Stephen Frezza

486 citations
58 papers · 353 · h-index 10

Impact in

Papers in

    • Software Engineering Techniques and Practices 10
    • Information Systems Education and Curriculum Development 9
    • Software Engineering Research 7
    • Higher Education Learning Practices 7

Stephen Frezza

53 papers receiving 326 citations

Peers

Stephen Frezza
Comparison fields: 5 of 61
  • Computer Science Applications 118
  • Media Technology 60
  • Information Systems 149
  • Software 25
  • Education 130
Replace Brian R. von Konsky with:
Brian R. von Konsky Australia
Alex Radermacher United States
Christopher Bull United Kingdom
Sigrid Schubert Germany
Maíra Marques Samary Chile
Elizabeth Patitsas Canada
Jocelyn Armarego Australia
Natalie Kiesler Germany
Ville Isomöttönen Finland
Tatjana Jevsikova Lithuania
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Frezza

Since Specialization
Citations

This map shows the geographic impact of Stephen Frezza'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 Stephen Frezza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Frezza more than expected).

Fields of papers citing papers by Stephen Frezza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Frezza. 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 Stephen Frezza. The network helps show where Stephen Frezza may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen Frezza, 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 Stephen Frezza Line = papers co-authored together Stephen Frezza links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201878
2 202034
3 202024
4 201920
5 201817
6 200315
7 201313
8 200913
9 200611
10 20219
11 20208
12 19968
13 19937
14 20066
15 20125
16 19955
17 20235
18 20044
19 20204
20 20224

About Stephen Frezza

Stephen Frezza is a scholar working on Information Systems, Education, Computer Science Applications, Software and Cognitive Neuroscience, having authored 58 papers that have together received 353 indexed citations. Recurring topics across this work include Teaching and Learning Programming (11 papers), Software Engineering Techniques and Practices (10 papers), Information Systems Education and Curriculum Development (9 papers), Engineering Education and Curriculum Development (8 papers), Cognitive Science and Education Research (8 papers), Higher Education Learning Practices (7 papers), Software Engineering Research (7 papers) and Model-Driven Software Engineering Techniques (6 papers). The work is most often cited by research in Computer Science Applications (118 citations), Media Technology (60 citations), Information Systems (149 citations), Software (25 citations) and Education (130 citations). Stephen Frezza has collaborated with scholars based in United States, Sweden and South Sudan. Frequent co-authors include Mats Daniels, Arnold Pears, Mihaela Sabin, Tony Clear, Viggo Kann, Amanpreet Kapoor, Åsa Cajander, Charles Wallace, Roger McDermott and Anne-Kathrin Peters. Their work appears in journals such as Computers in Industry, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Computing Education, IEEE Software and Computer.

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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