Denae Ford

2.0k citations
46 papers · 1.2k · h-index 20

Impact in

    • Open Source Software Innovations
    • Teaching and Learning Programming
    • Mobile Crowdsensing and Crowdsourcing
    • Wikis in Education and Collaboration
    • Knowledge Management and Sharing

Papers in

Denae Ford

44 papers receiving 1.2k citations

Peers

Denae Ford
Comparison fields: 5 of 82
  • Computer Science Applications 394
  • Communication 194
  • Information Systems 604
  • Health Informatics 29
  • Software 81
Replace Ralf Klamma with:
Ralf Klamma Germany
Anders I. Mørch Norway
Davinia Hernández‐Leo Spain
Tamara Sumner United States
Stavros Demetriadis Greece
Chee‐Kit Looi Singapore
Irwin Kwan United States
Vassilis Komis Greece
Marek Hatala Canada
Chinmay Kulkarni United States
Denae Ford relative to Ralf Klamma Germany Ralf Klamma's profile →
Citations per field
00.5×8.3×
Ralf Klamma · 1×
Citations per year

Countries citing papers authored by Denae Ford

Since Specialization
Citations

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

Fields of papers citing papers by Denae Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003141
2 2021133
3 202287
4 201682
5 202174
6 201773
7 202256
8 201849
9 201843
10 202435
11 201935
12 201834
13 202133
14 201933
15 201727
16 201527
17 201726
18 201624
19 202320
20 201720

About Denae Ford

Denae Ford is a scholar working on Information Systems, Computer Science Applications, Communication, Sociology and Political Science and Artificial Intelligence, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software Engineering Research (19 papers), Open Source Software Innovations (19 papers), Software Engineering Techniques and Practices (11 papers), Wikis in Education and Collaboration (7 papers), Mobile Crowdsensing and Crowdsourcing (6 papers), Software System Performance and Reliability (5 papers), Digital Games and Media (4 papers) and Ethics and Social Impacts of AI (4 papers). The work is most often cited by research in Computer Science Applications (394 citations), Communication (194 citations), Information Systems (604 citations), Health Informatics (29 citations) and Software (81 citations). Denae Ford has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Chris Parnin, Thomas Zimmermann, Mike Cohn, Christian Bird, Alexander Serebrenik, Margaret‐Anne Storey, Nachiappan Nagappan, Justin Smith, Emerson Murphy-Hill and Philip J. Guo. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, interactions, Proceedings of the ACM on Human-Computer Interaction, Computer and PeerJ Computer Science.

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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