Michael Fredericks

590 citations
16 papers · 457 · h-index 10

Impact in

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

Papers in

Michael Fredericks

15 papers receiving 421 citations

Peers

Michael Fredericks
Comparison fields: 5 of 99
  • Software 143
  • Information Systems 210
  • Nephrology 47
  • Pharmacy 15
  • Human-Computer Interaction 14
Replace Wangshu Liu with:
Wangshu Liu China
Michele Bevilacqua Italy
Xiaoyi Zhang China
Jon Friedman United States
R.J.M. Ross United Kingdom
John J. Wiorkowski United States
Shweta Sharma India
Ning Shen China
Bilal Khan Pakistan
Michael Fredericks relative to Wangshu Liu China Wangshu Liu's profile →
Citations per field
00.5×1.5×2.5×
Wangshu Liu · 1×
Citations per year

Countries citing papers authored by Michael Fredericks

Since Specialization
Citations

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

Fields of papers citing papers by Michael Fredericks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Michael Fredericks, 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 Michael Fredericks Line = papers co-authored together Michael Fredericks links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1999184
2 199948
3 197843
4 199037
5 198834
6 199329
7 199624
8 201613
9 197711
10 19779
11 19779
12 19807
13 19804
14
Antibiotic-induced acute renal failure associated with an elevated serum lactic dehydrogenase level of renal origin.
19862
15 19742
16 19781

About Michael Fredericks

Michael Fredericks is a scholar working on Molecular Biology, Surgery, Nephrology, Physiology and Biochemistry, having authored 16 papers that have together received 457 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (3 papers), Diet and metabolism studies (3 papers), Software Testing and Debugging Techniques (2 papers), Software Engineering Research (2 papers), Renal function and acid-base balance (2 papers), Biochemical Acid Research Studies (2 papers), Plant biochemistry and biosynthesis (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Software (143 citations), Information Systems (210 citations), Nephrology (47 citations), Pharmacy (15 citations) and Human-Computer Interaction (14 citations). Michael Fredericks has collaborated with scholars based in United States and Brazil. Frequent co-authors include Guilherme Horta Travassos, Forrest Shull, Victor R. Basili, Robert B. Ramsey, Karen A. Munger, Curtis B. Wilson, Rose C. Collins, John K. Leypoldt, L.W. Henderson and Chris Baylis. Their work appears in journals such as Journal of Neurochemistry, Biochemical Pharmacology, Journal of Neuropathology & Experimental Neurology, Biochemical and Biophysical Research Communications and ACM SIGPLAN Notices.

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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