Robert Ikeda

432 citations
15 papers · 278 indexed · h-index 9

Impact in

Papers in

Journals
Proceedings of the VLDB Endowment (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) (3 papers)Proceedings - International Conference on Data Engineering (1 paper)IEEE Data(base) Engineering Bulletin (1 paper)
Partner nations
United StatesChina

In The Last Decade

Robert Ikeda

15 papers receiving 258 citations

Peers

Robert Ikeda
Comparison fields: 5 of 25
  • Information Systems and Management 200
  • Computer Networks and Communications 198
  • Information Systems 153
  • Management Science and Operations Research 58
  • Signal Processing 25
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Citations per field
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Citations per year

Countries citing papers authored by Robert Ikeda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 8 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.

Border = papers with Robert Ikeda Line = papers co-authored together Robert Ikeda links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Provenance for Generalized Map and Reduce Workflows
201174
2 201150
3 201036
4 201025
5 201218
6 201116
7 201315
8
Data Lineage: A Survey
200911
9 20099
10 20088
11
Panda: A System for Provenance and Data.
20107
12
Social Systems: Can we Do More Than Just Poke Friends?
20094
13
Outerjoins in Uncertain Databases.
20092
14
Trio-ER: The Trio System as a Workbench for Entity-Resolution
20092
15 20081

About Robert Ikeda

Robert Ikeda is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Artificial Intelligence and Management Science and Operations Research, having authored 15 papers that have together received 278 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (8 papers), Research Data Management Practices (7 papers), Distributed and Parallel Computing Systems (6 papers), Semantic Web and Ontologies (4 papers), Data Quality and Management (4 papers), Advanced Database Systems and Queries (4 papers), Data Management and Algorithms (3 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Information Systems and Management (200 citations), Computer Networks and Communications (198 citations), Information Systems (153 citations), Management Science and Operations Research (58 citations) and Signal Processing (25 citations). Robert Ikeda has collaborated with scholars based in United States and China. Frequent co-authors include Jennifer Widom, Raghotham Murthy, Semih Salihoğlu, Akash Das Sarma, Héctor García-Molina, Georgia Koutrika, Parag Agrawal and Hyun Jung Park. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology), 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.

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