Arav Agarwal
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
-
- Teaching and Learning Programming 8
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- Topic Modeling 4
- Intelligent Tutoring Systems and Adaptive Learning 3
- Natural Language Processing Techniques 2
- Co-authors
- Jaromír Šavelka (12 shared papers)Christopher Bogart (8 shared papers)Majd F. Sakr (5 shared papers)Majd F. Sakr (4 shared papers)Yifan Song (1 shared paper)Matthew P. Juniper (1 shared paper)Alexander J.R. Bishop (1 shared paper)Shizuka Uchida (1 shared paper)
- Journals
- Journal of Fluid Mechanics (2 papers)Journal of Computer Assisted Learning (1 paper)Non-Coding RNA (1 paper)Lecture notes in computer science (1 paper)Communications in computer and information science (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Arav Agarwal
15 papers receiving 364 citations
Arav Agarwal's Hit Papers
Peers
Comparison fields: 5 of 59
- Health Informatics 64
- Computer Science Applications 159
- Software 30
- Artificial Intelligence 138
- Information Systems 78
Countries citing papers authored by Arav Agarwal
This map shows the geographic impact of Arav Agarwal'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 Arav Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arav Agarwal more than expected).
Fields of papers citing papers by Arav Agarwal
This network shows the impact of papers produced by Arav Agarwal. 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 Arav Agarwal. The network helps show where Arav Agarwal may publish in the future.
Co-authors
The 14 scholars most cited alongside Arav Agarwal, 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 | Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses Hit paper breakdown → | 2023 | 103 |
| 2 | Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? Hit paper breakdown → | 2023 | 84 |
| 3 | A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education Hit paper breakdown → | 2024 | 64 |
| 4 | 2023 | 41 | |
| 5 | 2015 | 18 | |
| 6 | 2022 | 17 | |
| 7 | 2017 | 14 | |
| 8 | 2024 | 7 | |
| 9 | 2025 | 6 | |
| 10 | 2024 | 5 | |
| 11 | Viscous Linear Instability of an Incompressible Round Jet | 2007 | 2 |
| 12 | 2025 | 2 | |
| 13 | 2026 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 |
About Arav Agarwal
Arav Agarwal is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems, Computational Mechanics and Ocean Engineering, having authored 16 papers that have together received 366 indexed citations. Recurring topics across this work include Teaching and Learning Programming (8 papers), Topic Modeling (4 papers), Software Engineering Research (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Cyclone Separators and Fluid Dynamics (2 papers), Natural Language Processing Techniques (2 papers), Particle Dynamics in Fluid Flows (2 papers) and Aerosol Filtration and Electrostatic Precipitation (2 papers). The work is most often cited by research in Health Informatics (64 citations), Computer Science Applications (159 citations), Software (30 citations), Artificial Intelligence (138 citations) and Information Systems (78 citations). Arav Agarwal has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Jaromír Šavelka, Christopher Bogart, Majd F. Sakr, Majd F. Sakr, Yifan Song, Matthew P. Juniper, Alexander J.R. Bishop, Shizuka Uchida, Henry E. Miller and Sakari Kauppinen. Their work appears in journals such as Journal of Fluid Mechanics, Journal of Computer Assisted Learning, Non-Coding RNA, Lecture notes in computer science and Communications in computer and information science.
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.