Einat Minkov

1.8k citations
47 papers · 1.2k indexed · h-index 19

Einat Minkov

46 papers receiving 1.2k citations

Peers

Einat Minkov
Comparison fields: 5 of 90
  • Transportation 203
  • Artificial Intelligence 575
  • Computer Science Applications 95
  • Signal Processing 155
  • Information Systems 281
Replace Mudhakar Srivatsa with:
Mudhakar Srivatsa United States
Wen-Chih Peng Taiwan
Hongbo Deng China
Koustuv Dasgupta India
Jingbo Shang United States
Alexander Artikis Greece
Yong Ge United States
Neil Y. Yen Japan
Daniel Zhang United States
Bolong Zheng China
Einat Minkov relative to Mudhakar Srivatsa United States Mudhakar Srivatsa's profile →
Citations per field
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Mudhakar Srivatsa · 1×
Citations per year

Countries citing papers authored by Einat Minkov

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Einat Minkov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Einat Minkov Line = papers co-authored together Einat Minkov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20203
4 20191
5 20181
6 20181
7 20175
8 201721
9 20154
10 201521
11
The Efficacy of Mining Social Media Data for Transport Policy and Practice
20143
12 201410
13 20137
14
Graph Based Similarity Measures for Synonym Extraction from Parsed Text
201213
15
Discriminative Learning for Joint Template Filling
20123
16
Activity-centred Search in Email.
20088
17 200828
18
Generating Complex Morphology for Machine Translation
200755
19
An Email and Meeting Assistant using Graph Walks
200611
20 200621

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), Advanced Graph Neural Networks (9 papers), Complex Network Analysis Techniques (7 papers), Recommender Systems and Techniques (7 papers), Web Data Mining and Analysis (6 papers), Semantic Web and Ontologies (5 papers) and Data Quality and Management (5 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.

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.

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