Ron Hoory

2.1k citations
48 papers · 1.5k · h-index 17

Impact in

Papers in

    • Speech and Audio Processing 24
    • Music and Audio Processing 13
    • Speech Recognition and Synthesis 36
    • Natural Language Processing Techniques 12
    • Speech and dialogue systems 11
    • Topic Modeling 9

Ron Hoory

42 papers receiving 1.4k citations

Peers

Ron Hoory
Comparison fields: 5 of 102
  • Signal Processing 656
  • Experimental and Cognitive Psychology 443
  • Artificial Intelligence 887
  • Psychiatry and Mental health 107
  • Cognitive Neuroscience 137
Replace Gábor Gosztolya with:
Gábor Gosztolya Hungary
Aharon Satt Israel
John-Paul Hosom United States
António Teixeira Portugal
Florian Groß Germany
Seyed Reza Shahamiri New Zealand
John Kane Ireland
Alberto Abad Portugal
Fasih Haider United Kingdom
Colleen Richey United States
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Citations per field
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Citations per year

Countries citing papers authored by Ron Hoory

Since Specialization
Citations

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

Fields of papers citing papers by Ron Hoory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017317
2 2015299
3 2021109
4 202295
5 201462
6 200662
7 201461
8 200558
9 202249
10 200243
11 202039
12 201528
13 201327
14 201127
15 201425
16 201418
17 200617
18 200516
19 200115
20 201615

About Ron Hoory

Ron Hoory is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (36 papers), Speech and Audio Processing (24 papers), Music and Audio Processing (13 papers), Natural Language Processing Techniques (12 papers), Speech and dialogue systems (11 papers), Topic Modeling (9 papers), Advanced Data Compression Techniques (6 papers) and Emotion and Mood Recognition (4 papers). The work is most often cited by research in Signal Processing (656 citations), Experimental and Cognitive Psychology (443 citations), Artificial Intelligence (887 citations), Psychiatry and Mental health (107 citations) and Cognitive Neuroscience (137 citations). Ron Hoory has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Aharon Satt, Alexander S. Sorin, Alexandra König, Pauline Aalten, Hagai Aronowitz, Raul Castro Fernandez, Bhuvana Ramabhadran, David Carmel, Orith Toledo‐Ronen and Alexandre Derreumaux. Their work appears in journals such as Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, Nature, Applied Soft Computing, UvA-DARE (University of Amsterdam) and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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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