M. S. Khorsheed
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Information Systems top 5%
- Management of Technology and Innovation top 10%
- Co-authors
- Abdulmohsen Al-ThubaityWilliam F. ClocksinAbdulrahman AlmuharebM.A. Al‐FawzanMajid M. AltuwaijriAbdullah M. AsiriHatim BehairyS.I. Ahson
- Topics
- Handwritten Text Recognition Techniques (14 papers)Image Retrieval and Classification Techniques (8 papers)Natural Language Processing Techniques (6 papers)
- Partner nations
- Saudi ArabiaUnited KingdomUnited States
In The Last Decade
M. S. Khorsheed
25 papers receiving 670 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 423
- Artificial Intelligence 418
- Media Technology 176
- Information Systems 140
- Management of Technology and Innovation 28
Countries citing papers authored by M. S. Khorsheed
This map shows the geographic impact of M. S. Khorsheed'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 M. S. Khorsheed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. S. Khorsheed more than expected).
Fields of papers citing papers by M. S. Khorsheed
This network shows the impact of papers produced by M. S. Khorsheed. 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 M. S. Khorsheed. The network helps show where M. S. Khorsheed may publish in the future.
Co-authorship network of co-authors of M. S. Khorsheed
This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Khorsheed. A scholar is included among the top collaborators of M. S. Khorsheed 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 M. S. Khorsheed. M. S. Khorsheed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | 21 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 97 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 7 | |
| 12 | KACST Arabic Text Classification Project: Overview and Preliminary Results | 11 |
| 13 | 1 | |
| 14 | 60 | |
| 15 | Automatic Processing of Handwritten Arabic Forms Using Neural Networks | 9 |
| 16 | A Lexicon Based System with Multiple HMMs to Recognise Typewritten and Handwritten Arabic Words | 5 |
| 17 | 92 | |
| 18 | 1 | |
| 19 | 15 | |
| 20 | 28 |
About M. S. Khorsheed
M. S. Khorsheed is a scholar working on Computer Vision and Pattern Recognition, Business and International Management and Artificial Intelligence, having authored 25 papers that have together received 765 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (14 papers), Image Retrieval and Classification Techniques (8 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (423 citations), Media Technology (176 citations) and Artificial Intelligence (418 citations). M. S. Khorsheed has collaborated with scholars based in Saudi Arabia, United Kingdom and United States. Frequent co-authors include Abdulmohsen Al-Thubaity, William F. Clocksin, Abdulrahman Almuhareb, M.A. Al‐Fawzan, Majid M. Altuwaijri, Abdullah M. Asiri, Hatim Behairy and S.I. Ahson. Their work appears in journals such as IEEE Access, International Journal of Project Management and Pattern Recognition Letters.
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.