Chris Nash

32 papers receiving 208 citations

Peers

Chris Nash
Comparison fields: 5 of 72
  • Human-Computer Interaction 34
  • Obstetrics and Gynecology 26
  • Pharmacy 13
  • Computer Vision and Pattern Recognition 57
  • Pediatrics, Perinatology and Child Health 36
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Lilian de Greef United States
José Tiberio Hernández Colombia
Jyothi Samanth India
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Charles Muszynski France
Md Sirajus Salekin United States
Kevin Purdy United Kingdom
Fatimah Ahmedy Malaysia
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Citations per year

Countries citing papers authored by Chris Nash

Since Specialization
Citations

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

Fields of papers citing papers by Chris Nash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202332
2 200725
3 200825
4 201713
5 201512
6 200310
7
Tracking Virtuosity and Flow in Computer Music
20119
8 20129
9 20189
10 20178
11 20237
12 20166
13
Liveness in Notation Use: From Music to Programming.
20106
14 20236
15 20156
16 20125
17 20184
18 20144
19 19913
20 19843

About Chris Nash

Chris Nash is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, Human-Computer Interaction and Pediatrics, Perinatology and Child Health, having authored 38 papers that have together received 223 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (18 papers), Music and Audio Processing (8 papers), Neuroscience and Music Perception (7 papers), Tactile and Sensory Interactions (6 papers), Interactive and Immersive Displays (4 papers), Pregnancy and preeclampsia studies (3 papers), Maternal and fetal healthcare (3 papers) and Hand Gesture Recognition Systems (2 papers). The work is most often cited by research in Human-Computer Interaction (34 citations), Obstetrics and Gynecology (26 citations), Pharmacy (13 citations), Computer Vision and Pattern Recognition (57 citations) and Pediatrics, Perinatology and Child Health (36 citations). Chris Nash has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Alan F. Blackwell, Benny Goodman, Victoria M. Allen, James N. Reynolds, James F. Brien, Hans C. Dringenberg, John‏ Kingdom, Ernesto Antônio Figueiró-Filho, Nir Melamed and Eran Ashwal‏. Their work appears in journals such as Journal of Obstetrics and Gynaecology Canada, Canadian Journal of Gastroenterology and Hepatology, Alcohol, British Journal of Educational Psychology and Acta Obstetricia Et Gynecologica Scandinavica.

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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