Brian Hanks

1.7k citations
42 papers · 1.2k · h-index 20

Impact in

Papers in

Brian Hanks

42 papers receiving 1.1k citations

Peers

Brian Hanks
Comparison fields: 5 of 54
  • Computer Science Applications 889
  • Software 125
  • Developmental and Educational Psychology 388
  • Information Systems 555
  • Media Technology 129
Replace Julian Fernald with:
Julian Fernald United States
Carol Zander United States
Charlie McDowell United States
Yifat Ben‐David Kolikant Israel
Michael Goldweber United States
Miriam Ferzli United States
Brian Dorn United States
António José Mendes Portugal
Anna Eckerdal Sweden
Colleen M. Lewis United States
Brian Hanks relative to Julian Fernald United States Julian Fernald's profile →
Citations per field
00.5×3.1×
Julian Fernald · 1×
Citations per year

Countries citing papers authored by Brian Hanks

Since Specialization
Citations

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

Fields of papers citing papers by Brian Hanks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004187
2 2011100
3 200493
4 200365
5 200955
6 200844
7 200644
8 200342
9 200741
10 201437
11 200833
12 200630
13 201029
14 200527
15 201027
16 200922
17 200621
18 200721
19 201521
20 200819

About Brian Hanks

Brian Hanks is a scholar working on Computer Science Applications, Information Systems, Developmental and Educational Psychology, Software and Gender Studies, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Teaching and Learning Programming (32 papers), Software Engineering Techniques and Practices (23 papers), Software Engineering Research (19 papers), Innovative Teaching and Learning Methods (7 papers), Online Learning and Analytics (6 papers), Open Source Software Innovations (4 papers), Software Testing and Debugging Techniques (3 papers) and Educational Games and Gamification (3 papers). The work is most often cited by research in Computer Science Applications (889 citations), Software (125 citations), Developmental and Educational Psychology (388 citations), Information Systems (555 citations) and Media Technology (129 citations). Brian Hanks has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Charlie McDowell, Linda Werner, Renée McCauley, Laurie Murphy, Sue Fitzgerald, Beth Simon, Carol Zander, Milovan Krnjajić, David Draper and Raymond Lister. Their work appears in journals such as International Journal of Human-Computer Studies, IEEE Transactions on Education, Computer Science Education, Journal of computing sciences in colleges and QUT ePrints (Queensland University of Technology).

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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