Zachary MacHardy
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Automotive Engineering top 10%
- Artificial Intelligence
- Control and Systems Engineering
- Co-authors
- Kazuaki ObanaAshiq KhanShigeru IwashinaZachary A. PardosDaniel D. GarciaPrasun DewanTiffany BarnesBrian Harvey
- Topics
- Online Learning and Analytics (4 papers)Teaching and Learning Programming (4 papers)Intelligent Tutoring Systems and Adaptive Learning (3 papers)
- Journals
- IEEE Communications Surveys & TutorialsEducational Data MiningUC Berkeley
- Partner nations
- United StatesJapan
In The Last Decade
Zachary MacHardy
9 papers receiving 318 citations
Peers
Comparison fields: 5 of 42
- Electrical and Electronic Engineering 240
- Computer Networks and Communications 126
- Automotive Engineering 68
- Artificial Intelligence 51
- Control and Systems Engineering 38
Countries citing papers authored by Zachary MacHardy
This map shows the geographic impact of Zachary MacHardy'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 Zachary MacHardy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zachary MacHardy more than expected).
Fields of papers citing papers by Zachary MacHardy
This network shows the impact of papers produced by Zachary MacHardy. 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 Zachary MacHardy. The network helps show where Zachary MacHardy may publish in the future.
Co-authorship network of co-authors of Zachary MacHardy
This figure shows the co-authorship network connecting the top 25 collaborators of Zachary MacHardy. A scholar is included among the top collaborators of Zachary MacHardy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zachary MacHardy. Zachary MacHardy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 283 | |
| 2 | Evaluating the Relevance of Educational Videos Using BKT and Big Data. | 13 |
| 3 | 1 | |
| 4 | Applications of Bayesian Knowledge Tracing to the Curation of Educational Videos | 2 |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 6 |
About Zachary MacHardy
Zachary MacHardy is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Artificial Intelligence, having authored 9 papers that have together received 333 indexed citations. Recurring topics across this work include Online Learning and Analytics (4 papers), Teaching and Learning Programming (4 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). The work is most often cited by research in Computer Science Applications (34 citations), Automotive Engineering (68 citations) and Computer Networks and Communications (126 citations). Zachary MacHardy has collaborated with scholars based in United States and Japan. Frequent co-authors include Kazuaki Obana, Ashiq Khan, Shigeru Iwashina, Zachary A. Pardos, Daniel D. Garcia, Prasun Dewan, Tiffany Barnes, Brian Harvey, Michael Ball and Sean Michael Morris. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Educational Data Mining and UC Berkeley.
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.