Mehwish Riaz
- Information Systems top 5%
- Artificial Intelligence top 10%
- Software top 5%
- Computer Networks and Communications top 10%
- Environmental Chemistry
- Co-authors
- Emília MendesRoxana GîrjuEwan TemperoNorsaremah SallehAbdul Rauf ShakooriMuhammad Tariq ZahidMohd RafatullahSyed Zaghum Abbas
- Topics
- Software Engineering Research (7 papers)Topic Modeling (5 papers)Software System Performance and Reliability (5 papers)
- Partner nations
- New ZealandUnited StatesPakistan
In The Last Decade
Mehwish Riaz
17 papers receiving 432 citations
Peers
Comparison fields: 5 of 85
- Information Systems 232
- Artificial Intelligence 173
- Software 116
- Computer Networks and Communications 82
- Environmental Chemistry 33
Countries citing papers authored by Mehwish Riaz
This map shows the geographic impact of Mehwish Riaz'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 Mehwish Riaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehwish Riaz more than expected).
Fields of papers citing papers by Mehwish Riaz
This network shows the impact of papers produced by Mehwish Riaz. 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 Mehwish Riaz. The network helps show where Mehwish Riaz may publish in the future.
Co-authorship network of co-authors of Mehwish Riaz
This figure shows the co-authorship network connecting the top 25 collaborators of Mehwish Riaz. A scholar is included among the top collaborators of Mehwish Riaz 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 Mehwish Riaz. Mehwish Riaz 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 | 0 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 25 | |
| 7 | 60 | |
| 8 | 35 | |
| 9 | 30 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | Toward a Better Understanding of Causality between Verbal Events: Extraction and Analysis of the Causal Power of Verb-Verb Associations | 38 |
| 13 | Maintainability Predictors for Relational Database-Driven Software Applications: Results from a Survey. | 1 |
| 14 | Maintainability Prediction for Database-driven Software Applications - Preliminary Results from Interviews with Software Professionals. | 2 |
| 15 | An unsupervised approach to identifying causal relations from relevant scenarios | 1 |
| 16 | 45 | |
| 17 | 42 | |
| 18 | 21 | |
| 19 | 162 |
About Mehwish Riaz
Mehwish Riaz is a scholar working on Software, Information Systems and Occupational Therapy, having authored 19 papers that have together received 474 indexed citations. Recurring topics across this work include Software Engineering Research (7 papers), Topic Modeling (5 papers) and Software System Performance and Reliability (5 papers). The work is most often cited by research in Software (116 citations), Information Systems (232 citations) and Artificial Intelligence (173 citations). Mehwish Riaz has collaborated with scholars based in New Zealand, United States and Pakistan. Frequent co-authors include Emília Mendes, Roxana Gîrju, Ewan Tempero, Norsaremah Salleh, Abdul Rauf Shakoori, Muhammad Tariq Zahid, Mohd Rafatullah, Syed Zaghum Abbas, Cathy Urquhart and Aamer Ali Shah. Their work appears in journals such as Energies, Information and Software Technology and ACS Chemical Neuroscience.
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.