Peter A. Covitz

1.1k citations
15 papers · 810 indexed · h-index 13

Impact in

Papers in

Peter A. Covitz

15 papers receiving 771 citations

Peers

Peter A. Covitz
Comparison fields: 5 of 82
  • Information Systems and Management 219
  • Health Information Management 63
  • Molecular Biology 529
  • Artificial Intelligence 174
  • Computer Networks and Communications 114
Replace Zachary Stephens with:
Zachary Stephens United States
Daniel Schober Germany
Dagmar Waltemath Germany
Jacob Köhler Germany
Heinrich Herre Germany
Sherri de Coronado United States
Ralf Hofestädt Germany
Clément Jonquet France
Victor Felix United States
Paolo Romano Italy
Peter A. Covitz relative to Zachary Stephens United States Zachary Stephens's profile →
Citations per field
00.5×2.9×
Zachary Stephens · 1×
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 201315
2 200785
3
caGrid 1.0: a Grid enterprise architecture for cancer research.
200713
4 200780
5 200640
6 2006130
7 2003110
8 20033
9 20034
10
Common data element (CDE) management and deployment in clinical trials.
200340
11 199823
12 199874
13 199454
14 199364
15 199175

About Peter A. Covitz

Peter A. Covitz is a scholar working on Information Systems and Management, Hardware and Architecture, Health Information Management, Cancer Research and Computer Networks and Communications, having authored 15 papers that have together received 810 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (6 papers), Biomedical Text Mining and Ontologies (4 papers), Fungal and yeast genetics research (4 papers), Genomics and Chromatin Dynamics (4 papers), DNA Repair Mechanisms (3 papers), Parallel Computing and Optimization Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers) and Phytoplasmas and Hemiptera pathogens (1 paper). The work is most often cited by research in Information Systems and Management (219 citations), Health Information Management (63 citations), Molecular Biology (529 citations), Artificial Intelligence (174 citations) and Computer Networks and Communications (114 citations). Peter A. Covitz has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Aaron P. Mitchell, Gilberto Fragoso, Ira Herskowitz, Sharon R. Long, Lucinda S. Smith, Ram Chilukuri, Denise Warzel, Sherri de Coronado, Stephen Langella and Tahsin Kurç. Their work appears in journals such as Genes & Development, Bioinformatics, PLANT PHYSIOLOGY, Bioorganic & Medicinal Chemistry and Genetics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026