Roee Shraga
Impact in
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- Data Quality and Management
- Artificial Intelligence top 10%
- Topic Modeling
- Semantic Web and Ontologies
- Natural Language Processing Techniques
Papers in
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- Semantic Web and Ontologies 11
- Topic Modeling 8
- Machine Learning and Algorithms 3
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- Data Quality and Management 16
- Co-authors
- Avigdor Gal (15 shared papers)Haggai Roitman (8 shared papers)Renée J. Miller (4 shared papers)Guy Feigenblat (4 shared papers)Wolfgang Gatterbauer (2 shared papers)Grace Fan (2 shared papers)Mirek Riedewald (1 shared paper)Matthias Weidlich (3 shared papers)
- Journals
- Proceedings of the VLDB Endowment (3 papers)Information Systems (1 paper)Computer (1 paper)Journal of Data and Information Quality (1 paper)Data & Knowledge Engineering (1 paper)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Roee Shraga
24 papers receiving 164 citations
Peers
Comparison fields: 5 of 26
- Management Science and Operations Research 82
- Artificial Intelligence 117
- Computer Science Applications 18
- Signal Processing 25
- Information Systems 50
Countries citing papers authored by Roee Shraga
This map shows the geographic impact of Roee Shraga'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 Roee Shraga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roee Shraga more than expected).
Fields of papers citing papers by Roee Shraga
This network shows the impact of papers produced by Roee Shraga. 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 Roee Shraga. The network helps show where Roee Shraga may publish in the future.
Co-authors
The 19 scholars most cited alongside Roee Shraga, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 24 | |
| 2 | 2020 | 23 | |
| 3 | 2023 | 21 | |
| 4 | 2022 | 17 | |
| 5 | 2018 | 9 | |
| 6 | 2020 | 8 | |
| 7 | 2019 | 8 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2020 | 2 |
About Roee Shraga
Roee Shraga is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Information Systems and Information Systems and Management, having authored 25 papers that have together received 170 indexed citations. Recurring topics across this work include Data Quality and Management (16 papers), Semantic Web and Ontologies (11 papers), Topic Modeling (8 papers), Advanced Database Systems and Queries (6 papers), Scientific Computing and Data Management (3 papers), Machine Learning and Algorithms (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers) and Business Process Modeling and Analysis (3 papers). The work is most often cited by research in Management Science and Operations Research (82 citations), Artificial Intelligence (117 citations), Computer Science Applications (18 citations), Signal Processing (25 citations) and Information Systems (50 citations). Roee Shraga has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Avigdor Gal, Haggai Roitman, Renée J. Miller, Guy Feigenblat, Wolfgang Gatterbauer, Grace Fan, Mirek Riedewald, Matthias Weidlich, Ofra Amir and Rakefet Ackerman. Their work appears in journals such as Proceedings of the VLDB Endowment, Information Systems, Computer, Journal of Data and Information Quality and Data & Knowledge Engineering.
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.