Orith Ronen

436 citations
27 papers · 982 · h-index 13

Impact in

Papers in

    • Speech Recognition and Synthesis 11
    • Sentiment Analysis and Opinion Mining 6
    • Topic Modeling 4
    • Multi-Agent Systems and Negotiation 3
    • Biometric Identification and Security 1

Orith Ronen

27 papers receiving 907 citations

Peers

Orith Ronen
Comparison fields: 5 of 77
  • Psychiatry and Mental health 274
  • Artificial Intelligence 485
  • Signal Processing 64
  • Experimental and Cognitive Psychology 119
  • Health Informatics 10
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Citations per year

Countries citing papers authored by Orith Ronen

Since Specialization
Citations

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

Fields of papers citing papers by Orith Ronen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015303
2 2002121
3 2021110
4 2000104
5 201367
6 199554
7 201345
8 199739
9 201425
10 202021
11 201915
12 201913
13 202313
14
LEARNING SENTIMENT COMPOSITION FROM SENTIMENT LEXICONS
201810
15 20218
16 20167
17 20135
18 20145
19 20225
20 20113

About Orith Ronen

Orith Ronen is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Psychiatry and Mental health and Information Systems, having authored 27 papers that have together received 982 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (11 papers), Sentiment Analysis and Opinion Mining (6 papers), Topic Modeling (4 papers), Multi-Agent Systems and Negotiation (3 papers), Dementia and Cognitive Impairment Research (2 papers), Emotion and Mood Recognition (2 papers), User Authentication and Security Systems (1 paper) and Biometric Identification and Security (1 paper). The work is most often cited by research in Psychiatry and Mental health (274 citations), Artificial Intelligence (485 citations), Signal Processing (64 citations), Experimental and Cognitive Psychology (119 citations) and Health Informatics (10 citations). Orith Ronen has collaborated with scholars based in United States, Israel and Ireland. Frequent co-authors include Leonardo Neumeyer, Horacio Franco, Alexander S. Sorin, Aharon Satt, Ron Hoory, Yoon Cheol Kim, Frans R.J. Verhey, Valéria Manera, Pauline Aalten and Renaud David. Their work appears in journals such as IEEE Signal Processing Letters, Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, Speech Communication, Nature and Annual Meeting of the Association for Computational Linguistics (ACL).

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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