Roee Shraga
Impact in
-
- Data Quality and Management
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Topic Modeling
Papers in
-
- Semantic Web and Ontologies 14
- Topic Modeling 9
- Machine Learning and Algorithms 3
-
- Data Quality and Management 22
- Co-authors
- Avigdor Gal (19 shared papers)Haggai Roitman (8 shared papers)Renée J. Miller (4 shared papers)Wolfgang Gatterbauer (2 shared papers)Guy Feigenblat (4 shared papers)Rakefet Ackerman (2 shared papers)Tomer Sagi (2 shared papers)Grace Fan (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (3 papers)Computer (1 paper)Building and Environment (1 paper)Data & Knowledge Engineering (1 paper)Information Systems (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Roee Shraga
31 papers receiving 248 citations
Peers
Comparison fields: 5 of 33
- Management Science and Operations Research 128
- Artificial Intelligence 170
- Management Information Systems 38
- Computer Science Applications 23
- Information Systems 82
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 25 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 27 | |
| 2 | 2023 | 27 | |
| 3 | 2020 | 26 | |
| 4 | 2022 | 23 | |
| 5 | 2017 | 13 | |
| 6 | 2019 | 12 | |
| 7 | 2018 | 11 | |
| 8 | 2019 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2018 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2019 | 5 |
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 33 papers that have together received 254 indexed citations. Recurring topics across this work include Data Quality and Management (22 papers), Semantic Web and Ontologies (14 papers), Advanced Database Systems and Queries (10 papers), Topic Modeling (9 papers), Business Process Modeling and Analysis (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Web Data Mining and Analysis (3 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Management Science and Operations Research (128 citations), Artificial Intelligence (170 citations), Management Information Systems (38 citations), Computer Science Applications (23 citations) and Information Systems (82 citations). Roee Shraga has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Avigdor Gal, Haggai Roitman, Renée J. Miller, Wolfgang Gatterbauer, Guy Feigenblat, Rakefet Ackerman, Tomer Sagi, Grace Fan, Mirek Riedewald and Christian Bizer. Their work appears in journals such as Proceedings of the VLDB Endowment, Computer, Building and Environment, Data & Knowledge Engineering and Information Systems.
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.