Brian Broll
Impact in
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- Teaching and Learning Programming
- Online Learning and Analytics
- Software top 5%
- Model-Driven Software Engineering Techniques
Papers in
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- Teaching and Learning Programming 16
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- Experimental Learning in Engineering 7
- Co-authors
- Ákos Lédeczi (19 shared papers)Péter Völgyesi (7 shared papers)Miklós Maróti (6 shared papers)Shuchi Grover (9 shared papers)Tihamér Levendovszky (1 shared paper)János Sallai (3 shared papers)Stephanie L. Weeden-Wright (1 shared paper)Joshua D. Swartz (1 shared paper)
- Journals
- Neural Computing and Applications (1 paper)Journal of Parallel and Distributed Computing (1 paper)Astronomy and Computing (1 paper)Journal of Computer Languages (1 paper)Scientific Programming (1 paper)
- Partner nations
- United States
In The Last Decade
Brian Broll
25 papers receiving 290 citations
Peers
Comparison fields: 5 of 47
- Computer Science Applications 146
- Software 81
- Information Systems 105
- Developmental and Educational Psychology 54
- Media Technology 29
Countries citing papers authored by Brian Broll
This map shows the geographic impact of Brian Broll'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 Brian Broll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Broll more than expected).
Fields of papers citing papers by Brian Broll
This network shows the impact of papers produced by Brian Broll. 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 Brian Broll. The network helps show where Brian Broll may publish in the future.
Co-authors
The 24 scholars most cited alongside Brian Broll, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Next Generation (Meta)Modeling: Web- and Cloud-based Collaborative Tool Infrastructure | 2014 | 96 |
| 2 | 2017 | 61 | |
| 3 | 2019 | 29 | |
| 4 | 2023 | 23 | |
| 5 | 2018 | 20 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 9 | |
| 8 | 2020 | 8 | |
| 9 | 2018 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2022 | 4 | |
| 14 | DeepForge: An Open Source, Collaborative Environment for Reproducible Deep Learning | 2017 | 4 |
| 15 | 2017 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2020 | 3 | |
| 18 | Customizing Scripted Bots: Sample Efficient Imitation Learning for Human-like Behavior in Minecraft | 2019 | 2 |
| 19 | 2017 | 2 | |
| 20 | 2022 | 2 |
About Brian Broll
Brian Broll is a scholar working on Computer Science Applications, Media Technology, Information Systems and Management, Hardware and Architecture and Software, having authored 26 papers that have together received 311 indexed citations. Recurring topics across this work include Teaching and Learning Programming (16 papers), Experimental Learning in Engineering (7 papers), Scientific Computing and Data Management (4 papers), Advanced Malware Detection Techniques (4 papers), Embedded Systems Design Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers), Computational Physics and Python Applications (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Computer Science Applications (146 citations), Software (81 citations), Information Systems (105 citations), Developmental and Educational Psychology (54 citations) and Media Technology (29 citations). Brian Broll has collaborated with scholars based in United States. Frequent co-authors include Ákos Lédeczi, Péter Völgyesi, Miklós Maróti, Shuchi Grover, Tihamér Levendovszky, János Sallai, Stephanie L. Weeden-Wright, Joshua D. Swartz, Gautam Biswas and Nicole M. Hutchins. Their work appears in journals such as Neural Computing and Applications, Journal of Parallel and Distributed Computing, Astronomy and Computing, Journal of Computer Languages and Scientific Programming.
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.