Ejaz Ul Haq
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Neurology top 10%
- Topics
- Semiconductor materials and devices (7 papers)Low-power high-performance VLSI design (6 papers)Advancements in Semiconductor Devices and Circuit Design (5 papers)
- Journals
- IEEE Journal of Solid-State CircuitsInformation SciencesBiomedical Signal Processing and Control
- Partner nations
- ChinaPakistanSouth Korea
In The Last Decade
Ejaz Ul Haq
38 papers receiving 394 citations
Peers
Comparison fields: 5 of 76
- Electrical and Electronic Engineering 214
- Control and Systems Engineering 112
- Computer Vision and Pattern Recognition 82
- Artificial Intelligence 74
- Neurology 74
Countries citing papers authored by Ejaz Ul Haq
This map shows the geographic impact of Ejaz 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 Ejaz 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 Ejaz Ul Haq more than expected).
Fields of papers citing papers by Ejaz Ul Haq
This network shows the impact of papers produced by Ejaz 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 Ejaz Ul Haq. The network helps show where Ejaz Ul Haq may publish in the future.
Co-authorship network of co-authors of Ejaz Ul Haq
This figure shows the co-authorship network connecting the top 25 collaborators of Ejaz Ul Haq. A scholar is included among the top collaborators of Ejaz 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 Ejaz Ul Haq. Ejaz 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 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 28 | |
| 9 | 56 | |
| 10 | 15 | |
| 11 | 49 | |
| 12 | 6 | |
| 13 | PETROLOGY AND MAJOR ELEMENT GEOCHEMISTRY OF MANTLE ROCKS FROM KHANOZAI OPHIOLITE, NORTHERN BALOCHISTAN, PAKISTAN | 3 |
| 14 | Face Recognition by SVM Using Local Binary Patterns | 2 |
| 15 | 11 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | Variable V CC Design Techniques for Battery-Operated DRAM's | 4 |
| 20 | 7 |
About Ejaz Ul Haq
Ejaz Ul Haq is a scholar working on Hardware and Architecture, Neurology and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 416 indexed citations. Recurring topics across this work include Semiconductor materials and devices (7 papers), Low-power high-performance VLSI design (6 papers) and Advancements in Semiconductor Devices and Circuit Design (5 papers). The work is most often cited by research in Neurology (74 citations), Control and Systems Engineering (112 citations) and Computer Vision and Pattern Recognition (82 citations). Ejaz Ul Haq has collaborated with scholars based in China, Pakistan and South Korea. Frequent co-authors include Jianjun Huang, Fiaz Ahmad, Tijiang Zhang, Youwei Jia, Ruihong Zhang, Huarong Xu, Kang Li, Kang Li, Mengyuan Hua and Xue Lyu. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Information Sciences and Biomedical Signal Processing and Control.
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.