Eric Freudenthal

1.0k citations
45 papers · 611 · h-index 9

Impact in

Papers in

Eric Freudenthal

37 papers receiving 556 citations

Peers

Eric Freudenthal
Comparison fields: 5 of 52
  • Computer Networks and Communications 404
  • Computer Science Applications 50
  • Information Systems 150
  • Hardware and Architecture 43
  • Media Technology 50
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Countries citing papers authored by Eric Freudenthal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 24 scholars most cited alongside Eric Freudenthal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric Freudenthal Line = papers co-authored together Eric Freudenthal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Democratizing content publication with coral
2004302
2 2003122
3 199139
4 200825
5 200722
6 200713
7
Evaluation Of HF RFID for Implanted Medical Applications
200710
8 201010
9 20108
10 20097
11 20095
12 20164
13 20084
14 20104
15 20043
16 20203
17
Knowledge transfer in deep convolutional neural nets
20072
18 20042
19 20202
20 20102

About Eric Freudenthal

Eric Freudenthal is a scholar working on Computer Science Applications, Media Technology, Computer Networks and Communications, Artificial Intelligence and Education, 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), Distributed systems and fault tolerance (6 papers), Science Education and Pedagogy (5 papers), Optimization and Search Problems (4 papers), Mathematics Education and Teaching Techniques (4 papers), Distributed and Parallel Computing Systems (4 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (404 citations), Computer Science Applications (50 citations), Information Systems (150 citations), Hardware and Architecture (43 citations) and Media Technology (50 citations). Eric Freudenthal has collaborated with scholars based in United States, Japan and Thailand. Frequent co-authors include David Mazières, Michael J. Freedman, Vijay Karamcheti, Allan Gottlieb, Olac Fuentes, Alan Siegel, Ann Q. Gates, Tanja Magoč, Art M. Duval and François Modave. Their work appears in journals such as ACM SIGPLAN Notices, ACM SIGOPS Operating Systems Review, International Journal of Artificial Intelligence Tools, The Florida AI Research Society and Mathematics Teaching in the Middle School.

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.

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