Shawkat Ali
- Artificial Intelligence top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Co-authors
- Kate Smith‐MilesJesmin NaharYi‐Ping Phoebe ChenAdam ThompsonGM ShafiullahPeter WolfsSafdar Nawaz Khan MarwatSalman Ahmed
- Topics
- Face and Expression Recognition (5 papers)Remote Sensing in Agriculture (3 papers)Neural Networks and Applications (3 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Shawkat Ali
22 papers receiving 513 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 298
- Information Systems 101
- Computer Vision and Pattern Recognition 87
- Computer Networks and Communications 64
- Electrical and Electronic Engineering 54
Countries citing papers authored by Shawkat Ali
This map shows the geographic impact of Shawkat Ali'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 Shawkat Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawkat Ali more than expected).
Fields of papers citing papers by Shawkat Ali
This network shows the impact of papers produced by Shawkat Ali. 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 Shawkat Ali. The network helps show where Shawkat Ali may publish in the future.
Co-authorship network of co-authors of Shawkat Ali
This figure shows the co-authorship network connecting the top 25 collaborators of Shawkat Ali. A scholar is included among the top collaborators of Shawkat Ali 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 Shawkat Ali. Shawkat Ali 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | Rule Based Base Classifier Selection for Bagging Algorithm. | 2 |
| 8 | Monitoring vertical acceleration of railway wagon using machine learning technique | 1 |
| 9 | TCP Performance over Proactive and Reactive Routing Protocols for Mobile Ad Hoc Networks. | 1 |
| 10 | 8 | |
| 11 | 20 | |
| 12 | 12 | |
| 13 | 26 | |
| 14 | 102 | |
| 15 | 259 | |
| 16 | 1 | |
| 17 | 12 | |
| 18 | 33 | |
| 19 | Filtering mobile spam by support vector machine | 9 |
| 20 | Matching SVM kernel's suitability to data characteristics using tree by fuzzy C-means clustering | 4 |
About Shawkat Ali
Shawkat Ali is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 549 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Remote Sensing in Agriculture (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (298 citations), Health Information Management (25 citations) and Information Systems (101 citations). Shawkat Ali has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Kate Smith‐Miles, Jesmin Nahar, Yi‐Ping Phoebe Chen, Adam Thompson, GM Shafiullah, Peter Wolfs, Safdar Nawaz Khan Marwat, Salman Ahmed, Morshed Chowdhury and Zhouping Yin. Their work appears in journals such as Environmental Science and Pollution Research, Neurocomputing and Applied Soft Computing.
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.