Tariq M. King
- Software top 2%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Computer Science Applications top 5%
- Co-authors
- Peter ClarkeJ. PhillipsDebra DavisEdward L. JonesRam ShanmugamMohammed AkourDavid Tuesday AdamoB. M. Golam Kibria
- Topics
- Software Testing and Debugging Techniques (28 papers)Software System Performance and Reliability (15 papers)Software Engineering Research (11 papers)
- Journals
- Journal of Systems and SoftwareSoftware Testing Verification and ReliabilityACM Transactions on Computing Education
- Partner nations
- United StatesPuerto RicoIreland
In The Last Decade
Tariq M. King
35 papers receiving 341 citations
Peers
Comparison fields: 5 of 37
- Software 214
- Information Systems 210
- Computer Networks and Communications 158
- Artificial Intelligence 112
- Computer Science Applications 54
Countries citing papers authored by Tariq M. King
This map shows the geographic impact of Tariq M. King'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 Tariq M. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tariq M. King more than expected).
Fields of papers citing papers by Tariq M. King
This network shows the impact of papers produced by Tariq M. King. 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 Tariq M. King. The network helps show where Tariq M. King may publish in the future.
Co-authorship network of co-authors of Tariq M. King
This figure shows the co-authorship network connecting the top 25 collaborators of Tariq M. King. A scholar is included among the top collaborators of Tariq M. King 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 Tariq M. King. Tariq M. King is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 11 | |
| 3 | 10 | |
| 4 | 35 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 10 | |
| 11 | Enabling automated integration testing of cloud application services in virtualized environments | 5 |
| 12 | 9 | |
| 13 | 7 | |
| 14 | 31 | |
| 15 | A self -testing approach for autonomic software | 5 |
| 16 | 5 | |
| 17 | A Meta-model to Support Regression Testing of Web Applications. | 10 |
| 18 | 9 | |
| 19 | 28 | |
| 20 | 4 |
About Tariq M. King
Tariq M. King is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 35 papers that have together received 368 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (28 papers), Software System Performance and Reliability (15 papers) and Software Engineering Research (11 papers). The work is most often cited by research in Software (214 citations), Computer Science Applications (54 citations) and Information Systems (210 citations). Tariq M. King has collaborated with scholars based in United States, Puerto Rico and Ireland. Frequent co-authors include Peter Clarke, J. Phillips, Debra Davis, Edward L. Jones, Ram Shanmugam, Mohammed Akour, David Tuesday Adamo, B. M. Golam Kibria, James F. Power and Gabriel Núñez. Their work appears in journals such as Journal of Systems and Software, Software Testing Verification and Reliability and ACM Transactions on Computing Education.
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.