Natalia Vanetik
- Information Systems top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Ehud GudesSolomon Eyal ShimonyMarina LitvakMark LastMichael LevittChen KeasarRachel KolodnyChen Yanover
- Topics
- Topic Modeling (17 papers)Natural Language Processing Techniques (13 papers)Advanced Text Analysis Techniques (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- IsraelUnited States
In The Last Decade
Natalia Vanetik
32 papers receiving 305 citations
Peers
Comparison fields: 5 of 46
- Information Systems 162
- Artificial Intelligence 152
- Signal Processing 105
- Computer Vision and Pattern Recognition 88
- Computational Theory and Mathematics 58
Countries citing papers authored by Natalia Vanetik
This map shows the geographic impact of Natalia Vanetik'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 Natalia Vanetik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Vanetik more than expected).
Fields of papers citing papers by Natalia Vanetik
This network shows the impact of papers produced by Natalia Vanetik. 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 Natalia Vanetik. The network helps show where Natalia Vanetik may publish in the future.
Co-authorship network of co-authors of Natalia Vanetik
This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Vanetik. A scholar is included among the top collaborators of Natalia Vanetik 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 Natalia Vanetik. Natalia Vanetik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 21 | |
| 15 | What’s up on Twitter? Catch up with TWIST! | 4 |
| 16 | 12 | |
| 17 | Mining the Gaps: Towards Polynomial Summarization | 5 |
| 18 | 15 | |
| 19 | 32 | |
| 20 | 12 |
About Natalia Vanetik
Natalia Vanetik is a scholar working on Computational Mathematics, Artificial Intelligence and Signal Processing, having authored 40 papers that have together received 331 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (13 papers) and Advanced Text Analysis Techniques (10 papers). The work is most often cited by research in Signal Processing (105 citations), Information Systems (162 citations) and Artificial Intelligence (152 citations). Natalia Vanetik has collaborated with scholars based in Israel and United States. Frequent co-authors include Ehud Gudes, Solomon Eyal Shimony, Marina Litvak, Mark Last, Michael Levitt, Chen Keasar, Rachel Kolodny, Chen Yanover, Onur Savas and Lei Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.