Shafay Shamail
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Software top 5%
- Information Systems and Management top 10%
- Co-authors
- Mian Muhammad AwaisAfzaal H. SeyalBasit ShafiqJaideep VaidyaHamid Abdul BasitNabil R. AdamSarah NadiWaqas Ahmad
- Topics
- Software Engineering Research (16 papers)Software System Performance and Reliability (15 papers)Service-Oriented Architecture and Web Services (13 papers)
- Partner nations
- PakistanUnited StatesNetherlands
In The Last Decade
Shafay Shamail
53 papers receiving 342 citations
Peers
Comparison fields: 5 of 67
- Information Systems 200
- Artificial Intelligence 137
- Computer Networks and Communications 98
- Software 79
- Information Systems and Management 60
Countries citing papers authored by Shafay Shamail
This map shows the geographic impact of Shafay Shamail'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 Shafay Shamail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shafay Shamail more than expected).
Fields of papers citing papers by Shafay Shamail
This network shows the impact of papers produced by Shafay Shamail. 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 Shafay Shamail. The network helps show where Shafay Shamail may publish in the future.
Co-authorship network of co-authors of Shafay Shamail
This figure shows the co-authorship network connecting the top 25 collaborators of Shafay Shamail. A scholar is included among the top collaborators of Shafay Shamail 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 Shafay Shamail. Shafay Shamail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 10 | |
| 16 | 3 | |
| 17 | 9 | |
| 18 | 73 | |
| 19 | 1 | |
| 20 | Application of concurrent generalized regression neural networks for arabic speech recognition. | 8 |
About Shafay Shamail
Shafay Shamail is a scholar working on Software, Information Systems and Management Information Systems, having authored 57 papers that have together received 379 indexed citations. Recurring topics across this work include Software Engineering Research (16 papers), Software System Performance and Reliability (15 papers) and Service-Oriented Architecture and Web Services (13 papers). The work is most often cited by research in Software (79 citations), Information Systems (200 citations) and Information Systems and Management (60 citations). Shafay Shamail has collaborated with scholars based in Pakistan, United States and Netherlands. Frequent co-authors include Mian Muhammad Awais, Afzaal H. Seyal, Basit Shafiq, Jaideep Vaidya, Hamid Abdul Basit, Nabil R. Adam, Sarah Nadi, Waqas Ahmad, Irfan Awan and Junaid Akhtar. Their work appears in journals such as IEEE Internet of Things Journal, Knowledge-Based Systems and Applied Mathematics and Computation.
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.