James H. Paterson

1.9k citations
46 papers · 1.3k indexed · 1 hit paper · h-index 14
Topics
Teaching and Learning Programming (16 papers)Software Engineering Research (11 papers)Online Learning and Analytics (9 papers)

In The Last Decade

James H. Paterson

45 papers receiving 1.2k citations

Hit Papers

Introductory programming: a systematic literature review20182026202020232018100200300

Peers

James H. Paterson
Comparison fields: 5 of 95
  • Computer Science Applications 890
  • Developmental and Educational Psychology 362
  • Information Systems 360
  • Media Technology 198
  • Software 198
Replace Irvin R. Katz with:
Irvin R. Katz United States
Yue Yin United States
Pratim Sengupta United States
Geoffrey Herman United States
Manuel Ortega Spain
Cynthia Taylor United States
Shiyan Jiang United States
Monica M. McGill United States
Heidi J. C. Ellis United States
Roger McDermott United Kingdom
James H. Paterson relative to Irvin R. Katz United States Irvin R. Katz's profile →
Citations per field
00.5×7.1×
Irvin R. Katz · 1×
Citations per year

Countries citing papers authored by James H. Paterson

Since Specialization
Citations

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

Fields of papers citing papers by James H. Paterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James H. Paterson. 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 James H. Paterson. The network helps show where James H. Paterson may publish in the future.

Co-authorship network of co-authors of James H. Paterson

This figure shows the co-authorship network connecting the top 25 collaborators of James H. Paterson. A scholar is included among the top collaborators of James H. Paterson 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 James H. Paterson. James H. Paterson 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
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2 1
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7 1
8 11
9 22
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Introductory programming: a systematic literature reviewbreakdown →
315
13
Teaching NoSQL with RavenDB and Neo4j
1
14 18
15 19
16 313
17 4
18 1
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20 3

About James H. Paterson

James H. Paterson is a scholar working on Computer Science Applications, Software and Development, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Teaching and Learning Programming (16 papers), Software Engineering Research (11 papers) and Online Learning and Analytics (9 papers). The work is most often cited by research in Computer Science Applications (890 citations), Software (198 citations) and Developmental and Educational Psychology (362 citations). James H. Paterson has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Arnold Pears, Linda Mannila, Elizabeth Adams, Marie Devlin, Lauri Malmi, Stephen B. Seidman, Jens Bennedsen, Ondrej L. Krivanek, Judy Sheard and Brett A. Becker. Their work appears in journals such as Applied Sciences, Ultramicroscopy and Journal of Microscopy.

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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