Daye Nam
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
-
- Software Engineering Research 9
- Software Engineering Techniques and Practices 3
- Co-authors
- Brad A. Myers (5 shared papers)Bogdan Vasilescu (4 shared papers)Andrew Macvean (4 shared papers)Vincent J. Hellendoorn (2 shared papers)Michael Hilton (3 shared papers)Sruti Srinivasa Ragavan (3 shared papers)Mohammad Amin Alipour (3 shared papers)Nenad Medvidović (3 shared papers)
- Journals
- Computer (1 paper)
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Daye Nam
14 papers receiving 247 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Health Informatics 27
- Software 44
- Computer Science Applications 49
- Information Systems 92
- Artificial Intelligence 105
Countries citing papers authored by Daye Nam
This map shows the geographic impact of Daye Nam'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 Daye Nam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daye Nam more than expected).
Fields of papers citing papers by Daye Nam
This network shows the impact of papers produced by Daye Nam. 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 Daye Nam. The network helps show where Daye Nam may publish in the future.
Co-authors
The 19 scholars most cited alongside Daye Nam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Using an LLM to Help With Code Understanding Hit paper breakdown → | 2024 | 126 |
| 2 | Trust in Generative AI among Students: An exploratory study Hit paper breakdown → | 2024 | 58 |
| 3 | 2018 | 12 | |
| 4 | 2019 | 11 | |
| 5 | 2018 | 9 | |
| 6 | 2019 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 6 | |
| 9 | 2024 | 6 | |
| 10 | 2023 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2017 | 2 |
About Daye Nam
Daye Nam is a scholar working on Information Systems, Artificial Intelligence, Computer Science Applications, Software and Computer Networks and Communications, having authored 14 papers that have together received 255 indexed citations. Recurring topics across this work include Software Engineering Research (9 papers), Software Engineering Techniques and Practices (3 papers), Software System Performance and Reliability (3 papers), Online Learning and Analytics (2 papers), Open Source Software Innovations (2 papers), Software Testing and Debugging Techniques (2 papers), Ethics and Social Impacts of AI (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (27 citations), Software (44 citations), Computer Science Applications (49 citations), Information Systems (92 citations) and Artificial Intelligence (105 citations). Daye Nam has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Brad A. Myers, Bogdan Vasilescu, Andrew Macvean, Vincent J. Hellendoorn, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour, Nenad Medvidović, Youn Kyu Lee and Arman Shahbazian. Their work appears in journals such as Computer.
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.