Frederick Sayward

3.3k total citations · 1 hit paper
22 papers, 1.7k citations indexed

About

Frederick Sayward is a scholar working on Software, Genetics and Molecular Biology. According to data from OpenAlex, Frederick Sayward has authored 22 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Software, 6 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Frederick Sayward's work include Software Reliability and Analysis Research (5 papers), Electronic Health Records Systems (5 papers) and Software Testing and Debugging Techniques (5 papers). Frederick Sayward is often cited by papers focused on Software Reliability and Analysis Research (5 papers), Electronic Health Records Systems (5 papers) and Software Testing and Debugging Techniques (5 papers). Frederick Sayward collaborates with scholars based in United States. Frederick Sayward's co-authors include Richard A. DeMillo, R.J. Lipton, Timothy A. Budd, Richard J. Lipton, Perry L. Miller, Cynthia Brandt, Daniel Zelterman, Lee Schacter, P. Nadkarni and David W. Fleming and has published in prestigious journals such as Biological Psychiatry, IEEE Transactions on Software Engineering and Computer.

In The Last Decade

Frederick Sayward

21 papers receiving 1.6k citations

Hit Papers

Hints on Test Data Selection: Help for the Practicing Pro... 1978 2026 1994 2010 1978 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frederick Sayward United States 8 1.5k 852 276 218 194 22 1.7k
Boris Beizer United States 8 831 0.6× 548 0.6× 64 0.2× 208 1.0× 242 1.2× 10 1.1k
John A. Clark United Kingdom 17 272 0.2× 393 0.5× 115 0.4× 414 1.9× 467 2.4× 55 1.5k
Hadi Hemmati Canada 20 1.2k 0.8× 1.1k 1.3× 86 0.3× 282 1.3× 478 2.5× 52 1.6k
Robert Merkel Australia 18 926 0.6× 577 0.7× 106 0.4× 164 0.8× 192 1.0× 41 1.1k
Hakjoo Oh South Korea 18 669 0.5× 694 0.8× 479 1.7× 434 2.0× 141 0.7× 63 1.1k
Linhai Song United States 17 586 0.4× 655 0.8× 188 0.7× 240 1.1× 726 3.7× 34 1.2k
Veselin Raychev Switzerland 20 869 0.6× 1.2k 1.5× 550 2.0× 621 2.8× 450 2.3× 34 1.6k
Yu Feng United States 16 391 0.3× 573 0.7× 480 1.7× 368 1.7× 363 1.9× 39 1.0k
Gregor Snelting Germany 21 502 0.3× 970 1.1× 338 1.2× 891 4.1× 368 1.9× 64 1.4k

Countries citing papers authored by Frederick Sayward

Since Specialization
Citations

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

Fields of papers citing papers by Frederick Sayward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frederick Sayward. 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 Frederick Sayward. The network helps show where Frederick Sayward may publish in the future.

Co-authorship network of co-authors of Frederick Sayward

This figure shows the co-authorship network connecting the top 25 collaborators of Frederick Sayward. A scholar is included among the top collaborators of Frederick Sayward 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 Frederick Sayward. Frederick Sayward 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
2.
Bigdeli, Tim B., Ayman H. Fanous, Yuli Li, et al.. (2020). Genome-Wide Association Studies of Schizophrenia and Bipolar Disorder in a Diverse Cohort of US Veterans. Biological Psychiatry. 87(9). S178–S178. 10 indexed citations
3.
Harvey, Philip D., Ning Sun, Qiongshi Lu, et al.. (2019). GENETICS OF COGNITIVE FUNCTION IN SCHIZOPHRENIA AND BIPOLAR DISORDER. European Neuropsychopharmacology. 29. S967–S968. 1 indexed citations
4.
Perlis, Alan J., Frederick Sayward, & Mary Shaw. (2018). Software Metrics: An Analysis and Evaluation. MIT Press eBooks. 47(6). 1069–75. 2 indexed citations
5.
Zuo, Lingjun, Hu Zhang, Frederick Sayward, et al.. (2015). Gene-based and pathway-based genome-wide association study of alcohol dependence.. PubMed. 27(2). 111–8. 5 indexed citations
6.
Miller, Perry L., et al.. (2001). Exploring the Utility of Demographic Data and Vaccination History Data in the Deduplication of Immunization Registry Patient Records. Journal of Biomedical Informatics. 34(1). 37–50. 6 indexed citations
7.
Miller, Perry L., et al.. (2001). Maintaining and Incrementally Revalidating a Computer-Based Clinical Guideline: A Case Study. Journal of Biomedical Informatics. 34(2). 99–111. 7 indexed citations
8.
Miller, Perry L., et al.. (2001). Issues in Computer-Based Decision Support in Public Health Illustrated Using Projects Involving Childhood Immunization. Journal of Public Health Management and Practice. 7(6). 75–86. 4 indexed citations
9.
Miller, Perry L., et al.. (2000). IMM/Scrub: A Domain-Specific Tool for the Deduplication of Vaccination History Records in Childhood Immunization Registries. Computers and Biomedical Research. 33(2). 126–143. 1 indexed citations
10.
Miller, Perry L., et al.. (2000). Informatics issues in the national dissemination of a computer-based clinical guideline: a case study in childhood immunization.. PubMed. 580–4. 4 indexed citations
11.
Miller, Perry L., et al.. (1999). Exploring three approaches for handling incomplete patient histories in a computer-based guideline for childhood immunization.. PubMed. 878–82. 4 indexed citations
12.
Nadkarni, P., Cynthia Brandt, Frederick Sayward, et al.. (1998). Managing Attribute-Value Clinical Trials Data Using the ACT/DB Client-Server Database System. Journal of the American Medical Informatics Association. 5(2). 139–151. 80 indexed citations
13.
Miller, Perry L., et al.. (1998). Tools for Immunization Guideline Knowledge Maintenance. Computers and Biomedical Research. 31(3). 190–208. 9 indexed citations
14.
Miller, Perry L., et al.. (1998). Issues in accommodating national changes and local variation in a computer-based guideline for childhood immunization and in related knowledge maintenance tools.. PubMed. 563–7. 7 indexed citations
15.
Miller, Perry L., et al.. (1997). Combining Tabular, Rule-Based, and Procedural Knowledge in Computer-Based Guidelines for Childhood Immunization. Computers and Biomedical Research. 30(3). 211–231. 18 indexed citations
16.
Miller, Perry L., et al.. (1997). A prototype Web site for immunization knowledge maintenance.. PubMed. 293–7. 5 indexed citations
17.
Miller, Perry L., et al.. (1996). IMM/Serve: a rule-based program for childhood immunization.. PubMed. 184–8. 6 indexed citations
18.
Budd, Timothy A., Richard J. Lipton, Richard A. DeMillo, & Frederick Sayward. (1978). The design of a prototype mutation system for program testing.. 623–629. 59 indexed citations
19.
DeMillo, Richard A., R.J. Lipton, & Frederick Sayward. (1978). Hints on Test Data Selection: Help for the Practicing Programmer. Computer. 11(4). 34–41. 1403 indexed citations breakdown →
20.
Marcotty, Michael & Frederick Sayward. (1977). The Definition Mechanism for Standard PL/I. IEEE Transactions on Software Engineering. SE-3(6). 416–450. 3 indexed citations

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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