Christopher W. Starr

475 citations
19 papers · 358 · h-index 7

Impact in

Papers in

Christopher W. Starr

18 papers receiving 317 citations

Peers

Christopher W. Starr
Comparison fields: 5 of 78
  • Computer Science Applications 136
  • Management Information Systems 57
  • Information Systems and Management 43
  • Media Technology 46
  • Developmental and Educational Psychology 57
Replace Chantal Buteau with:
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Citations per field
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Citations per year

Countries citing papers authored by Christopher W. Starr

Since Specialization
Citations

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

Fields of papers citing papers by Christopher W. Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher W. Starr. 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 Christopher W. Starr. The network helps show where Christopher W. Starr may publish in the future.

Co-authors

The 14 scholars most cited alongside Christopher W. Starr, 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 Christopher W. Starr Line = papers co-authored together Christopher W. Starr links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201480
2 200877
3 200871
4 202069
5 200412
6
A proposal to evaluate the effectiveness of closed laboratories in the computer science curriculum
20048
7 20068
8 20206
9 20096
10 20025
11 19913
12 20093
13
RADIATION IN PERSPECTIVE
19642
14 20202
15 19742
16 20052
17 20191
18 20091
19 20090

About Christopher W. Starr

Christopher W. Starr is a scholar working on Computer Science Applications, Information Systems, Media Technology, Marketing and Information Systems and Management, having authored 19 papers that have together received 358 indexed citations. Recurring topics across this work include Teaching and Learning Programming (6 papers), Experimental Learning in Engineering (4 papers), Information Systems Education and Curriculum Development (4 papers), Innovative Teaching and Learning Methods (2 papers), Reflective Practices in Education (2 papers), Scientific Computing and Data Management (2 papers), Smart Cities and Technologies (2 papers) and Online Learning and Analytics (2 papers). The work is most often cited by research in Computer Science Applications (136 citations), Management Information Systems (57 citations), Information Systems and Management (43 citations), Media Technology (46 citations) and Developmental and Educational Psychology (57 citations). Christopher W. Starr has collaborated with scholars based in United States and Canada. Frequent co-authors include Bill Manaris, Elaine Worzala, Renée McCauley, Paul E. Anderson, James F. Bowring, Walter Pharr, Paul A. Buhler, José M. Vidal, Chris Shaw and David S. Ebert. Their work appears in journals such as Journal of Property Investment and Finance, Journal of Corporate Real Estate, Lecture notes in computer science, Southern Medical Journal and ACM SIGCSE Bulletin.

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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