Daniel Margo
Impact in
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- Scientific Computing and Data Management
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Caching and Content Delivery
Papers in
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- Scientific Computing and Data Management 2
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- Advanced Data Storage Technologies 2
- Caching and Content Delivery 1
- Distributed and Parallel Computing Systems 1
- Co-authors
- Margo Seltzer (5 shared papers)Peter Macko (3 shared papers)Virendra J. Marathe (1 shared paper)Diana MacLean (1 shared paper)David A. Holland (1 shared paper)Kiran‐Kumar Muniswamy‐Reddy (1 shared paper)Uri Braun (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (1 paper)Digital Access to Scholarship at Harvard (DASH) (Harvard University) (2 papers)USENIX Annual Technical Conference (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Margo
6 papers receiving 299 citations
Peers
Comparison fields: 5 of 26
- Information Systems and Management 112
- Computer Networks and Communications 206
- Information Systems 155
- Computer Vision and Pattern Recognition 141
- Signal Processing 44
Countries citing papers authored by Daniel Margo
This map shows the geographic impact of Daniel Margo'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 Daniel Margo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Margo more than expected).
Fields of papers citing papers by Daniel Margo
This network shows the impact of papers produced by Daniel Margo. 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 Daniel Margo. The network helps show where Daniel Margo may publish in the future.
Co-authors
The 7 scholars most cited alongside Daniel Margo, 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 | Layering in provenance systems | 2009 | 115 |
| 2 | 2015 | 102 | |
| 3 | 2015 | 61 | |
| 4 | Using Provenance to Extract Semantic File Attributes | 2011 | 12 |
| 5 | 2013 | 11 | |
| 6 | The case for browser provenance | 2009 | 10 |
About Daniel Margo
Daniel Margo is a scholar working on Information Systems and Management, Computer Networks and Communications, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 6 papers that have together received 311 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (2 papers), Advanced Data Storage Technologies (2 papers), Graph Theory and Algorithms (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper), Research Data Management Practices (1 paper), Caching and Content Delivery (1 paper), Complex Network Analysis Techniques (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Information Systems and Management (112 citations), Computer Networks and Communications (206 citations), Information Systems (155 citations), Computer Vision and Pattern Recognition (141 citations) and Signal Processing (44 citations). Daniel Margo has collaborated with scholars based in United States. Frequent co-authors include Margo Seltzer, Peter Macko, Virendra J. Marathe, Diana MacLean, David A. Holland, Kiran‐Kumar Muniswamy‐Reddy and Uri Braun. Their work appears in journals such as Proceedings of the VLDB Endowment, Digital Access to Scholarship at Harvard (DASH) (Harvard University) and USENIX Annual Technical Conference.
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.