Tova Milo
About
In The Last Decade
Tova Milo
192 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 101
- Computer Networks and Communications 2.3k
- Artificial Intelligence 2.3k
- Information Systems 1.3k
- Signal Processing 1.2k
- Management Science and Operations Research 532
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-authorship network of co-authors of Tova Milo
This figure shows the co-authorship network connecting the top 25 collaborators of Tova Milo. A scholar is included among the top collaborators of Tova Milo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tova Milo. Tova Milo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | Towards Autonomous, Hands-Free Data Exploration. | 3 |
| 6 | A Model for Fine-Grained Data Citation. | 10 |
| 7 | Managing General and Individual Knowledge in Crowd Mining Applications | 8 |
| 8 | SampleClean: Fast and Reliable Analytics on Dirty Data. | 28 |
| 9 | Enabling privacy in provenance-aware workflow systems | 19 |
| 10 | Querying Future and Past in Business Processes. | 0 |
| 11 | Monitoring business processes with queries | 50 |
| 12 | 81 | |
| 13 | Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems | 14 |
| 14 | 52 | |
| 15 | 73 | |
| 16 | Tools for Data Translation and Integration. | 38 |
| 17 | Using Schema Matching to Simplify Heterogeneous Data Translation | 253 |
| 18 | 19 | |
| 19 | On Genericity and Parametricity. | 2 |
| 20 | Querying and Updating the File | 78 |
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.