Daryl D’Souza

41 papers receiving 583 citations

Peers

Daryl D’Souza
Comparison fields: 5 of 63
  • Computer Science Applications 409
  • Education 193
  • Information Systems 165
  • Developmental and Educational Psychology 150
  • Media Technology 86
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Matti Luukkainen Finland
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Christine Prasad New Zealand
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Citations per year

Countries citing papers authored by Daryl D’Souza

Since Specialization
Citations

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

Fields of papers citing papers by Daryl D’Souza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daryl D’Souza. 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 Daryl D’Souza. The network helps show where Daryl D’Souza may publish in the future.

Co-authorship network of co-authors of Daryl D’Souza

This figure shows the co-authorship network connecting the top 25 collaborators of Daryl D’Souza. A scholar is included among the top collaborators of Daryl D’Souza 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 Daryl D’Souza. Daryl D’Souza 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 3
2 10
3
How (not) to write an introductory programming exam
5
4 8
5 4
6 34
7 6
8
Toward a shared understanding of competency in programming: An invitation to the BABELnot project
12
9
The use of laptop computers in programming lectures
1
10
Introductory programming: examining the exams
27
11 32
12 66
13
Transforming learning of programming: A mentoring project
1
14 25
15
Software development marketplaces: implications for plagiarism
9
16 4
17
Is CORI Effective for Collection Selection? An Exploration of Parameters, Queries, and Data.
13
18
Melbourne TREC-9 Experiments.
6
19
Collection Selection Using n-Term Indexing.
4
20
The Cost of Relational Algebraic Operations on Skewed Data: Estimates and Experiments.
23

About Daryl D’Souza

Daryl D’Souza is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Software, having authored 42 papers that have together received 622 indexed citations. Recurring topics across this work include Teaching and Learning Programming (24 papers), Online Learning and Analytics (14 papers) and Educational Games and Gamification (10 papers). The work is most often cited by research in Computer Science Applications (409 citations), Software (64 citations) and Developmental and Educational Psychology (150 citations). Daryl D’Souza has collaborated with scholars based in Australia, Finland and New Zealand. Frequent co-authors include Margaret Hamilton, Mikko‐Jussi Laakso, Shuhaida Mohamed Shuhidan, James Harland, Norma P. Simon, Judy Sheard, James A. Thom, Justin Zobel, Angela Carbone and Cliff Da Costa. Their work appears in journals such as Information Processing & Management, Journal of Computer Assisted Learning and Journal of Educational Computing Research.

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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