Peter A. Covitz

1.1k citations
15 papers · 895 · h-index 13

Impact in

Papers in

    • Fungal and yeast genetics research 4
    • Genomics and Chromatin Dynamics 4
    • DNA Repair Mechanisms 3
    • Biomedical Text Mining and Ontologies 2
    • Bioinformatics and Genomic Networks 1
    • Distributed and Parallel Computing Systems 3

Peter A. Covitz

15 papers receiving 848 citations

Peers

Peter A. Covitz
Comparison fields: 5 of 80
  • Information Systems and Management 203
  • Health Information Management 64
  • Molecular Biology 504
  • Computer Networks and Communications 125
  • Artificial Intelligence 153
Replace Zachary Stephens with:
Zachary Stephens United States
Jacob Köhler Germany
Dagmar Waltemath Germany
Mélanie Courtot United Kingdom
Clément Jonquet France
Sherri de Coronado United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter A. Covitz

Since Specialization
Citations

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

Fields of papers citing papers by Peter A. Covitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter A. Covitz. 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 Peter A. Covitz. The network helps show where Peter A. Covitz may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter A. Covitz, 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 Peter A. Covitz Line = papers co-authored together Peter A. Covitz links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2006150
2 2003121
3 200797
4 200794
5 199890
6 199178
7 199365
8 199455
9
Common data element (CDE) management and deployment in clinical trials.
200343
10 200641
11 199824
12 201315
13
caGrid 1.0: a Grid enterprise architecture for cancer research.
200714
14 20035
15 20033

About Peter A. Covitz

Peter A. Covitz is a scholar working on Molecular Biology, Computer Networks and Communications, Information Systems and Management, Plant Science and Hardware and Architecture, having authored 15 papers that have together received 895 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Genomics and Chromatin Dynamics (4 papers), DNA Repair Mechanisms (3 papers), Scientific Computing and Data Management (3 papers), Distributed and Parallel Computing Systems (3 papers), Biomedical Text Mining and Ontologies (2 papers), Plant nutrient uptake and metabolism (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Information Systems and Management (203 citations), Health Information Management (64 citations), Molecular Biology (504 citations), Computer Networks and Communications (125 citations) and Artificial Intelligence (153 citations). Peter A. Covitz has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Aaron P. Mitchell, Gilberto Fragoso, Sharon R. Long, Lucinda S. Smith, Ira Herskowitz, Ram Chilukuri, Denise Warzel, Sherri de Coronado, Scott Oster and Stephen Langella. Their work appears in journals such as Bioinformatics, Genes & Development, Journal of the American Medical Informatics Association, Bioorganic & Medicinal Chemistry and The Pharmacogenomics 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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