Attique KhanHikmat Ullah KhanMuhammad SharifIkram Ullah LaliMuhammad NasirAlmas AnjumSaqib Iqbal
- Topics
- ICT in Developing Communities (4 papers)Sentiment Analysis and Opinion Mining (4 papers)Spam and Phishing Detection (3 papers)
- Journals
- PLoS ONEIEEE AccessSensors
- Partner nations
- PakistanUnited Arab EmiratesSaudi Arabia
In The Last Decade
Tassawar Iqbal
31 papers receiving 482 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 232
- Information Systems 177
- Computer Vision and Pattern Recognition 128
- Oncology 96
- Computer Networks and Communications 79
Countries citing papers authored by Tassawar Iqbal
This map shows the geographic impact of Tassawar 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 Tassawar Iqbal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tassawar Iqbal more than expected).
Fields of papers citing papers by Tassawar Iqbal
This network shows the impact of papers produced by Tassawar 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 Tassawar Iqbal. The network helps show where Tassawar Iqbal may publish in the future.
Co-authorship network of co-authors of Tassawar Iqbal
This figure shows the co-authorship network connecting the top 25 collaborators of Tassawar Iqbal. A scholar is included among the top collaborators of Tassawar 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 Tassawar Iqbal. Tassawar Iqbal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 17 | |
| 3 | 5 | |
| 4 | 14 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 27 | |
| 8 | 109 | |
| 9 | 20 | |
| 10 | Intelligent Human Action Recognition: A Framework of Optimal Features Selection based on Euclidean Distance and Strong Correlation | 20 |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 14 | |
| 14 | 5 | |
| 15 | 8 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | Towards Using Second Life for Supporting Illiterate Persons in Learning | 2 |
| 19 | 2 | |
| 20 | XML based framework for ETL processes for relational databases | 1 |
About Tassawar Iqbal
Tassawar Iqbal is a scholar working on Health Informatics, Information Systems and Media Technology, having authored 31 papers that have together received 519 indexed citations. Recurring topics across this work include ICT in Developing Communities (4 papers), Sentiment Analysis and Opinion Mining (4 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Information Systems (177 citations), Artificial Intelligence (232 citations) and Computer Vision and Pattern Recognition (128 citations). Tassawar Iqbal has collaborated with scholars based in Pakistan, United Arab Emirates and Saudi Arabia. Frequent co-authors include Tanzila Saba, Muhammad Attique Khan, Hikmat Ullah Khan, Muhammad Sharif, Ikram Ullah Lali, Muhammad Nasir, Almas Anjum, Saqib Iqbal, Amjad Rehman and Ehsan Ullah Munir. Their work appears in journals such as PLoS ONE, IEEE Access and Sensors.
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.