Eric Freudenthal
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Sociology and Political Science top 10%
- Media Technology top 10%
- Co-authors
- David MazièresMichael J. FreedmanVijay KaramchetiAllan GottliebOlac FuentesAlan SiegelTanja MagočAnn Q. Gates
- Topics
- Teaching and Learning Programming (16 papers)Experimental Learning in Engineering (11 papers)Distributed systems and fault tolerance (6 papers)
- Journals
- ACM SIGPLAN NoticesACM SIGOPS Operating Systems ReviewInternational Journal of Artificial Intelligence Tools
- Partner nations
- United StatesJapanItaly
In The Last Decade
Eric Freudenthal
37 papers receiving 556 citations
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 404
- Artificial Intelligence 153
- Information Systems 150
- Sociology and Political Science 115
- Media Technology 50
Countries citing papers authored by Eric Freudenthal
This map shows the geographic impact of Eric Freudenthal'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 Eric Freudenthal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Freudenthal more than expected).
Fields of papers citing papers by Eric Freudenthal
This network shows the impact of papers produced by Eric Freudenthal. 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 Eric Freudenthal. The network helps show where Eric Freudenthal may publish in the future.
Co-authorship network of co-authors of Eric Freudenthal
This figure shows the co-authorship network connecting the top 25 collaborators of Eric Freudenthal. A scholar is included among the top collaborators of Eric Freudenthal 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 Eric Freudenthal. Eric Freudenthal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | How to gauge disruptions caused by garbage collection: Towards an efficient algorithm | 0 |
| 7 | Conservation of Energy Implies Conservation of Momentum: How We Can Explain Conservation of Momentum to Before-Calculus Students | 0 |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | The utility of knowledge transfer for noisy data | 1 |
| 13 | 4 | |
| 14 | Knowledge transfer in deep convolutional neural nets | 2 |
| 15 | Evaluation Of HF RFID for Implanted Medical Applications | 10 |
| 16 | 2 | |
| 17 | Democratizing content publication with coral | 302 |
| 18 | 2 | |
| 19 | 122 | |
| 20 | 1 |
About Eric Freudenthal
Eric Freudenthal is a scholar working on Computer Science Applications, Architecture and Media Technology, having authored 45 papers that have together received 611 indexed citations. Recurring topics across this work include Teaching and Learning Programming (16 papers), Experimental Learning in Engineering (11 papers) and Distributed systems and fault tolerance (6 papers). The work is most often cited by research in Computer Networks and Communications (404 citations), Computer Science Applications (50 citations) and Information Systems (150 citations). Eric Freudenthal has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include David Mazières, Michael J. Freedman, Vijay Karamcheti, Allan Gottlieb, Olac Fuentes, Alan Siegel, Tanja Magoč, Ann Q. Gates, Christian Servín and Martine Ceberio. Their work appears in journals such as ACM SIGPLAN Notices, ACM SIGOPS Operating Systems Review and International Journal of Artificial Intelligence Tools.
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.