David Arnow

446 citations
36 papers · 322 · h-index 9

Impact in

Papers in

David Arnow

33 papers receiving 275 citations

Peers

David Arnow
Comparison fields: 5 of 66
  • Computer Science Applications 118
  • Software 28
  • Applied Psychology 37
  • Media Technology 42
  • General Psychology 5
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Citations per year

Countries citing papers authored by David Arnow

Since Specialization
Citations

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

Fields of papers citing papers by David Arnow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside David Arnow, 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 David Arnow Line = papers co-authored together David Arnow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198264
2 198859
3 200347
4 199921
5
Introduction to Programming Using Java: An Object-Oriented Approach
199820
6 199517
7 199111
8 199411
9 19958
10
The borderline patient's regression on the Rorschach test. An object-relations interpretation.
19847
11 19996
12 19916
13
DP: a library for building portable, reliable distributed applications
19954
14
Introduction to Programming Using Java; Java 2 Update: An Object-Oriented Approach
19994
15 19954
16 20004
17 19843
18 20003
19 19963
20 20002

About David Arnow

David Arnow is a scholar working on Computer Science Applications, Computer Networks and Communications, Information Systems, Artificial Intelligence and Developmental and Educational Psychology, having authored 36 papers that have together received 322 indexed citations. Recurring topics across this work include Teaching and Learning Programming (6 papers), Online Learning and Analytics (5 papers), Optimization and Search Problems (3 papers), Caching and Content Delivery (3 papers), Distributed and Parallel Computing Systems (3 papers), Advanced Data Storage Technologies (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Computer Science Applications (118 citations), Software (28 citations), Applied Psychology (37 citations), Media Technology (42 citations) and General Psychology (5 citations). David Arnow has collaborated with scholars based in United States and South Africa. Frequent co-authors include Steven H. Cooper, J. Christopher Perry, Michael A. Lee, K. E. Schmidt, M. H. Kalos, Robert H. Harrison, Lynn Andrea Stein, Helen M. Edwards, J.B. Thompson and Judith Bishop. Their work appears in journals such as Journal of Personality Assessment, The Journal of Chemical Physics, ACM SIGMOD Record, The Journal of Israeli History and Computer Science Education.

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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