Gada Kadoda
- Information Systems top 2%
- Software top 1%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Science Applications
- Co-authors
- Martin ShepperdMartin LefleySteve WebsterCarolyn MairKeith PhalpMichelle CartwrightDan DiaperSondra Hale
- Topics
- Software Engineering Research (6 papers)Software Reliability and Analysis Research (5 papers)Software Testing and Debugging Techniques (2 papers)
- Journals
- IEEE Transactions on Software EngineeringJournal of Systems and SoftwareEmpirical Software Engineering
- Partner nations
- United KingdomSudan
In The Last Decade
Gada Kadoda
10 papers receiving 484 citations
Peers
Comparison fields: 5 of 80
- Information Systems 438
- Software 356
- Artificial Intelligence 100
- Computer Networks and Communications 82
- Computer Science Applications 18
Countries citing papers authored by Gada Kadoda
This map shows the geographic impact of Gada Kadoda'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 Gada Kadoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gada Kadoda more than expected).
Fields of papers citing papers by Gada Kadoda
This network shows the impact of papers produced by Gada Kadoda. 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 Gada Kadoda. The network helps show where Gada Kadoda may publish in the future.
Co-authorship network of co-authors of Gada Kadoda
This figure shows the co-authorship network connecting the top 25 collaborators of Gada Kadoda. A scholar is included among the top collaborators of Gada Kadoda 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 Gada Kadoda. Gada Kadoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 11 | |
| 3 | Networks of knowledge production in Sudan : identities, mobilities, and technologies | 4 |
| 4 | 20 | |
| 5 | Using Simulation to Evaluate Prediction Techniques | 54 |
| 6 | 200 | |
| 7 | A Cognitive Dimensions view of the differences between designers and users of theorem proving assistants | 10 |
| 8 | 43 | |
| 9 | 180 | |
| 10 | Desirable features of educational theorem provers - a cognitive dimensions viewpoint. | 15 |
About Gada Kadoda
Gada Kadoda is a scholar working on Software, Information Systems and Computer Science Applications, having authored 10 papers that have together received 540 indexed citations. Recurring topics across this work include Software Engineering Research (6 papers), Software Reliability and Analysis Research (5 papers) and Software Testing and Debugging Techniques (2 papers). The work is most often cited by research in Software (356 citations), Information Systems (438 citations) and Computer Networks and Communications (82 citations). Gada Kadoda has collaborated with scholars based in United Kingdom and Sudan. Frequent co-authors include Martin Shepperd, Martin Lefley, Steve Webster, Carolyn Mair, Keith Phalp, Michelle Cartwright, Dan Diaper and Sondra Hale. Their work appears in journals such as IEEE Transactions on Software Engineering, Journal of Systems and Software and Empirical Software Engineering.
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.