Eva Gårding

716 citations
18 papers · 426 · h-index 11

Impact in

Papers in

Eva Gårding

17 papers receiving 304 citations

Peers

Eva Gårding
Comparison fields: 5 of 25
  • Linguistics and Language 176
  • Experimental and Cognitive Psychology 373
  • Language and Linguistics 115
  • Artificial Intelligence 207
  • Signal Processing 50
Replace K.J. Kohler with:
K.J. Kohler Germany
Michael O’Dell Finland
Renée van Bezooijen Netherlands
William G. Ewan United States
Sandra Ferrari Disner United States
J. ’t Hart Netherlands
Kari Suomi Finland
Seung-Jae Moon United States
Kimary N. Shahin Canada
Eli Fischer-Jørgensen Denmark
Eva Gårding relative to K.J. Kohler Germany K.J. Kohler's profile →
Citations per field
00.5×1.5×
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

18 of 18 papers shown
#Work
1
A prosodic typology for Swedish dialects
1978101
2
The Scandinavian word accents
197765
3 198655
4 198755
5 197928
6
Internal juncture in Swedish
196724
7 196521
8 198119
9
Nordic prosody : papers from a symposium
197815
10
Intonation in Swedish
200912
11 198210
12 19706
13
A generative model for tone and intonation in Standard Chinese
19835
14
On Parameters and Principles in Intonation Analysis
20093
15 19603
16 19702
17
Kontrastiv fonetik och syntax med svenska i centrum
19762
18
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 Music, having authored 18 papers that have together received 426 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (15 papers), Linguistic Variation and Morphology (4 papers), Natural Language Processing Techniques (3 papers), Speech and dialogue systems (2 papers), Linguistics and language evolution (2 papers), Speech Recognition and Synthesis (2 papers), Categorization, perception, and language (1 paper) and Diverse Musicological Studies (1 paper). The work is most often cited by research in Linguistics and Language (176 citations), Experimental and Cognitive Psychology (373 citations), Language and Linguistics (115 citations), Artificial Intelligence (207 citations) and Signal Processing (50 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, Hajime Hirose and Osamu Fujimura. Their work appears in journals such as Studia Linguistica, Phonetica, Language and Speech, Medical Entomology and Zoology and Lund University Publications (Lund University).

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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