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 5
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- Advanced Data Storage Technologies 2
- Distributed and Parallel Computing Systems 2
- Distributed systems and fault tolerance 1
- Co-authors
- Margo Seltzer (8 shared papers)Peter Macko (6 shared papers)Virendra J. Marathe (1 shared paper)David A. Holland (2 shared papers)Uri Braun (2 shared papers)Diana MacLean (1 shared paper)Kiran‐Kumar Muniswamy‐Reddy (1 shared paper)Elaine Angelino (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (1 paper)Digital Access to Scholarship at Harvard (DASH) (Harvard University) (3 papers)USENIX Annual Technical Conference (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Margo
8 papers receiving 259 citations
Peers
Comparison fields: 5 of 24
- Information Systems and Management 94
- Computer Networks and Communications 192
- Information Systems 146
- Computer Vision and Pattern Recognition 125
- Signal Processing 41
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 8 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 | 104 |
| 2 | 2015 | 83 | |
| 3 | 2015 | 52 | |
| 4 | 2013 | 18 | |
| 5 | The case for browser provenance | 2009 | 10 |
| 6 | 2013 | 8 | |
| 7 | Provenance Integration Requires Reconciliation | 2011 | 5 |
| 8 | Local Clustering in Provenance Graphs (Extended Version) | 2013 | 1 |
| 9 | Addressing Underspecified Lineage Queries on Provenance | 2011 | 0 |
About Daniel Margo
Daniel Margo is a scholar working on Information Systems and Management, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 9 papers that have together received 281 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (5 papers), Graph Theory and Algorithms (3 papers), Research Data Management Practices (3 papers), Advanced Data Storage Technologies (2 papers), Complex Network Analysis Techniques (2 papers), Distributed and Parallel Computing Systems (2 papers), Distributed systems and fault tolerance (1 paper) and Advanced Graph Neural Networks (1 paper). The work is most often cited by research in Information Systems and Management (94 citations), Computer Networks and Communications (192 citations), Information Systems (146 citations), Computer Vision and Pattern Recognition (125 citations) and Signal Processing (41 citations). Daniel Margo has collaborated with scholars based in United States. Frequent co-authors include Margo Seltzer, Peter Macko, Virendra J. Marathe, David A. Holland, Uri Braun, Diana MacLean, Kiran‐Kumar Muniswamy‐Reddy and Elaine Angelino. 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.