Nir Ofek

536 citations
24 papers · 432 · h-index 10

Impact in

    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques
    • Imbalanced Data Classification Techniques
    • Topic Modeling
    • Text and Document Classification Technologies
    • Anomaly Detection Techniques and Applications

Papers in

Nir Ofek

23 papers receiving 415 citations

Peers

Nir Ofek
Comparison fields: 5 of 78
  • Artificial Intelligence 317
  • Health Information Management 21
  • Information Systems 66
  • Communication 16
  • Accounting 17
Replace Syed Tanzeel Rabani with:
Syed Tanzeel Rabani India
Rosario Catelli Italy
Maha Al-Yahya Saudi Arabia
Jiahua Du Australia
Tomoko Ohkuma Japan
Maria Skeppstedt Sweden
Abdallah Yousif China
Jianfeng Chi United States
Harsh Khatter India
Bruno Pouliquen Italy
Nir Ofek relative to Syed Tanzeel Rabani India Syed Tanzeel Rabani's profile →
Citations per field
00.5×8.5×
Syed Tanzeel Rabani · 1×
Citations per year

Countries citing papers authored by Nir Ofek

Since Specialization
Citations

This map shows the geographic impact of Nir Ofek'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 Nir Ofek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Ofek more than expected).

Fields of papers citing papers by Nir Ofek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nir Ofek. 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 Nir Ofek. The network helps show where Nir Ofek may publish in the future.

Co-authors

The 25 scholars most cited alongside Nir Ofek, 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 Nir Ofek Line = papers co-authored together Nir Ofek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017114
2 201383
3 201561
4 201634
5 201424
6 201315
7 201113
8 200711
9 201410
10 20159
11 20159
12 20128
13 20156
14 20146
15 20165
16 20155
17 20144
18 20134
19 20143
20 20183

About Nir Ofek

Nir Ofek is a scholar working on Artificial Intelligence, Computer Networks and Communications, Social Psychology, Information Systems and Communication, having authored 24 papers that have together received 432 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Sentiment Analysis and Opinion Mining (9 papers), Advanced Text Analysis Techniques (6 papers), Mental Health via Writing (3 papers), Anomaly Detection Techniques and Applications (3 papers), Imbalanced Data Classification Techniques (3 papers), Wikis in Education and Collaboration (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (317 citations), Health Information Management (21 citations), Information Systems (66 citations), Communication (16 citations) and Accounting (17 citations). Nir Ofek has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Lior Rokach, Asaf Shabtai, Gilad Katz, Roni Stern, Bracha Shapira, Prasenjit Mitra, Soujanya Poria, Amir Hussain, Kenneth M. Portier and J. Yen. Their work appears in journals such as Neurocomputing, Knowledge-Based Systems, Tourism and Hospitality Research, JNCI Monographs and Journal of the Association for Information Science and Technology.

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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