Jonathan D. Amith

25 papers receiving 211 citations

Peers

Jonathan D. Amith
Comparison fields: 5 of 39
  • Experimental and Cognitive Psychology 99
  • Linguistics and Language 14
  • Artificial Intelligence 72
  • Language and Linguistics 27
  • Visual Arts and Performing Arts 14
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Will Styler United States
Chundra Cathcart Switzerland
Bhadriraju Krishnamurti India
Nicholas Allott Norway
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Countries citing papers authored by Jonathan D. Amith

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Amith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan D. Amith. 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 Jonathan D. Amith. The network helps show where Jonathan D. Amith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201343
2 201436
3 201832
4 200917
5 202215
6 200913
7 200511
8 20149
9 20169
10 20219
11
The Möbius strip
20057
12 20057
13 20216
14 20125
15 20225
16 19944
17 20163
18
La tradición del amate : innovación y protesta en el arte mexicano = The amate tradition : innovation and dissent in Mexican art
19952
19 20052
20 20212

About Jonathan D. Amith

Jonathan D. Amith is a scholar working on Experimental and Cognitive Psychology, Visual Arts and Performing Arts, Artificial Intelligence, Language and Linguistics and Ecology, Evolution, Behavior and Systematics, having authored 29 papers that have together received 244 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (7 papers), Phonetics and Phonology Research (7 papers), Latin American history and culture (5 papers), Syntax, Semantics, Linguistic Variation (5 papers), Natural Language Processing Techniques (3 papers), Plant and Fungal Species Descriptions (2 papers), Plant and animal studies (2 papers) and Insect and Arachnid Ecology and Behavior (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (99 citations), Linguistics and Language (14 citations), Artificial Intelligence (72 citations), Language and Linguistics (27 citations) and Visual Arts and Performing Arts (14 citations). Jonathan D. Amith has collaborated with scholars based in United States, Mexico and South Korea. Frequent co-authors include Christian Thomas Dicanio, D. H. Whalen, Hosung Nam, Victor Hugo Gonzalez Betancourt, Susan G. Guion, H. Timothy Bunnell, Shinji Watanabe, Jiatong Shi, Enrique L. Palancar and Thomas C. Smith-Stark. Their work appears in journals such as Journal of Phonetics, Phytotaxa, Apidologie, American Ethnologist and International Journal of American Linguistics.

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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