Patricia Haden

936 citations
24 papers · 645 indexed · h-index 15

Patricia Haden

23 papers receiving 596 citations

Peers

Patricia Haden
Comparison fields: 5 of 82
  • Computer Science Applications 509
  • Developmental and Educational Psychology 281
  • Information Systems 137
  • Education 109
  • Media Technology 105
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Lauren E. Margulieux United States
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Citations per year

Countries citing papers authored by Patricia Haden

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Haden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Haden

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Haden. A scholar is included among the top collaborators of Patricia Haden based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patricia Haden. Patricia Haden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 24
2 8
3 1
4 10
5 37
6 14
7 1
8
Do map drawing styles of novice programmers predict success in programming?: a multi-national, multi-institutional study
24
9
The incredible rainbow spitting chicken: teaching traditional programming skills through games programming
16
10
Parson's programming puzzles: a fun and effective learning tool for first programming courses
146
11
Problem distributions in a CS1 course
35
12
The ability to articulate strategy as a predictor of programming skill
21
13
Predictors of success in a first programming course
84
14
Statistical Analysis with The General Linear Model 1
21
15
My program is correct but it doesn't run: a preliminary investigation of novice programmers' problems
67
16
Approaches to learning in computer programming students and their effect on success
34
17
BRACE Yourself: CS Education Research Is Coming
1
18 11
19 15
20
Fractures occurring in a mental hospital: a two-year study to determine their cause and prevention.
0

About Patricia Haden

Patricia Haden is a scholar working on Computer Science Applications, Software and Developmental and Educational Psychology, having authored 24 papers that have together received 645 indexed citations. Recurring topics across this work include Teaching and Learning Programming (15 papers), Innovative Teaching and Learning Methods (7 papers) and Online Learning and Analytics (5 papers). The work is most often cited by research in Computer Science Applications (509 citations), Developmental and Educational Psychology (281 citations) and Software (56 citations). Patricia Haden has collaborated with scholars based in New Zealand, Australia and United Kingdom. Frequent co-authors include Anthony Robins, Sally Fincher, Marian Petre, Raymond Lister, Quintin Cutts, Denise Tolhurst, Michael de Raadt, Ken Sutton, John Hamer and Jeff Miller. Their work appears in journals such as Endocrinology, Journal of Experimental Psychology Human Perception & Performance and Academic Medicine.

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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