Doaa Shawky
Impact in
- Software top 10%
- Software Reliability and Analysis Research
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- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
Papers in
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- Software Engineering Research 9
- Software Engineering Techniques and Practices 4
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- Machine Learning and Data Classification 3
- Neural Networks and Applications 3
- Co-authors
- Ashraf Badawi (6 shared papers)Salwa K. Abd–El–Hafiz (7 shared papers)Hatem A. Fayed (2 shared papers)N. H. Sweilam (1 shared paper)Mohamed Marzouk (1 shared paper)H.L. Abdel-Malek (1 shared paper)Samah El-Tantawy (1 shared paper)
In The Last Decade
Doaa Shawky
34 papers receiving 213 citations
Peers
Comparison fields: 5 of 72
- Software 21
- Cognitive Neuroscience 74
- Health Information Management 14
- Human-Computer Interaction 15
- Computer Science Applications 14
Countries citing papers authored by Doaa Shawky
This map shows the geographic impact of Doaa Shawky'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 Doaa Shawky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doaa Shawky more than expected).
Fields of papers citing papers by Doaa Shawky
This network shows the impact of papers produced by Doaa Shawky. 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 Doaa Shawky. The network helps show where Doaa Shawky may publish in the future.
Co-authors
The 7 scholars most cited alongside Doaa Shawky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 43 | |
| 2 | 2012 | 19 | |
| 3 | 2020 | 18 | |
| 4 | 2015 | 14 | |
| 5 | 2015 | 13 | |
| 6 | 2013 | 13 | |
| 7 | 2014 | 12 | |
| 8 | 2010 | 10 | |
| 9 | 2010 | 9 | |
| 10 | 2016 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2010 | 7 | |
| 13 | 2018 | 6 | |
| 14 | 2010 | 6 | |
| 15 | 2015 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2011 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2014 | 3 |
About Doaa Shawky
Doaa Shawky is a scholar working on Information Systems, Artificial Intelligence, Cognitive Neuroscience, Software and Computer Networks and Communications, having authored 36 papers that have together received 227 indexed citations. Recurring topics across this work include Software Engineering Research (9 papers), EEG and Brain-Computer Interfaces (5 papers), Software Engineering Techniques and Practices (4 papers), Innovative Teaching and Learning Methods (4 papers), Machine Learning and Data Classification (3 papers), Neural Networks and Applications (3 papers), Software Reliability and Analysis Research (3 papers) and Model-Driven Software Engineering Techniques (3 papers). The work is most often cited by research in Software (21 citations), Cognitive Neuroscience (74 citations), Health Information Management (14 citations), Human-Computer Interaction (15 citations) and Computer Science Applications (14 citations). Doaa Shawky has collaborated with scholars based in Egypt and Germany. Frequent co-authors include Ashraf Badawi, Salwa K. Abd–El–Hafiz, Hatem A. Fayed, N. H. Sweilam, Mohamed Marzouk, H.L. Abdel-Malek and Samah El-Tantawy. Their work appears in journals such as Sensors, Construction Innovation, International Journal of Information Technology & Decision Making, Neural Computing and Applications and Knowledge-Based Systems.
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.