J.S. Collofello

841 citations
36 papers · 578 · h-index 11

Impact in

  • Software top 1%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Software Engineering Research
    • Software Engineering Techniques and Practices
    • Service-Oriented Architecture and Web Services

Papers in

    • Software Engineering Research 27
    • Software Engineering Techniques and Practices 19
    • Software Reliability and Analysis Research 18
    • Software Testing and Debugging Techniques 4

J.S. Collofello

34 papers receiving 522 citations

Peers

J.S. Collofello
Comparison fields: 5 of 46
  • Software 301
  • Information Systems 442
  • Computer Science Applications 63
  • Artificial Intelligence 171
  • Management Information Systems 35
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Citations per field
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Citations per year

Countries citing papers authored by J.S. Collofello

Since Specialization
Citations

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

Fields of papers citing papers by J.S. Collofello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.S. Collofello. 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 J.S. Collofello. The network helps show where J.S. Collofello may publish in the future.

Co-authors

The 20 scholars most cited alongside J.S. Collofello, 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 J.S. Collofello Line = papers co-authored together J.S. Collofello 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 1980154
2 198591
3 200490
4 200023
5 200221
6 200219
7 198718
8 200517
9 198814
10 199212
11 200612
12 200310
13 200210
14 20028
15 19838
16 20047
17 20037
18 19896
19 20036
20 20026

About J.S. Collofello

J.S. Collofello is a scholar working on Information Systems, Software, Computer Networks and Communications, Computer Science Applications and Management Information Systems, having authored 36 papers that have together received 578 indexed citations. Recurring topics across this work include Software Engineering Research (27 papers), Software Engineering Techniques and Practices (19 papers), Software Reliability and Analysis Research (18 papers), Software System Performance and Reliability (8 papers), Software Testing and Debugging Techniques (4 papers), Business Process Modeling and Analysis (3 papers), Technology Assessment and Management (3 papers) and Experimental Learning in Engineering (3 papers). The work is most often cited by research in Software (301 citations), Information Systems (442 citations), Computer Science Applications (63 citations), Artificial Intelligence (171 citations) and Management Information Systems (35 citations). J.S. Collofello has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Stephen S. Yau, Charles J. Colbourn, Myra B. Cohen, W.B. Mugridge, Peter B. Gibbons, Stephanie Ludi, Justin Buck, Ioana Rus, Duane Merrill and Scott N. Woodfield. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Education, IEEE Software, ACM SIGCSE Bulletin and McGraw-Hill, Inc. eBooks.

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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