Paul Gross

540 total citations
14 papers, 405 citations indexed

About

Paul Gross is a scholar working on Computer Science Applications, Software and Media Technology. According to data from OpenAlex, Paul Gross has authored 14 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Science Applications, 9 papers in Software and 6 papers in Media Technology. Recurrent topics in Paul Gross's work include Teaching and Learning Programming (9 papers), Experimental Learning in Engineering (6 papers) and Software Engineering Research (5 papers). Paul Gross is often cited by papers focused on Teaching and Learning Programming (9 papers), Experimental Learning in Engineering (6 papers) and Software Engineering Research (5 papers). Paul Gross collaborates with scholars based in United States. Paul Gross's co-authors include Kris Powers, Cinda Heeren, Michael C. Loui, Lisa C. Kaczmarczyk, Craig Zilles, Geoffrey Herman, Caitlin Kelleher, Myles McNally, Steve Cooper and Kenneth J. Goldman and has published in prestigious journals such as Journal of Visual Languages & Computing, ACM Transactions on Computing Education and ACM SIGCSE Bulletin.

In The Last Decade

Paul Gross

14 papers receiving 382 citations

Peers

Paul Gross
Comparison fields: 5 of 53
  • Computer Science Applications 316
  • Developmental and Educational Psychology 152
  • Media Technology 96
  • Information Systems 86
  • Software 76
Replace Stuart Reges with:
Stuart Reges United States
Mark Stehlik United States
Kris Powers United States
Angela Carbone Australia
Erkki Kaila Finland
Jana Jacková Slovakia
Lisa C. Kaczmarczyk United States
Dennis Bouvier United States
Jonas Boustedt Sweden
Henry Leitner United States
Stuart Reges United States View profile →
Citations per field, relative to Paul Gross
Paul Gross · 1×
Citations per year, relative to Paul Gross
Paul Gross · 1×

Countries citing papers authored by Paul Gross

Since Specialization
Citations

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

Fields of papers citing papers by Paul Gross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Gross

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Gross. A scholar is included among the top collaborators of Paul Gross 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 Paul Gross. Paul Gross is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 1
2 11
3
The Looking Glass IDE for learning computer programming through storytelling and history exploration: conference workshop
3
4 31
5 67
6 6
7 4
8 92
9 52
10 2
11 49
12 16
13 2
14 69

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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