Anwar Ul Haq
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Information Systems
- Co-authors
- Defu ZhangAdnan ZebJunde ChenSami Ur RahmanZhiguo GongHan LiuShuangyuan YangJeng‐Shyang Pan
- Topics
- Advanced Graph Neural Networks (4 papers)Stock Market Forecasting Methods (2 papers)Topic Modeling (2 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceHealth Information Management
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Anwar Ul Haq
22 papers receiving 343 citations
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 160
- Management Science and Operations Research 81
- Computer Vision and Pattern Recognition 53
- Electrical and Electronic Engineering 37
- Information Systems 25
Countries citing papers authored by Anwar Ul Haq
This map shows the geographic impact of Anwar 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 Anwar 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 Anwar Ul Haq more than expected).
Fields of papers citing papers by Anwar Ul Haq
This network shows the impact of papers produced by Anwar 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 Anwar Ul Haq. The network helps show where Anwar Ul Haq may publish in the future.
Co-authorship network of co-authors of Anwar Ul Haq
This figure shows the co-authorship network connecting the top 25 collaborators of Anwar Ul Haq. A scholar is included among the top collaborators of Anwar 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 Anwar Ul Haq. Anwar 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 41 | |
| 7 | 7 | |
| 8 | 28 | |
| 9 | 24 | |
| 10 | 8 | |
| 11 | 86 | |
| 12 | 20 | |
| 13 | 39 | |
| 14 | 10 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 10 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 2 |
About Anwar Ul Haq
Anwar Ul Haq is a scholar working on Media Technology, Parasitology and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 361 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (4 papers), Stock Market Forecasting Methods (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Management Science and Operations Research (81 citations), Artificial Intelligence (160 citations) and Health Information Management (13 citations). Anwar Ul Haq has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Defu Zhang, Adnan Zeb, Junde Chen, Sami Ur Rahman, Zhiguo Gong, Han Liu, Shuangyuan Yang, Jeng‐Shyang Pan, George D. Magoulas and Sidra Ishaque. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.