D. Nae
Impact in
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Software-Defined Networks and 5G
- Network Traffic and Congestion Control
- Peer-to-Peer Network Technologies
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- Parallel Computing and Optimization Techniques
Papers in
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- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 5
- Peer-to-Peer Network Technologies 1
- Network Traffic and Congestion Control 1
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- Scientific Computing and Data Management 3
- Co-authors
- H. B. Newman (5 shared papers)S. Ravot (4 shared papers)D. Petravick (1 shared paper)Conrad Steenberg (3 shared papers)P. G. Prada Moroni (1 shared paper)Olivier J. F. Martin (1 shared paper)Frank van Lingen (3 shared papers)J. Bunn (1 shared paper)
- Journals
- Computing in Science & Engineering (1 paper)Future Generation Computer Systems (1 paper)CaltechAUTHORS (California Institute of Technology) (1 paper)University of North Texas Digital Library (University of North Texas) (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
D. Nae
4 papers receiving 22 citations
Peers
Comparison fields: 5 of 9
- Computer Networks and Communications 22
- Hardware and Architecture 5
- Information Systems and Management 2
- Information Systems 3
- Philosophy 1
Countries citing papers authored by D. Nae
This map shows the geographic impact of D. Nae'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 D. Nae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Nae more than expected).
Fields of papers citing papers by D. Nae
This network shows the impact of papers produced by D. Nae. 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 D. Nae. The network helps show where D. Nae may publish in the future.
Co-authors
The 14 scholars most cited alongside D. Nae, 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 | 2006 | 12 | |
| 2 | 2005 | 6 | |
| 3 | 2005 | 4 | |
| 4 | 2005 | 1 | |
| 5 | The UltraLight Project: The Network as an Integrated and Managed Resource in Grid Systems for High Energy Physics and Data Intensive Science | 2005 | 0 |
About D. Nae
D. Nae is a scholar working on Computer Networks and Communications, Information Systems and Management, Infectious Diseases, Organic Chemistry and Surgery, having authored 5 papers that have together received 23 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Advanced Data Storage Technologies (5 papers), Scientific Computing and Data Management (3 papers), Peer-to-Peer Network Technologies (1 paper) and Network Traffic and Congestion Control (1 paper). The work is most often cited by research in Computer Networks and Communications (22 citations), Hardware and Architecture (5 citations), Information Systems and Management (2 citations), Information Systems (3 citations) and Philosophy (1 citation). D. Nae has collaborated with scholars based in United States and Switzerland. Frequent co-authors include H. B. Newman, S. Ravot, D. Petravick, Conrad Steenberg, P. G. Prada Moroni, Olivier J. F. Martin, Frank van Lingen, J. Bunn, R. Rechenmacher and M. Crawford. Their work appears in journals such as Computing in Science & Engineering, Future Generation Computer Systems, CaltechAUTHORS (California Institute of Technology), University of North Texas Digital Library (University of North Texas) and CERN Document Server (European Organization for Nuclear Research).
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.