Denis Arnold

562 total citations
19 papers, 300 citations indexed

About

Denis Arnold is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Linguistics and Language. According to data from OpenAlex, Denis Arnold has authored 19 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Experimental and Cognitive Psychology, 14 papers in Artificial Intelligence and 4 papers in Linguistics and Language. Recurrent topics in Denis Arnold's work include Phonetics and Phonology Research (16 papers), Speech and dialogue systems (8 papers) and Speech Recognition and Synthesis (7 papers). Denis Arnold is often cited by papers focused on Phonetics and Phonology Research (16 papers), Speech and dialogue systems (8 papers) and Speech Recognition and Synthesis (7 papers). Denis Arnold collaborates with scholars based in Germany, Canada and Netherlands. Denis Arnold's co-authors include Nina R. Arnold, Daniel W. Heck, R. Harald Baayen, Fabian Tomaschek, Petra Wagner, Martijn Wieling, Bernd Möbius, Frank Kügler, Catharine Oertel and Antje Schweitzer and has published in prestigious journals such as PLoS ONE, Behavior Research Methods and Journal of Phonetics.

In The Last Decade

Denis Arnold

19 papers receiving 284 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Denis Arnold Germany	8	161	131	112	64	61	19	300
Renée van Bezooijen Netherlands	9	225 1.4×	97 0.7×	77 0.7×	69 1.1×	122 2.0×	18	374
Rachel Smith United Kingdom	12	277 1.7×	83 0.6×	194 1.7×	46 0.7×	111 1.8×	36	419
Michelle Cohn United States	11	164 1.0×	194 1.5×	96 0.9×	20 0.3×	43 0.7×	39	368
Barbara Kühnert France	10	191 1.2×	144 1.1×	42 0.4×	28 0.4×	127 2.1×	20	317
Tamara Rathcke United Kingdom	12	279 1.7×	94 0.7×	120 1.1×	30 0.5×	162 2.7×	43	370
Brandon Roy United States	10	89 0.6×	133 1.0×	49 0.4×	219 3.4×	19 0.3×	16	382
Grant McGuire United States	8	218 1.4×	69 0.5×	42 0.4×	52 0.8×	105 1.7×	19	257
Pauli Brattico Finland	11	89 0.6×	117 0.9×	136 1.2×	61 1.0×	27 0.4×	38	318
Margaret R. MacEachern United States	7	148 0.9×	174 1.3×	26 0.2×	30 0.5×	57 0.9×	11	279
Willemijn Heeren Netherlands	11	146 0.9×	134 1.0×	71 0.6×	52 0.8×	52 0.9×	47	308

Countries citing papers authored by Denis Arnold

Since Specialization

Citations

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

Fields of papers citing papers by Denis Arnold

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denis Arnold

This figure shows the co-authorship network connecting the top 25 collaborators of Denis Arnold. A scholar is included among the top collaborators of Denis Arnold based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Denis Arnold. Denis Arnold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Tomaschek, Fabian, et al.. (2021). A corpus of Schlieren photography of speech production: potential methodology to study aerodynamics of labial, nasal and vocalic processes. Language Resources and Evaluation. 55(4). 1127–1140. 1 indexed citations

Tomaschek, Fabian, et al.. (2020). Articulatory Variability is Reduced by Repetition and Predictability. Language and Speech. 64(3). 654–680. 7 indexed citations

Arnold, Denis, et al.. (2020). Addressing Cha(lle)nges in Long-Term Archiving of Large Corpora. Universitätsbibliographie, Universität Duisburg-Essen. 1–9. 1 indexed citations

Tomaschek, Fabian, et al.. (2018). Lexical frequency co-determines the speed-curvature relation in articulation. Journal of Phonetics. 68. 103–116. 19 indexed citations

Heck, Daniel W., Nina R. Arnold, & Denis Arnold. (2017). TreeBUGS: An R package for hierarchical multinomial-processing-tree modeling. Behavior Research Methods. 50(1). 264–284. 110 indexed citations

Arnold, Denis, et al.. (2017). Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit. PLoS ONE. 12(4). e0174623–e0174623. 55 indexed citations

Wieling, Martijn, et al.. (2016). Investigating dialectal differences using articulography. Journal of Phonetics. 59(1). 122–143. 5 indexed citations

Arnold, Denis & Fabian Tomaschek. (2016). The Karl Eberhards Corpus of spontaneously spoken southern German in dialogues - audio and articulatory recordings. Publication Server of the Institute for German Language (Institute for German Language). 4 indexed citations

Kügler, Frank, Denis Arnold, Stefan Baumann, et al.. (2015). DIMA - ANNOTATION GUIDELINES FOR GERMAN INTONATION. Kölner Universitäts PublikationsServer (Universität zu Köln). 21 indexed citations

10.

Wieling, Martijn, Fabian Tomaschek, Denis Arnold, & R. Harald Baayen. (2014). Large-scale analysis of articulatory trajectories using Generalized Additive Modeling. Data Archiving and Networked Services (DANS). 2 indexed citations

11.

Arnold, Denis, Petra Wagner, & R. Harald Baayen. (2013). Using generalized additive models and random forests to model German prosodic prominence. PUB – Publications at Bielefeld University (Bielefeld University). 7 indexed citations

12.

Tomaschek, Fabian, Martijn Wieling, Denis Arnold, & R. Harald Baayen. (2013). Word frequency, vowel length and vowel quality in speech production: an EMA study of the importance of experience. 1302–1306. 28 indexed citations

13.

Arnold, Denis, Petra Wagner, & R. Harald Baayen. (2013). Using generalized additive models and random forests to model prosodic prominence in German. 272–276. 15 indexed citations

14.

Arnold, Denis, et al.. (2012). More on the normalization of syllable prominence ratings. 2418–2421. 1 indexed citations

15.

Arnold, Denis, et al.. (2012). On the normalization of syllable prominence ratings. Multilingual Matters (Channel View Publications). 314–317. 1 indexed citations

16.

Arnold, Denis, Petra Wagner, & Bernd Möbius. (2012). Obtaining prominence judgments from naive listeners.influence of rating scales linguistic levels and normalisation. Publication Server of the Institute for German Language (Institute for German Language). 2394–2397. 4 indexed citations

17.

Arnold, Denis, Petra Wagner, & Bernd Möbius. (2011). Evaluating different rating scales for obtaining judgments of syllable prominence from naïve listeners. Publication Server of the Institute for German Language (Institute for German Language). 252–255. 8 indexed citations

18.

Arnold, Denis, Bernd Möbius, & Petra Wagner. (2011). Comparing word and syllable prominence rated by naïve listeners. 1877–1880. 8 indexed citations

19.

Wagner, Petra, et al.. (2010). Automatic Prominence Annotation of a German Speech Synthesis Corpus: Towards Prominence-Based Prosody Generation for Unit Selection Synthesis. Publication Server of the Institute for German Language (Institute for German Language). 377–382. 3 indexed citations

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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