Sylvia B. Sheppard

953 citations
27 papers · 633 indexed · h-index 8
Topics
Software Engineering Research (17 papers)Software Engineering Techniques and Practices (11 papers)Software Reliability and Analysis Research (7 papers)

In The Last Decade

Sylvia B. Sheppard

24 papers receiving 538 citations

Peers

Sylvia B. Sheppard
Comparison fields: 5 of 62
  • Information Systems 476
  • Software 279
  • Artificial Intelligence 194
  • Computer Science Applications 146
  • Developmental and Educational Psychology 91
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Countries citing papers authored by Sylvia B. Sheppard

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia B. Sheppard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sylvia B. Sheppard. 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 Sylvia B. Sheppard. The network helps show where Sylvia B. Sheppard may publish in the future.

Co-authorship network of co-authors of Sylvia B. Sheppard

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia B. Sheppard. A scholar is included among the top collaborators of Sylvia B. Sheppard 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 Sylvia B. Sheppard. Sylvia B. Sheppard 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
1 7
2 4
3
A Methodology for Modeling Multi-Position EV and IV Tasks for Space Station.
0
4
AERA 2 Operations Concept
2
5 2
6
An empirical evaluation of software documentation formats
5
7 1
8 4
9 6
10 4
11 30
12
The Effects of the Symbology and Spatial Arrangement of Software Specifications in a Debugging Task.
1
13
Third Time Charm: Stronger Replication of the Ability of Software Complexity Metrics to Predict Programmer Performance.
9
14
Factors Affecting Programmer Performance in a Debugging Task.
3
15 82
16
Identification and Validation of Quantitative Measures of the Psychological Complexity of Software.
1
17 203
18 11
19
Experimental Evaluation of On-Line Program Construction.
7
20
Predicting Software Comprehensibility.
2

About Sylvia B. Sheppard

Sylvia B. Sheppard is a scholar working on Software, Information Systems and Computer Science Applications, having authored 27 papers that have together received 633 indexed citations. Recurring topics across this work include Software Engineering Research (17 papers), Software Engineering Techniques and Practices (11 papers) and Software Reliability and Analysis Research (7 papers). The work is most often cited by research in Software (279 citations), Computer Science Applications (146 citations) and Information Systems (476 citations). Sylvia B. Sheppard has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Phil Milliman, Bill Curtis, Elliot Soloway, Gary M. Olson, Tom Love, Bruce Curtis, John Bailey, Deborah A. Boehm‐Davis, Linda Rosenberg and Martha R. Szczur. Their work appears in journals such as IEEE Transactions on Software Engineering, Journal of Systems and Software and ACM Transactions on Information Systems.

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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