Tova Milo
Impact in
- Signal Processing top 0.5%
- Data Management and Algorithms
- Computer Networks and Communications top 0.5%
- Advanced Database Systems and Queries
Papers in
-
- Advanced Database Systems and Queries 104
-
- Semantic Web and Ontologies 34
- Data Stream Mining Techniques 23
- Co-authors
- Serge Abiteboul (25 shared papers)Alberto O. Mendelzon (5 shared papers)Haim Kaplan (10 shared papers)Amit Somech (21 shared papers)Daniel Deutch (35 shared papers)Dan Suciu (9 shared papers)Catriel Beeri (14 shared papers)Sophie Cluet (10 shared papers)
- Journals
- Proceedings of the VLDB Endowment (27 papers)Journal of Computer and System Sciences (7 papers)ACM SIGMOD Record (7 papers)The VLDB Journal (6 papers)Theory of Computing Systems (2 papers)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Tova Milo
193 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 99
- Signal Processing 1.2k
- Computer Networks and Communications 2.4k
- Artificial Intelligence 2.3k
- Computer Science Applications 336
- Information Systems and Management 424
Countries citing papers authored by Tova Milo
This map shows the geographic impact of Tova Milo'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 Tova Milo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tova Milo more than expected).
Fields of papers citing papers by Tova Milo
This network shows the impact of papers produced by Tova Milo. 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 Tova Milo. The network helps show where Tova Milo may publish in the future.
Co-authors
The 25 scholars most cited alongside Tova Milo, 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 201 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Using Schema Matching to Simplify Heterogeneous Data Translation | 1998 | 253 |
| 2 | 1997 | 167 | |
| 3 | 2002 | 104 | |
| 4 | 1997 | 98 | |
| 5 | 2000 | 94 | |
| 6 | 2003 | 89 | |
| 7 | 2013 | 89 | |
| 8 | 1995 | 87 | |
| 9 | 2003 | 83 | |
| 10 | 2006 | 81 | |
| 11 | 2011 | 81 | |
| 12 | Querying and Updating the File | 1993 | 78 |
| 13 | 2014 | 78 | |
| 14 | 2001 | 73 | |
| 15 | 2007 | 65 | |
| 16 | 2002 | 59 | |
| 17 | 2020 | 55 | |
| 18 | 2006 | 55 | |
| 19 | 2013 | 53 | |
| 20 | 2002 | 52 |
About Tova Milo
Tova Milo is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Information Systems and Management, having authored 201 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (104 papers), Data Management and Algorithms (61 papers), Semantic Web and Ontologies (34 papers), Scientific Computing and Data Management (28 papers), Data Stream Mining Techniques (23 papers), Mobile Crowdsensing and Crowdsourcing (21 papers), Service-Oriented Architecture and Web Services (19 papers) and Data Quality and Management (19 papers). The work is most often cited by research in Signal Processing (1.2k citations), Computer Networks and Communications (2.4k citations), Artificial Intelligence (2.3k citations), Computer Science Applications (336 citations) and Information Systems and Management (424 citations). Tova Milo has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Serge Abiteboul, Alberto O. Mendelzon, Haim Kaplan, Amit Somech, Daniel Deutch, Dan Suciu, Catriel Beeri, Sophie Cluet, Victor Vianu and Slava Novgorodov. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of Computer and System Sciences, ACM SIGMOD Record, The VLDB Journal and Theory of Computing 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.