Robert B. Grady

1.3k citations
9 papers · 834 · h-index 9

Impact in

  • Software top 1%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

    • Software Engineering Techniques and Practices 8
    • Software Engineering Research 7
    • Software Reliability and Analysis Research 4
    • Software Testing and Debugging Techniques 1
Journals
IEEE Software (3 papers)Computer (1 paper)Communications of the ACM (1 paper)Medical Entomology and Zoology (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
Partner nations
United States

In The Last Decade

Robert B. Grady

9 papers receiving 651 citations

Peers

Robert B. Grady
Comparison fields: 5 of 54
  • Software 414
  • Information Systems 707
  • Management Information Systems 117
  • Computer Science Applications 58
  • Artificial Intelligence 182
Replace Stephen H. Kan with:
Stephen H. Kan United States
Carma McClure United States
Boehm United States
James A. McCall United States
Brian Berenbach United States
A.M. Davis United States
Kevin Ryan Ireland
D. Ross Jeffery Australia
Johan Natt och Dag Sweden
Ho‐Won Jung South Korea
Robert B. Grady relative to Stephen H. Kan United States Stephen H. Kan's profile →
Citations per field
00.5×
Stephen H. Kan · 1×
Citations per year

Countries citing papers authored by Robert B. Grady

Since Specialization
Citations

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

Fields of papers citing papers by Robert B. Grady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

9 of 9 papers shown
#Work
1
Practical Software Metrics for Project Management and Process Improvement
1992283
2
Software Metrics: Establishing a Company-Wide Program
1987264
3
Successful Software Process Improvement
199783
4 199464
5 199442
6 198738
7 199327
8
Software Failure Analysis for High-Return Process Improvement Decisions
199625
9 19908

About Robert B. Grady

Robert B. Grady is a scholar working on Information Systems, Software, Artificial Intelligence, Information Systems and Management and Infectious Diseases, having authored 9 papers that have together received 834 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (8 papers), Software Engineering Research (7 papers), Software Reliability and Analysis Research (4 papers), Advanced Software Engineering Methodologies (2 papers), Scientific Computing and Data Management (1 paper) and Software Testing and Debugging Techniques (1 paper). The work is most often cited by research in Software (414 citations), Information Systems (707 citations), Management Information Systems (117 citations), Computer Science Applications (58 citations) and Artificial Intelligence (182 citations). Robert B. Grady has collaborated with scholars based in United States. Their work appears in journals such as IEEE Software, Computer, Communications of the ACM, Medical Entomology and Zoology and CERN Document Server (European Organization for Nuclear Research).

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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