Muhammad Ehatisham-ul-Haq
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Information Systems top 5%
- Signal Processing top 5%
- Co-authors
- Muhammad Awais AzamUsman NaeemYasar AminFaisal HussainFawad HussainNasir SiddiquiJonathan LooAsra Khalid
- Topics
- Context-Aware Activity Recognition Systems (21 papers)IoT and Edge/Fog Computing (9 papers)Chaos-based Image/Signal Encryption (7 papers)
- Partner nations
- PakistanUnited KingdomSaudi Arabia
In The Last Decade
Muhammad Ehatisham-ul-Haq
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 767
- Artificial Intelligence 359
- Biomedical Engineering 271
- Information Systems 206
- Signal Processing 172
Countries citing papers authored by Muhammad Ehatisham-ul-Haq
This map shows the geographic impact of Muhammad Ehatisham-ul-Haq'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 Muhammad Ehatisham-ul-Haq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Ehatisham-ul-Haq more than expected).
Fields of papers citing papers by Muhammad Ehatisham-ul-Haq
This network shows the impact of papers produced by Muhammad Ehatisham-ul-Haq. 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 Muhammad Ehatisham-ul-Haq. The network helps show where Muhammad Ehatisham-ul-Haq may publish in the future.
Co-authorship network of co-authors of Muhammad Ehatisham-ul-Haq
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Ehatisham-ul-Haq. A scholar is included among the top collaborators of Muhammad Ehatisham-ul-Haq 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 Muhammad Ehatisham-ul-Haq. Muhammad Ehatisham-ul-Haq is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 23 | |
| 12 | 58 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 12 | |
| 17 | 137 | |
| 18 | 123 | |
| 19 | 16 | |
| 20 | 88 |
About Muhammad Ehatisham-ul-Haq
Muhammad Ehatisham-ul-Haq is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Transportation, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (21 papers), IoT and Edge/Fog Computing (9 papers) and Chaos-based Image/Signal Encryption (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (767 citations), Human-Computer Interaction (98 citations) and Signal Processing (172 citations). Muhammad Ehatisham-ul-Haq has collaborated with scholars based in Pakistan, United Kingdom and Saudi Arabia. Frequent co-authors include Muhammad Awais Azam, Usman Naeem, Yasar Amin, Faisal Hussain, Fawad Hussain, Nasir Siddiqui, Jonathan Loo, Asra Khalid, Fawad Fawad and Ik Hyun Lee. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.
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.