Deborah Bard
- Computer Networks and Communications
- Information Systems and Management top 10%
- Computer Vision and Pattern Recognition
- Hardware and Architecture top 10%
- Artificial Intelligence
- Co-authors
- Tuomas KärnäKristyn MaschhoffShirley HoLei ShaoSiyu HeMichael F. RingenburgJohannes BlaschkeVictor C. S. Lee
- Topics
- Distributed and Parallel Computing Systems (7 papers)Scientific Computing and Data Management (7 papers)Advanced Data Storage Technologies (5 papers)
- Cited by
- Information Systems and ManagementHardware and ArchitectureComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaComputerThe International Journal of High Performance Computing Applications
- Partner nations
- United StatesSpain
In The Last Decade
Deborah Bard
10 papers receiving 134 citations
Peers
Comparison fields: 5 of 35
- Computer Networks and Communications 50
- Information Systems and Management 38
- Computer Vision and Pattern Recognition 37
- Hardware and Architecture 31
- Artificial Intelligence 30
Countries citing papers authored by Deborah Bard
This map shows the geographic impact of Deborah Bard'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 Deborah Bard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah Bard more than expected).
Fields of papers citing papers by Deborah Bard
This network shows the impact of papers produced by Deborah Bard. 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 Deborah Bard. The network helps show where Deborah Bard may publish in the future.
Co-authorship network of co-authors of Deborah Bard
This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Bard. A scholar is included among the top collaborators of Deborah Bard 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 Deborah Bard. Deborah Bard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 5 | |
| 10 | 70 | |
| 11 | 10 |
About Deborah Bard
Deborah Bard is a scholar working on Information Systems and Management, Computer Networks and Communications and Hardware and Architecture, having authored 11 papers that have together received 135 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (7 papers), Scientific Computing and Data Management (7 papers) and Advanced Data Storage Technologies (5 papers). The work is most often cited by research in Information Systems and Management (38 citations), Hardware and Architecture (31 citations) and Computer Networks and Communications (50 citations). Deborah Bard has collaborated with scholars based in United States and Spain. Frequent co-authors include Tuomas Kärnä, Kristyn Maschhoff, Shirley Ho, Lei Shao, Siyu He, Michael F. Ringenburg, Johannes Blaschke, Victor C. S. Lee, Diana Moise and Jason Sewall. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer and The International Journal of High Performance Computing Applications.
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.