Daniel Margo
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems and Management top 5%
- Artificial Intelligence
- Co-authors
- Margo SeltzerPeter MackoVirendra J. MaratheUri BraunDavid A. HollandDiana MacLeanKiran‐Kumar Muniswamy‐ReddyElaine Angelino
- Topics
- Scientific Computing and Data Management (5 papers)Research Data Management Practices (3 papers)Graph Theory and Algorithms (3 papers)
- Journals
- Proceedings of the VLDB EndowmentDigital Access to Scholarship at Harvard (DASH) (Harvard University)USENIX Annual Technical Conference
- Partner nations
- United States
In The Last Decade
Daniel Margo
8 papers receiving 259 citations
Peers
Comparison fields: 5 of 24
- Computer Networks and Communications 192
- Information Systems 146
- Computer Vision and Pattern Recognition 125
- Information Systems and Management 94
- Artificial Intelligence 68
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-authorship network of co-authors of Daniel Margo
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Margo. A scholar is included among the top collaborators of Daniel Margo 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 Daniel Margo. Daniel Margo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 83 | |
| 2 | 52 | |
| 3 | 18 | |
| 4 | Local Clustering in Provenance Graphs (Extended Version) | 1 |
| 5 | 8 | |
| 6 | Provenance Integration Requires Reconciliation | 5 |
| 7 | Addressing Underspecified Lineage Queries on Provenance | 0 |
| 8 | Layering in provenance systems | 104 |
| 9 | The case for browser provenance | 10 |
About Daniel Margo
Daniel Margo is a scholar working on Information Systems and Management, Computer Networks and Communications 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), Research Data Management Practices (3 papers) and Graph Theory and Algorithms (3 papers). The work is most often cited by research in Information Systems and Management (94 citations), Computer Networks and Communications (192 citations) and Information Systems (146 citations). Daniel Margo has collaborated with scholars based in United States. Frequent co-authors include Margo Seltzer, Peter Macko, Virendra J. Marathe, Uri Braun, David A. Holland, 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.