Einat Minkov
- Artificial Intelligence top 2%
- Information Systems top 2%
- Electrical and Electronic Engineering
- Transportation top 2%
- Signal Processing top 5%
- Co-authors
- William W. CohenTsvi KuflikJonathan LedlieSusan Grant‐MullerAyelet Gal‐TzurSilvio NoceraSeth TellerRichard C. Wang
- Topics
- Topic Modeling (25 papers)Natural Language Processing Techniques (13 papers)Advanced Graph Neural Networks (9 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Einat Minkov
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 575
- Information Systems 281
- Electrical and Electronic Engineering 253
- Transportation 203
- Signal Processing 155
Countries citing papers authored by Einat Minkov
This map shows the geographic impact of Einat Minkov'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 Einat Minkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Einat Minkov more than expected).
Fields of papers citing papers by Einat Minkov
This network shows the impact of papers produced by Einat Minkov. 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 Einat Minkov. The network helps show where Einat Minkov may publish in the future.
Co-authorship network of co-authors of Einat Minkov
This figure shows the co-authorship network connecting the top 25 collaborators of Einat Minkov. A scholar is included among the top collaborators of Einat Minkov 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 Einat Minkov. Einat Minkov 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 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 21 | |
| 9 | 4 | |
| 10 | 21 | |
| 11 | The Efficacy of Mining Social Media Data for Transport Policy and Practice | 3 |
| 12 | 10 | |
| 13 | 7 | |
| 14 | Graph Based Similarity Measures for Synonym Extraction from Parsed Text | 13 |
| 15 | Discriminative Learning for Joint Template Filling | 3 |
| 16 | Activity-centred Search in Email. | 8 |
| 17 | 28 | |
| 18 | Generating Complex Morphology for Machine Translation | 55 |
| 19 | An Email and Meeting Assistant using Graph Walks | 11 |
| 20 | 21 |
About Einat Minkov
Einat Minkov is a scholar working on Artificial Intelligence, Communication and Information Systems, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Natural Language Processing Techniques (13 papers) and Advanced Graph Neural Networks (9 papers). The work is most often cited by research in Transportation (203 citations), Artificial Intelligence (575 citations) and Computer Science Applications (95 citations). Einat Minkov has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include William W. Cohen, Tsvi Kuflik, Jonathan Ledlie, Susan Grant‐Muller, Ayelet Gal‐Tzur, Silvio Nocera, Seth Teller, Richard C. Wang, Andrew Y. Ng and Dorothy Curtis. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and BMC Bioinformatics.
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.