Nori Jacoby

54 papers receiving 1.5k citations

Nori Jacoby's Hit Papers

Universality and diversity in human song 2019 · 266 citations
2660+2+4Years since publication50100150200250

Peers

Nori Jacoby
Comparison fields: 5 of 111
  • Developmental Biology 340
  • Music 178
  • Cognitive Neuroscience 963
  • Signal Processing 384
  • Experimental and Cognitive Psychology 300
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Patrick E. Savage Japan
Adena Schachner United States
Max M. Krasnow United States
Justin London United States
Martin Clayton United Kingdom
Constance M. Bainbridge United States
John R. Vokey Canada
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Nadine Lavan United Kingdom
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Countries citing papers authored by Nori Jacoby

Since Specialization
Citations

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

Fields of papers citing papers by Nori Jacoby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Universality and diversity in human song
Hit paper breakdown →
2019266
2 2013152
3 2017127
4 201092
5 202069
6 201968
7 202055
8 201951
9 201847
10 202143
11 202043
12 201540
13 201235
14 201633
15 201532
16 201531
17 201629
18 201625
19 202425
20 201322

About Nori Jacoby

Nori Jacoby is a scholar working on Cognitive Neuroscience, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Developmental Biology, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (34 papers), Music and Audio Processing (15 papers), Animal Vocal Communication and Behavior (11 papers), Multisensory perception and integration (10 papers), Music Technology and Sound Studies (9 papers), Action Observation and Synchronization (6 papers), Neural dynamics and brain function (6 papers) and Language and cultural evolution (5 papers). The work is most often cited by research in Developmental Biology (340 citations), Music (178 citations), Cognitive Neuroscience (963 citations), Signal Processing (384 citations) and Experimental and Cognitive Psychology (300 citations). Nori Jacoby has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Josh H. McDermott, Rainer Polak, Merav Ahissar, Justin London, Ofer Tchernichovski, Peter E. Keller, Bruno H. Repp, Roni Granot, Giulio Bottazzi and Giovanni Dosi. Their work appears in journals such as Current Biology, Nature Communications, Timing & Time Perception, Scientific Reports and Philosophical Transactions of the Royal Society B Biological Sciences.

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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