Khurram Khurshid
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 0.5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Neurology top 5%
- Co-authors
- Muhammad Jaleed KhanAdeel YousafAsad AbbasHamid Saeed KhanImran SiddiqiSadia ShakilNicole VincentClaudie Faure
- Topics
- Handwritten Text Recognition Techniques (18 papers)Remote-Sensing Image Classification (14 papers)Image Retrieval and Classification Techniques (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessPattern Recognition
In The Last Decade
Khurram Khurshid
85 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Computer Vision and Pattern Recognition 950
- Media Technology 611
- Artificial Intelligence 450
- Radiology, Nuclear Medicine and Imaging 242
- Neurology 218
Countries citing papers authored by Khurram Khurshid
This map shows the geographic impact of Khurram Khurshid'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 Khurram Khurshid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khurram Khurshid more than expected).
Fields of papers citing papers by Khurram Khurshid
This network shows the impact of papers produced by Khurram Khurshid. 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 Khurram Khurshid. The network helps show where Khurram Khurshid may publish in the future.
Co-authorship network of co-authors of Khurram Khurshid
This figure shows the co-authorship network connecting the top 25 collaborators of Khurram Khurshid. A scholar is included among the top collaborators of Khurram Khurshid 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 Khurram Khurshid. Khurram Khurshid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 11 | |
| 4 | 9 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | Role of deep learning in brain tumor detection and classification (2015 to 2020): A reviewbreakdown → | 185 |
| 8 | 29 | |
| 9 | 15 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 13 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 8 | |
| 18 | Language Independent Keyword Based Information Retrieval System of Handwritten Documents using SVM Classifier and Converting Words into Shapes | 3 |
| 19 | Automation of Optimized Gabor Filter Parameter Selection for Road Cracks Detection | 8 |
| 20 | 5 |
About Khurram Khurshid
Khurram Khurshid is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Archeology, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (18 papers), Remote-Sensing Image Classification (14 papers) and Image Retrieval and Classification Techniques (11 papers). The work is most often cited by research in Media Technology (611 citations), Computer Vision and Pattern Recognition (950 citations) and Neurology (218 citations). Khurram Khurshid has collaborated with scholars based in Pakistan, France and Australia. Frequent co-authors include Muhammad Jaleed Khan, Adeel Yousaf, Asad Abbas, Hamid Saeed Khan, Imran Siddiqi, Sadia Shakil, Nicole Vincent, Claudie Faure, Rizwan Qureshi and Muhammad Uzair. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Pattern Recognition.
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.