Cornelia Connolly

798 citations
64 papers · 475 · h-index 12

Impact in

Papers in

Cornelia Connolly

61 papers receiving 447 citations

Peers

Cornelia Connolly
Comparison fields: 5 of 69
  • Computer Science Applications 116
  • Education 223
  • Information Systems 128
  • Health Informatics 7
  • Developmental and Educational Psychology 67
Replace Haozhe Jiang with:
Haozhe Jiang China
K. Bret Staudt Willet United States
Miri Shonfeld Israel
Kerry Rice United States
Eunbae Lee United States
Tonia A. Dousay United States
Kingsley Okoye Mexico
Cristina Mercader Juan Spain
Linda Shear United States
Hamdan Alamri Saudi Arabia
Cornelia Connolly relative to Haozhe Jiang China Haozhe Jiang's profile →
Citations per field
00.5×4.4×
Haozhe Jiang · 1×
Citations per year

Countries citing papers authored by Cornelia Connolly

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Connolly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 202051
3 200841
4 202218
5 202016
6 202216
7 202313
8 202312
9 201512
10 202211
11 202111
12 202111
13 202110
14 20209
15 20228
16
Second Chance Learners, Supporting Adults Learning Computer Programming
20078
17 20237
18 20207
19 20227
20 20226

About Cornelia Connolly

Cornelia Connolly is a scholar working on Education, Computer Science Applications, Developmental and Educational Psychology, Information Systems and Social Psychology, having authored 64 papers that have together received 475 indexed citations. Recurring topics across this work include Teaching and Learning Programming (14 papers), Online Learning and Analytics (12 papers), Educational Games and Gamification (11 papers), Online and Blended Learning (9 papers), Innovative Teaching and Learning Methods (9 papers), Teacher Education and Leadership Studies (7 papers), Gender and Technology in Education (5 papers) and COVID-19 and Mental Health (4 papers). The work is most often cited by research in Computer Science Applications (116 citations), Education (223 citations), Information Systems (128 citations), Health Informatics (7 citations) and Developmental and Educational Psychology (67 citations). Cornelia Connolly has collaborated with scholars based in Ireland, Spain and Germany. Frequent co-authors include Tony Hall, Eamonn Murphy, Raquel Hijón‐Neira, Elaine Keane, Kevin Burden, Matthew Kearney, Manuela Heinz, Dylan Scanlon, Sandy Schuck and Marie Evens. Their work appears in journals such as Computers in the Schools, European Journal of Teacher Education, Australasian Journal of Educational Technology, Educational Technology Research and Development and Proceedings of the IEEE.

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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