Philipp Klumpp

438 total citations
24 papers, 280 citations indexed

About

Philipp Klumpp is a scholar working on Artificial Intelligence, Signal Processing and Physiology. According to data from OpenAlex, Philipp Klumpp has authored 24 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Signal Processing and 7 papers in Physiology. Recurrent topics in Philipp Klumpp's work include Speech Recognition and Synthesis (9 papers), Voice and Speech Disorders (7 papers) and Speech and Audio Processing (5 papers). Philipp Klumpp is often cited by papers focused on Speech Recognition and Synthesis (9 papers), Voice and Speech Disorders (7 papers) and Speech and Audio Processing (5 papers). Philipp Klumpp collaborates with scholars based in Germany, Colombia and Switzerland. Philipp Klumpp's co-authors include Elmar Nöth, Juan Rafael Orozco‐Arroyave, Juan Camilo Vásquez-Correa, Tomás Arias‐Vergara, Martin J. Schuster, Bjoern M. Eskofier, Vincent Christlein, Christine F. Martindale, Maria Schuster and Andreas Maier and has published in prestigious journals such as Neurocomputing, Speech Communication and Computer Speech & Language.

In The Last Decade

Philipp Klumpp

22 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philipp Klumpp Germany	9	129	90	83	48	36	24	280
Yassine Ben Ayed Tunisia	10	142 1.1×	47 0.5×	135 1.6×	90 1.9×	56 1.6×	33	350
R. Martínez Spain	10	138 1.1×	149 1.7×	107 1.3×	67 1.4×	15 0.4×	47	307
Phani Sankar Nidadavolu United States	10	198 1.5×	70 0.8×	174 2.1×	27 0.6×	36 1.0×	16	295
Vikneswaran Vijean Malaysia	10	109 0.8×	52 0.6×	106 1.3×	29 0.6×	32 0.9×	47	339
Cenk Demiroğlu Türkiye	10	274 2.1×	117 1.3×	227 2.7×	53 1.1×	36 1.0×	42	491
Beiming Cao United States	10	161 1.2×	104 1.2×	120 1.4×	53 1.1×	16 0.4×	17	286
Mehmet Bilal Er Türkiye	9	94 0.7×	43 0.5×	149 1.8×	86 1.8×	38 1.1×	27	377
Prasanta Kumar Ghosh India	12	137 1.1×	51 0.6×	114 1.4×	49 1.0×	11 0.3×	54	331
Federica Amato Italy	8	45 0.3×	100 1.1×	40 0.5×	12 0.3×	12 0.3×	15	227

Countries citing papers authored by Philipp Klumpp

Since Specialization

Citations

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

Fields of papers citing papers by Philipp Klumpp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Klumpp

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Klumpp. A scholar is included among the top collaborators of Philipp Klumpp 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 Philipp Klumpp. Philipp Klumpp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Arias‐Vergara, Tomás, et al.. (2024). Multilingual Speech and Language Analysis for the Assessment of Mild Cognitive Impairment: Outcomes from the Taukadial Challenge. 982–986. 2 indexed citations

Klumpp, Philipp, et al.. (2024). Speaker- and Text-Independent Estimation of Articulatory Movements and Phoneme Alignments from Speech. 1545–1549.

Arias‐Vergara, Tomás, Philipp Klumpp, Korbinian Riedhammer, et al.. (2023). Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer’s Disease Using Forestnets. 1–5. 4 indexed citations

Arias‐Vergara, Tomás, Philipp Klumpp, Maria Schuster, et al.. (2022). Interpreting acoustic features for the assessment of Alzheimer’s disease using ForestNet. Smart Health. 26. 100347–100347. 9 indexed citations

Arias‐Vergara, Tomás, Philipp Klumpp, Juan Camilo Vásquez-Correa, et al.. (2022). Depression assessment in people with Parkinson’s disease: The combination of acoustic features and natural language processing. Speech Communication. 145. 10–20. 8 indexed citations

Klumpp, Philipp, Tomás Arias‐Vergara, Patricia Lillo, et al.. (2022). Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings. Interspeech 2022. 2483–2487. 13 indexed citations

Arias‐Vergara, Tomás, et al.. (2022). Wav2vec behind the Scenes: How end2end Models learn Phonetics. Interspeech 2022. 5130–5134. 5 indexed citations

Klumpp, Philipp, Tomás Arias‐Vergara, Juan Camilo Vásquez-Correa, et al.. (2021). The phonetic footprint of Parkinson’s disease. Computer Speech & Language. 72. 101321–101321. 5 indexed citations

Vásquez-Correa, Juan Camilo, Tomás Arias‐Vergara, Philipp Klumpp, et al.. (2021). Acoustic and Linguistic Analyses to Assess Early-Onset and Genetic Alzheimer’s Disease. Zenodo (CERN European Organization for Nuclear Research). 12. 8338–8342. 6 indexed citations

10.

Klumpp, Philipp, Tobias Bocklet, Tomás Arias‐Vergara, et al.. (2021). The Phonetic Footprint of Covid-19?. OHMdok (Technische Hochschule Nürnberg). 441–445. 3 indexed citations

11.

Arias‐Vergara, Tomás, Juan Camilo Vásquez-Correa, Philipp Klumpp, et al.. (2021). Influence of the Interviewer on the Automatic Assessment of Alzheimer’s Disease in the Context of the ADReSSo Challenge. OHMdok (Technische Hochschule Nürnberg). 3785–3789. 11 indexed citations

12.

Klumpp, Philipp, Tomás Arias‐Vergara, Juan Camilo Vásquez-Correa, et al.. (2021). The phonetic footprint of Parkinson's disease. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

13.

Klumpp, Philipp, Tomás Arias‐Vergara, Juan Camilo Vásquez-Correa, et al.. (2020). Surgical Mask Detection with Deep Recurrent Phonetic Models. 2057–2061. 8 indexed citations

14.

Arias‐Vergara, Tomás, Philipp Klumpp, Juan Camilo Vásquez-Correa, et al.. (2020). Multi-channel spectrograms for speech processing applications using deep learning methods. Pattern Analysis and Applications. 24(2). 423–431. 70 indexed citations

15.

Orozco‐Arroyave, Juan Rafael, Juan Camilo Vásquez-Correa, Philipp Klumpp, et al.. (2020). Apkinson: the Smartphone Application for Telemonitoring Parkinson’s Patients Through speech, Gait and Hands Movement. Neurodegenerative Disease Management. 10(3). 137–157. 18 indexed citations

16.

Vásquez-Correa, Juan Camilo, Tomás Arias‐Vergara, Philipp Klumpp, et al.. (2019). Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease.. Conference of the International Speech Communication Association. 964–965. 2 indexed citations

17.

Vásquez-Correa, Juan Camilo, Philipp Klumpp, Juan Rafael Orozco‐Arroyave, & Elmar Nöth. (2019). Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech. 549–553. 30 indexed citations

18.

Klumpp, Philipp, Juan Camilo Vásquez-Correa, Tino Haderlein, & Elmar Nöth. (2019). Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data. 3068–3072.

19.

Klumpp, Philipp, et al.. (2018). ANN-based Alzheimer's disease classification from bag of words.. 1–4. 8 indexed citations

20.

Klumpp, Philipp, et al.. (2017). Apkinson — A Mobile Monitoring Solution for Parkinson’s Disease. 1839–1843. 19 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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