Hikmat Yar
- Safety, Risk, Reliability and Quality top 2%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Global and Planetary Change
- Co-authors
- Zulfiqar Ahmad KhanSung Wook BaikWaseem UllahMuhammad SajjadZenun KastratiAli Shariq ImranFath U Min UllahTanveer Hussain
- Topics
- Fire Detection and Safety Systems (8 papers)Video Surveillance and Tracking Methods (5 papers)IoT-based Smart Home Systems (3 papers)
- Cited by
- Safety, Risk, Reliability and QualityComputer Vision and Pattern RecognitionOcean Engineering
- Partner nations
- South KoreaPakistanSaudi Arabia
In The Last Decade
Hikmat Yar
11 papers receiving 361 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Safety, Risk, Reliability and Quality 188
- Computer Vision and Pattern Recognition 165
- Electrical and Electronic Engineering 105
- Computer Networks and Communications 51
- Global and Planetary Change 45
Countries citing papers authored by Hikmat Yar
This map shows the geographic impact of Hikmat Yar'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 Hikmat Yar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hikmat Yar more than expected).
Fields of papers citing papers by Hikmat Yar
This network shows the impact of papers produced by Hikmat Yar. 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 Hikmat Yar. The network helps show where Hikmat Yar may publish in the future.
Co-authorship network of co-authors of Hikmat Yar
This figure shows the co-authorship network connecting the top 25 collaborators of Hikmat Yar. A scholar is included among the top collaborators of Hikmat Yar 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 Hikmat Yar. Hikmat Yar 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 | 0 | |
| 4 | 1 | |
| 5 | 29 | |
| 6 | 6 | |
| 7 | 19 | |
| 8 | A modified YOLOv5 architecture for efficient fire detection in smart citiesbreakdown → | 83 |
| 9 | 5 | |
| 10 | 35 | |
| 11 | 74 | |
| 12 | 105 | |
| 13 | 2 | |
| 14 | 13 |
About Hikmat Yar
Hikmat Yar is a scholar working on Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 14 papers that have together received 372 indexed citations. Recurring topics across this work include Fire Detection and Safety Systems (8 papers), Video Surveillance and Tracking Methods (5 papers) and IoT-based Smart Home Systems (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (188 citations), Computer Vision and Pattern Recognition (165 citations) and Ocean Engineering (41 citations). Hikmat Yar has collaborated with scholars based in South Korea, Pakistan and Saudi Arabia. Frequent co-authors include Zulfiqar Ahmad Khan, Sung Wook Baik, Waseem Ullah, Muhammad Sajjad, Zenun Kastrati, Ali Shariq Imran, Fath U Min Ullah, Tanveer Hussain, Suneet Kumar Gupta and Mohit Agarwal. Their work appears in journals such as IEEE Transactions on Image Processing, Expert Systems with Applications 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.