Eric E. Sumner

713 citations
11 papers · 512 · h-index 5

Impact in

  • Software top 5%
    • Software Testing and Debugging Techniques
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

Eric E. Sumner

9 papers receiving 458 citations

Peers

Eric E. Sumner
Comparison fields: 5 of 59
  • Software 90
  • Information Systems 322
  • Computer Science Applications 51
  • Computer Vision and Pattern Recognition 188
  • Information Systems and Management 58
Replace Jeffrey Wong with:
Jeffrey Wong United States
Margaret-Anne D. Storey Canada
Corin R. Anderson United States
Raphael Hoffmann United States
Austin Z. Henley United States
Norman Delisle United States
Lucian Voinea Netherlands
Larry Koved United States
A.M. Vans United States
Luca Ponzanelli Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Eric E. Sumner

Since Specialization
Citations

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

Fields of papers citing papers by Eric E. Sumner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric E. Sumner. 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 Eric E. Sumner. The network helps show where Eric E. Sumner may publish in the future.

Co-authors

The 6 scholars most cited alongside Eric E. Sumner, 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 Eric E. Sumner Line = papers co-authored together Eric E. Sumner links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1992447
2 198329
3 198713
4 20056
5 19925
6
A Methodology for Establishing Information Quality Baselines for Complex, Distributed Systems
20054
7 20023
8
Monitoring Data Quality for Very High Volume Transaction Systems.
20062
9 19871
10 19871
11 19831

About Eric E. Sumner

Eric E. Sumner is a scholar working on Information Systems, Computer Networks and Communications, Management Science and Operations Research, Management Information Systems and Artificial Intelligence, having authored 11 papers that have together received 512 indexed citations. Recurring topics across this work include Data Quality and Management (3 papers), Advanced Database Systems and Queries (3 papers), Software Reliability and Analysis Research (2 papers), Big Data and Business Intelligence (2 papers), Data Mining Algorithms and Applications (2 papers), Software Engineering Research (2 papers), Cloud Computing and Resource Management (1 paper) and Information and Cyber Security (1 paper). The work is most often cited by research in Software (90 citations), Information Systems (322 citations), Computer Science Applications (51 citations), Computer Vision and Pattern Recognition (188 citations) and Information Systems and Management (58 citations). Eric E. Sumner has collaborated with scholars based in United States and Canada. Frequent co-authors include Bernard Budiansky, Richard J. O’Connell, Robert L. Grossman, P. Weinberger, Tao Zhang and S. Vejcik. Their work appears in journals such as IEEE Network, Journal of Geophysical Research Atmospheres, IEEE Transactions on Software Engineering, Bell Labs Technical Journal and Bell System Technical Journal.

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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