Ella Rabinovich
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Signal Processing
- Computer Vision and Pattern Recognition
- Co-authors
- Shuly WintnerLucia SpeciaShachar MirkinOpher EtzionAvigdor GalOren KurlandNoam OrdanBenjamin Sznajder
- Topics
- Topic Modeling (9 papers)Natural Language Processing Techniques (7 papers)Service-Oriented Architecture and Web Services (6 papers)
- Journals
- Language Resources and EvaluationIBM Systems JournalTransactions of the Association for Computational Linguistics
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Ella Rabinovich
22 papers receiving 208 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 184
- Information Systems 56
- Computer Networks and Communications 53
- Signal Processing 30
- Computer Vision and Pattern Recognition 25
Countries citing papers authored by Ella Rabinovich
This map shows the geographic impact of Ella Rabinovich'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 Ella Rabinovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ella Rabinovich more than expected).
Fields of papers citing papers by Ella Rabinovich
This network shows the impact of papers produced by Ella Rabinovich. 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 Ella Rabinovich. The network helps show where Ella Rabinovich may publish in the future.
Co-authorship network of co-authors of Ella Rabinovich
This figure shows the co-authorship network connecting the top 25 collaborators of Ella Rabinovich. A scholar is included among the top collaborators of Ella Rabinovich 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 Ella Rabinovich. Ella Rabinovich 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 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 8 | |
| 8 | 56 | |
| 9 | A Corpus of Native, Non-native and Translated Texts | 5 |
| 10 | 10 | |
| 11 | 13 | |
| 12 | The Haifa Corpus of Translationese. | 4 |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 14 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 12 | |
| 19 | 3 | |
| 20 | 2 |
About Ella Rabinovich
Ella Rabinovich is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 25 papers that have together received 240 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Service-Oriented Architecture and Web Services (6 papers). The work is most often cited by research in Artificial Intelligence (184 citations), Signal Processing (30 citations) and Information Systems (56 citations). Ella Rabinovich has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Shuly Wintner, Lucia Specia, Shachar Mirkin, Opher Etzion, Avigdor Gal, Oren Kurland, Noam Ordan, Benjamin Sznajder, Sitvanit Ruah and Noam Slonim. Their work appears in journals such as Language Resources and Evaluation, IBM Systems Journal and Transactions of the Association for Computational Linguistics.
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.