Md. Haidar Sharif
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- Video Surveillance and Tracking Methods 8
- Human Pose and Action Recognition 5
- Advanced Vision and Imaging 3
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 6
- Sentiment Analysis and Opinion Mining 3
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- Network Security and Intrusion Detection 4
- IoT and Edge/Fog Computing 3
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- Remote Sensing and LiDAR Applications 3
- Co-authors
- Chabane DjerabaŞahın UyaverHarisu Abdullahi ShehuRabie Α. RamadanHüseyin Kusetoğullarıİbrahim Furkan İnceLei JiaoChristian W. Omlin
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Networks and Communications
- Partner nations
- TürkiyeSaudi ArabiaEgypt
In The Last Decade
Md. Haidar Sharif
33 papers receiving 321 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 136
- Artificial Intelligence 181
- Computer Networks and Communications 76
- Transportation 12
- Radiology, Nuclear Medicine and Imaging 38
Countries citing papers authored by Md. Haidar Sharif
This map shows the geographic impact of Md. Haidar Sharif'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 Md. Haidar Sharif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Haidar Sharif more than expected).
Fields of papers citing papers by Md. Haidar Sharif
This network shows the impact of papers produced by Md. Haidar Sharif. 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 Md. Haidar Sharif. The network helps show where Md. Haidar Sharif may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Md. Haidar Sharif, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 5 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 44 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 23 | |
| 13 | 2020 | 2 | |
| 14 | 2019 | 10 | |
| 15 | 2018 | 2 | |
| 16 | 2017 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2015 | 7 | |
| 19 | 2012 | 51 | |
| 20 | 2008 | 9 |
About Md. Haidar Sharif
Md. Haidar Sharif is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 33 papers that have together received 336 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Anomaly Detection Techniques and Applications (6 papers), Human Pose and Action Recognition (5 papers), Network Security and Intrusion Detection (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Remote Sensing and LiDAR Applications (3 papers), IoT and Edge/Fog Computing (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (136 citations), Artificial Intelligence (181 citations) and Computer Networks and Communications (76 citations). Md. Haidar Sharif has collaborated with scholars based in Türkiye, Saudi Arabia and Egypt. Frequent co-authors include Chabane Djeraba, Şahın Uyaver, Harisu Abdullahi Shehu, Rabie Α. Ramadan, Hüseyin Kusetoğulları, İbrahim Furkan İnce, Lei Jiao, Christian W. Omlin, Eissa Jaber Alreshidi and Sezai Tokat. Their work appears in journals such as IEEE Access, Electronics, Sensors, Transactions on Emerging Telecommunications Technologies and Computational Intelligence and Neuroscience.
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.