Seth Bernstein
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Teaching and Learning Programming
- Online Learning and Analytics
Papers in
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- Teaching and Learning Programming 4
- Online Learning and Analytics 1
- Software 3
- Software Testing and Debugging Techniques 3
- Co-authors
- Stephen MacNeilAndrew TranArto HellasJuho LeinonenSami SarsaPaul DennyJoanne KimMichel Wermelinger
- Journals
- Jyväskylä University Digital Archive (University of Jyväskylä) (1 paper)Open Research Online (The Open University) (1 paper)Aaltodoc (Aalto University) (2 papers)
- Partner nations
- United StatesFinlandNew Zealand
In The Last Decade
Seth Bernstein
7 papers receiving 285 citations
Hit Papers
Peers
Comparison fields: 5 of 41
- Health Informatics 54
- Computer Science Applications 171
- Software 42
- Information Systems 96
- Artificial Intelligence 128
Countries citing papers authored by Seth Bernstein
This map shows the geographic impact of Seth Bernstein'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 Seth Bernstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seth Bernstein more than expected).
Fields of papers citing papers by Seth Bernstein
This network shows the impact of papers produced by Seth Bernstein. 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 Seth Bernstein. The network helps show where Seth Bernstein may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Seth Bernstein, 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 | 2024 | 14 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 12 | |
| 4 | Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book Hit paper breakdown → | 2023 | 115 |
| 5 | 2022 | 26 | |
| 6 | Generating Diverse Code Explanations using the GPT-3 Large Language Model Hit paper breakdown → | 2022 | 126 |
| 7 | 2013 | 1 |
About Seth Bernstein
Seth Bernstein is a scholar working on Computer Science Applications, Software, Hardware and Architecture, Artificial Intelligence and Information Systems, having authored 7 papers that have together received 295 indexed citations. Recurring topics across this work include Teaching and Learning Programming (4 papers), Software Testing and Debugging Techniques (3 papers), Software Engineering Research (2 papers), Natural Language Processing Techniques (2 papers), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Mathematics, Computing, and Information Processing (1 paper), Online Learning and Analytics (1 paper) and Innovative Teaching and Learning Methods (1 paper). The work is most often cited by research in Health Informatics (54 citations), Computer Science Applications (171 citations), Software (42 citations), Information Systems (96 citations) and Artificial Intelligence (128 citations). Seth Bernstein has collaborated with scholars based in United States, Finland and New Zealand. Frequent co-authors include Stephen MacNeil, Andrew Tran, Arto Hellas, Juho Leinonen, Sami Sarsa, Paul Denny, Joanne Kim, Michel Wermelinger, James Prather and Viraj Kumar. Their work appears in journals such as Jyväskylä University Digital Archive (University of Jyväskylä), Open Research Online (The Open University) and Aaltodoc (Aalto University).
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.