Elizabeth Shoop
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Teaching and Learning Programming
Papers in
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- Parallel Computing and Optimization Techniques 11
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- Teaching and Learning Programming 5
- Co-authors
- Richard A. BrownErnest F. RetzelJohn V. CarlisJoel C. AdamsJohn RiedlMalcolm M. CampbellRoss WhettenRonald R. Sederoff
- Journals
- Bioinformatics (4 papers)Journal of Parallel and Distributed Computing (1 paper)Virology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Knowledge Discovery and Data Mining (1 paper)
- Partner nations
- United StatesPhilippinesGermany
In The Last Decade
Elizabeth Shoop
40 papers receiving 598 citations
Peers
Comparison fields: 5 of 82
- Hardware and Architecture 107
- Computer Science Applications 62
- Virology 36
- Computer Networks and Communications 166
- Information Systems and Management 35
Countries citing papers authored by Elizabeth Shoop
This map shows the geographic impact of Elizabeth Shoop'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 Elizabeth Shoop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth Shoop more than expected).
Fields of papers citing papers by Elizabeth Shoop
This network shows the impact of papers produced by Elizabeth Shoop. 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 Elizabeth Shoop. The network helps show where Elizabeth Shoop may publish in the future.
Co-authors
The 25 scholars most cited alongside Elizabeth Shoop, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 0 | |
| 5 | 2020 | 1 | |
| 6 | 2018 | 22 | |
| 7 | 2016 | 0 | |
| 8 | 2016 | 9 | |
| 9 | 2016 | 3 | |
| 10 | Teaching shared memory parallel concepts with OpenMP | 2014 | 1 |
| 11 | 2013 | 4 | |
| 12 | 2003 | 8 | |
| 13 | 2003 | 1 | |
| 14 | 2002 | 1 | |
| 15 | 2002 | 7 | |
| 16 | 2001 | 17 | |
| 17 | A Novel Visualization Method for Biological Sequence Similarity Reports | 2000 | 1 |
| 18 | Blurring the distinction between command and data in scientific KDD | 1998 | 3 |
| 19 | 1998 | 255 | |
| 20 | 1991 | 57 |
About Elizabeth Shoop
Elizabeth Shoop is a scholar working on Hardware and Architecture, Computer Science Applications, Computer Networks and Communications, Information Systems and Management and Information Systems, having authored 46 papers that have together received 627 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (21 papers), Cloud Computing and Resource Management (15 papers), Parallel Computing and Optimization Techniques (11 papers), Genomics and Phylogenetic Studies (8 papers), Scientific Computing and Data Management (7 papers), Machine Learning in Bioinformatics (5 papers), Teaching and Learning Programming (5 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Hardware and Architecture (107 citations), Computer Science Applications (62 citations), Virology (36 citations), Computer Networks and Communications (166 citations) and Information Systems and Management (35 citations). Elizabeth Shoop has collaborated with scholars based in United States, Philippines and Germany. Frequent co-authors include Richard A. Brown, Ernest F. Retzel, John V. Carlis, Joel C. Adams, John Riedl, Malcolm M. Campbell, Ross Whetten, Ronald R. Sederoff, Isabel Allona and Suzanne J. Matthews. Their work appears in journals such as Bioinformatics, Journal of Parallel and Distributed Computing, Virology, Proceedings of the National Academy of Sciences and Knowledge Discovery and Data Mining.
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.