Eva Gårding

717 citations
20 papers · 514 · h-index 12

Impact in

Papers in

Eva Gårding

18 papers receiving 350 citations

Peers

Eva Gårding
Comparison fields: 5 of 27
  • Linguistics and Language 204
  • Experimental and Cognitive Psychology 447
  • Language and Linguistics 134
  • Artificial Intelligence 252
  • Signal Processing 60
Replace K.J. Kohler with:
K.J. Kohler Germany
Wiktor Jassem Poland
Edda Farnetani Italy
Ching X. Xu United States
J. ’t Hart Netherlands
Eli Fischer-Jørgensen Denmark
William G. Ewan United States
Seung-Jae Moon United States
Kenneth J. de Jong United States
Jos Pacilly Netherlands
Eva Gårding relative to K.J. Kohler Germany K.J. Kohler's profile →
Citations per field
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K.J. Kohler · 1×
Citations per year

Countries citing papers authored by Eva Gårding

Since Specialization
Citations

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

Fields of papers citing papers by Eva Gårding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Eva Gårding, 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 Eva Gårding Line = papers co-authored together Eva Gårding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
A prosodic typology for Swedish dialects
1978107
2
The Scandinavian word accents
197775
3 198762
4 198658
5 198345
6 197931
7
Internal juncture in Swedish
196726
8 196523
9 198123
10
Nordic prosody : papers from a symposium
197818
11
Intonation in Swedish
200913
12 198211
13 19706
14
A generative model for tone and intonation in Standard Chinese
19835
15
On Parameters and Principles in Intonation Analysis
20093
16 19603
17 19702
18
Kontrastiv fonetik och syntax med svenska i centrum
19762
19 19941
20
Laryngeal control of Swedish word accents
20170

About Eva Gårding

Eva Gårding is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence, Linguistics and Language, Language and Linguistics and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 514 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (16 papers), Linguistic Variation and Morphology (4 papers), Natural Language Processing Techniques (4 papers), Speech and dialogue systems (3 papers), Linguistics and language evolution (2 papers), Speech Recognition and Synthesis (2 papers), Music Technology and Sound Studies (1 paper) and Diverse Musicological Studies (1 paper). The work is most often cited by research in Linguistics and Language (204 citations), Experimental and Cognitive Psychology (447 citations), Language and Linguistics (134 citations), Artificial Intelligence (252 citations) and Signal Processing (60 citations). Eva Gårding has collaborated with scholars based in United States, Sweden and Taiwan. Frequent co-authors include Gösta Bruce, Jan‐Olof Svantesson, P. Kratochvíl, Arthur S. Abramson, Louis J. Gerstman, Osamu Fujimura and Hajime Hirose. Their work appears in journals such as Phonetica, Studia Linguistica, Speech Communication, Language and Speech and Medical Entomology and Zoology.

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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