Elif Eyigöz

419 total citations
13 papers, 212 citations indexed

About

Elif Eyigöz is a scholar working on Artificial Intelligence, Physiology and Neurology. According to data from OpenAlex, Elif Eyigöz has authored 13 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Physiology and 3 papers in Neurology. Recurrent topics in Elif Eyigöz's work include Voice and Speech Disorders (3 papers), Topic Modeling (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Elif Eyigöz is often cited by papers focused on Voice and Speech Disorders (3 papers), Topic Modeling (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Elif Eyigöz collaborates with scholars based in United States, Chile and Germany. Elif Eyigöz's co-authors include Guillermo Cecchi, Melissa Naylor, Sachin Mathur, Mar Santamaria, Carla Agurto, Raquel Norel, Emma Stanislawski, Cheryl M. Corcoran, Juan Rafael Orozco‐Arroyave and Elmar Nöth and has published in prestigious journals such as Biological Psychiatry, Cortex and Artificial Intelligence in Medicine.

In The Last Decade

Elif Eyigöz

13 papers receiving 206 citations

Peers

Elif Eyigöz

CN

PMH

AI

PHYSI

SP

Kaoru Shinkawa Japan

Nicklas Linz France

Rema Rossini Favretti Italy

Elisabet Blok Netherlands

Radia Zeghari France

Cristiano Chesi Italy

Kathryn P. Connaghan United States

Benjamin Calvet France

María Francisca Alonso-Sánchez Chile

Bénédicte Batrancourt France

Kaoru Shinkawa Japan

Elif Eyigöz

78 ×1.0

CN

121 ×1.8

PMH

37 ×0.7

AI

29 ×0.7

PHYSI

42 ×1.4

SP

Citations per year, relative to Elif Eyigöz Elif Eyigöz (= 1×) peers Kaoru Shinkawa

Countries citing papers authored by Elif Eyigöz

Since Specialization

Citations

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

Fields of papers citing papers by Elif Eyigöz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elif Eyigöz

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Agurto, Carla, Guillermo Cecchi, Elif Eyigöz, et al.. (2025). Speak and You Shall Predict: Evidence That Speech at Initial Cocaine Abstinence Is a Biomarker of Long-Term Drug Use Behavior. Biological Psychiatry. 98(1). 65–75. 2 indexed citations

2.

Gruen, Daniel M., Olivia Zhang, Elif Eyigöz, et al.. (2023). Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes. Artificial Intelligence in Medicine. 137. 102498–102498. 13 indexed citations

3.

Zhou, Bing, et al.. (2021). Dynamic Content Generation for Augmented Technical Support. 66. 441–446. 1 indexed citations

4.

Birnbaum, Michael L., Raquel Norel, Anna Van Meter, et al.. (2020). Identifying signals associated with psychiatric illness utilizing language and images posted to Facebook. Schizophrenia. 6(1). 38–38. 23 indexed citations

5.

Eyigöz, Elif, Lucas Sedeño, Juan Rafael Orozco‐Arroyave, et al.. (2020). From discourse to pathology: Automatic identification of Parkinson's disease patients via morphological measures across three languages. Cortex. 132. 191–205. 31 indexed citations

6.

Eyigöz, Elif, Sachin Mathur, Mar Santamaria, Guillermo Cecchi, & Melissa Naylor. (2020). Linguistic markers predict onset of Alzheimer's disease. EClinicalMedicine. 28. 100583–100583. 101 indexed citations

7.

Agurto, Carla, Raquel Norel, Elif Eyigöz, et al.. (2020). Analyzing acoustic and prosodic fluctuations in free speech to predict psychosis onset in high-risk youths. PubMed. 2020. 5575–5579. 18 indexed citations

8.

Agurto, Carla, Omar Ahmad, Guillermo Cecchi, et al.. (2019). Analyzing progression of motor and speech impairment in ALS. PubMed. 128. 6097–6102. 9 indexed citations

9.

Agurto, Carla, Raquel Norel, Elif Eyigöz, et al.. (2019). A New Approach for Automating Analysis of Responses on Verbal Fluency Tests from Subjects At-Risk for Schizophrenia. 3028–3032. 3 indexed citations

10.

Eyigöz, Elif, Adolfo M. García, Juan Rafael Orozco‐Arroyave, et al.. (2018). Unsupervised Morphological Segmentation for Detecting Parkinson's Disease.. National Conference on Artificial Intelligence. 126–131. 3 indexed citations

11.

Eyigöz, Elif, Daniel Gildea, & Kemal Oflazer. (2018). Multi-rate HMMs for Word Alignment. Figshare. 494–502. 1 indexed citations

12.

Agurto, Carla, Pat Pataranutaporn, Elif Eyigöz, Gustavo Stolovitzky, & Guillermo Cecchi. (2018). Predictive Linguistic Markers of Suicidality in Poets. 282–285. 4 indexed citations

13.

Eyigöz, Elif, Daniel Gildea, & Kemal Oflazer. (2018). Simultaneous Word-Morpheme Alignment for Statistical Machine Translation. Figshare. 32–40. 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.

Explore authors with similar magnitude of impact