Marc Friedman
Impact in
- Signal Processing top 1%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
Papers in
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- Advanced Database Systems and Queries 15
- Distributed systems and fault tolerance 4
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- Cloud Computing and Resource Management 6
- Web Data Mining and Analysis 3
- Data Mining Algorithms and Applications 2
- Co-authors
- Alon Y. Levy (6 shared papers)Daniel S. Weld (4 shared papers)Daniela Florescu (4 shared papers)Zachary G. Ives (4 shared papers)Todd Millstein (3 shared papers)Daniel S. Weld (2 shared papers)Alekh Jindal (6 shared papers)David Usher (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (6 papers)ACM SIGMOD Record (1 paper)Journal of Computer and System Sciences (1 paper)International Joint Conference on Artificial Intelligence (1 paper)Proceedings of the 2022 International Conference on Management of Data (1 paper)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Marc Friedman
21 papers receiving 886 citations
Peers
Comparison fields: 5 of 53
- Signal Processing 535
- Computer Networks and Communications 820
- Information Systems 332
- Artificial Intelligence 484
- Information Systems and Management 60
Countries citing papers authored by Marc Friedman
This map shows the geographic impact of Marc Friedman'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 Marc Friedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Friedman more than expected).
Fields of papers citing papers by Marc Friedman
This network shows the impact of papers produced by Marc Friedman. 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 Marc Friedman. The network helps show where Marc Friedman may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Friedman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 309 | |
| 2 | 1999 | 160 | |
| 3 | Navigational plans for data integration | 1999 | 157 |
| 4 | 2008 | 45 | |
| 5 | An adaptive query execution engine for data integration | 1999 | 41 |
| 6 | 2000 | 40 | |
| 7 | Efficiently Executing Information-Gathering Plans. | 1997 | 39 |
| 8 | Adaptive Query Processing for Internet Applications | 2000 | 38 |
| 9 | 2018 | 38 | |
| 10 | 2021 | 28 | |
| 11 | 2003 | 25 | |
| 12 | 2007 | 18 | |
| 13 | 2022 | 15 | |
| 14 | 2008 | 14 | |
| 15 | 2019 | 12 | |
| 16 | 2018 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2021 | 6 | |
| 19 | Least-commitment action selection | 1996 | 5 |
| 20 | 2021 | 2 |
About Marc Friedman
Marc Friedman is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (15 papers), Data Management and Algorithms (11 papers), Cloud Computing and Resource Management (6 papers), Distributed systems and fault tolerance (4 papers), Web Data Mining and Analysis (3 papers), Scientific Computing and Data Management (3 papers), Graph Theory and Algorithms (3 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Signal Processing (535 citations), Computer Networks and Communications (820 citations), Information Systems (332 citations), Artificial Intelligence (484 citations) and Information Systems and Management (60 citations). Marc Friedman has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Alon Y. Levy, Daniel S. Weld, Daniela Florescu, Zachary G. Ives, Todd Millstein, Daniel S. Weld, Alekh Jindal, David Usher, Michael Rys and Yi Fang. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record, Journal of Computer and System Sciences, International Joint Conference on Artificial Intelligence and Proceedings of the 2022 International Conference on Management of Data.
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.