Khalid Mohiuddin
- Artificial Intelligence top 1%
- Algorithms and Data Compression 5
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- Handwritten Text Recognition Techniques 7
- Image Retrieval and Classification Techniques 4
- Advanced Image and Video Retrieval Techniques 4
- Signal Processing top 5%
- Environmental Engineering top 5%
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- IoT and Edge/Fog Computing 7
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- Cloud Computing and Resource Management 7
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- IoT Networks and Protocols 4
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- Online and Blended Learning 3
Khalid Mohiuddin
40 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Artificial Intelligence 1.2k
- Computer Vision and Pattern Recognition 576
- Signal Processing 225
- Environmental Engineering 277
- Health Information Management 71
Countries citing papers authored by Khalid Mohiuddin
This map shows the geographic impact of Khalid Mohiuddin'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 Khalid Mohiuddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Mohiuddin more than expected).
Fields of papers citing papers by Khalid Mohiuddin
This network shows the impact of papers produced by Khalid Mohiuddin. 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 Khalid Mohiuddin. The network helps show where Khalid Mohiuddin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Khalid Mohiuddin, 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 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 22 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 25 | |
| 7 | 2023 | 29 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 43 | |
| 13 | 2020 | 2 | |
| 14 | 2019 | 3 | |
| 15 | 2013 | 1 | |
| 16 | 2013 | 1 | |
| 17 | HPCCA: Is efficient in Mobile Cloud Environment (MCE)? | 2012 | 2 |
| 18 | 1997 | 18 | |
| 19 | 1992 | 75 | |
| 20 | Lossless Binary Image Compression Based on Pattern Matching | 1984 | 27 |
About Khalid Mohiuddin
Khalid Mohiuddin is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Information Systems, having authored 43 papers that have together received 3.9k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Cloud Computing and Resource Management (7 papers), Handwritten Text Recognition Techniques (7 papers), Algorithms and Data Compression (5 papers), IoT Networks and Protocols (4 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Online and Blended Learning (3 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computer Vision and Pattern Recognition (576 citations) and Signal Processing (225 citations). Khalid Mohiuddin has collaborated with scholars based in Saudi Arabia, United States and India. Frequent co-authors include Jianchang Mao, Abhishek Jain, J. Rissanen, R. G. Casey, David Ferguson, Eugene Walach, Quadri Noorulhasan Naveed, Alhuseen Omar Alsayed, M.N. Qureshi and Asadullah Shaikh. Their work appears in journals such as Electronics, Wireless Communications and Mobile Computing, Array, Physical Communication and Machine Vision and 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.