Christopher Scaffidi

59 papers receiving 725 citations

Peers

Christopher Scaffidi
Comparison fields: 5 of 73
  • Software 200
  • Computer Science Applications 262
  • Information Systems 374
  • Information Systems and Management 78
  • Human-Computer Interaction 43
Replace Roland T. Mittermeir with:
Roland T. Mittermeir Austria
Will Snipes United States
Cornelia Boldyreff United Kingdom
Michael Coblenz United States
W. Richards Adrion United States
Max Goldman United States
David Piorkowski United States
Damiano Distante Italy
Scott Henninger United States
Lingfeng Bao China
Christopher Scaffidi relative to Roland T. Mittermeir Austria Roland T. Mittermeir's profile →
Citations per field
00.5×3.6×
Roland T. Mittermeir · 1×
Citations per year

Countries citing papers authored by Christopher Scaffidi

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Scaffidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007141
2 201143
3 201342
4 201239
5 200836
6 201531
7 200830
8 200829
9 201828
10 201923
11 201023
12 201623
13 200622
14 201317
15 200617
16 200916
17 201414
18 200513
19 200711
20 200711

About Christopher Scaffidi

Christopher Scaffidi is a scholar working on Information Systems, Software, Computer Science Applications, Computer Networks and Communications and Developmental and Educational Psychology, having authored 63 papers that have together received 768 indexed citations. Recurring topics across this work include Spreadsheets and End-User Computing (26 papers), Software Engineering Research (21 papers), Open Source Software Innovations (10 papers), Educational Games and Gamification (9 papers), Teaching and Learning Programming (9 papers), Mobile Crowdsensing and Crowdsourcing (8 papers), Advanced Database Systems and Queries (7 papers) and Green IT and Sustainability (7 papers). The work is most often cited by research in Software (200 citations), Computer Science Applications (262 citations), Information Systems (374 citations), Information Systems and Management (78 citations) and Human-Computer Interaction (43 citations). Christopher Scaffidi has collaborated with scholars based in United States, Cameroon and Portugal. Frequent co-authors include Mary Shaw, Christopher P. Chambers, Brad A. Myers, Margaret Burnett, Kevin Bierhoff, Eric Chang, Chun Jin, Scott Fleming, David Piorkowski and Christopher Bogart. Their work appears in journals such as Journal of Visual Languages & Computing, International Journal of Human-Computer Interaction, BMC Public Health, Interacting with Computers and IEEE Transactions on Education.

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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