Robert Ikeda
Impact in
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- Scientific Computing and Data Management
- Big Data Technologies and Applications
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- Advanced Database Systems and Queries
Papers in
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- Scientific Computing and Data Management 7
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- Advanced Database Systems and Queries 6
- Co-authors
- Jennifer Widom (10 shared papers)Raghotham Murthy (1 shared paper)Semih Salihoğlu (2 shared papers)A.D.N. Sarma (1 shared paper)Georgia Koutrika (2 shared papers)Héctor García-Molina (3 shared papers)Parag Agrawal (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)Proceedings of the VLDB Endowment (1 paper)ACM Conference on Recommender Systems (RecSys) (1 paper)Proceedings - International Conference on Data Engineering (4 papers)IEEE Data(base) Engineering Bulletin (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Robert Ikeda
13 papers receiving 300 citations
Peers
Comparison fields: 5 of 21
- Information Systems and Management 142
- Computer Networks and Communications 118
- Information Systems 115
- Software 23
- Signal Processing 16
Countries citing papers authored by Robert Ikeda
This map shows the geographic impact of Robert Ikeda'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 Robert Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Ikeda more than expected).
Fields of papers citing papers by Robert Ikeda
This network shows the impact of papers produced by Robert Ikeda. 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 Robert Ikeda. The network helps show where Robert Ikeda may publish in the future.
Co-authors
The 7 scholars most cited alongside Robert Ikeda, 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 | Provenance for Generalized Map and Reduce Workflows | 2011 | 79 |
| 2 | 2011 | 63 | |
| 3 | 2010 | 39 | |
| 4 | 2010 | 32 | |
| 5 | 2012 | 22 | |
| 6 | 2011 | 19 | |
| 7 | 2013 | 19 | |
| 8 | 2008 | 14 | |
| 9 | Data Lineage: A Survey | 2009 | 12 |
| 10 | 2009 | 9 | |
| 11 | Trio-ER: The Trio System as a Workbench for Entity-Resolution | 2009 | 3 |
| 12 | Outerjoins in Uncertain Databases. | 2009 | 2 |
| 13 | 2008 | 1 |
About Robert Ikeda
Robert Ikeda is a scholar working on Information Systems and Management, Computer Networks and Communications, Information Systems, Signal Processing and Management Science and Operations Research, having authored 13 papers that have together received 314 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (7 papers), Advanced Database Systems and Queries (6 papers), Recommender Systems and Techniques (2 papers), Cloud Computing and Resource Management (2 papers), Data Quality and Management (2 papers), Data Management and Algorithms (2 papers), Research Data Management Practices (1 paper) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Information Systems and Management (142 citations), Computer Networks and Communications (118 citations), Information Systems (115 citations), Software (23 citations) and Signal Processing (16 citations). Robert Ikeda has collaborated with scholars based in United States and China. Frequent co-authors include Jennifer Widom, Raghotham Murthy, Semih Salihoğlu, A.D.N. Sarma, Georgia Koutrika, Héctor García-Molina and Parag Agrawal. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, ACM Conference on Recommender Systems (RecSys), Proceedings - International Conference on Data Engineering and IEEE Data(base) Engineering Bulletin.
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.