Clemens Stachl

Clemens Stachl

Stanford University

H-index: 18

North America-United States

About Clemens Stachl

Clemens Stachl, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Mobile Sensing, Behavioral Science, Personality, Psychometrics, Computational Psychology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Putting Language into Context Using Smartphone-Based Keyboard Logging

Psychological well-being in Europe after the outbreak of war in Ukraine

A global experience‐sampling method study of well‐being during times of crisis: The CoCo project

Best practices in supervised machine learning: A tutorial for psychologists

How to e-mental health: a guideline for researchers and practitioners using digital technology in the context of mental health

Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics

Preregistration Protocol: Smartphone Sensing Panel Study–Cognitive Abilities in the Wild

Against Algorithmic Exploitation of Human Vulnerabilities

Clemens Stachl Information

University

Position

Postdoctoral Researcher

Citations(all)

1388

Citations(since 2020)

1359

Cited By

308

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

23

i10Index(since 2020)

23

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Clemens Stachl Skills & Research Interests

Mobile Sensing

Behavioral Science

Personality

Psychometrics

Computational Psychology

Top articles of Clemens Stachl

Title

Journal

Author(s)

Publication Date

Putting Language into Context Using Smartphone-Based Keyboard Logging

arXiv preprint arXiv:2403.05180

Florian Bemmann

Timo Koch

Maximilian Bergmann

Clemens Stachl

Daniel Buschek

...

2024/3/8

Psychological well-being in Europe after the outbreak of war in Ukraine

Nature Communications

Julian Scharbert

Sarah Humberg

Lara Kroencke

Thomas Reiter

Sophia Sakel

...

2024/2/20

A global experience‐sampling method study of well‐being during times of crisis: The CoCo project

Julian Scharbert

Thomas Reiter

Sophia Sakel

Julian Ter Horst

Katharina Geukes

...

2023/10

Best practices in supervised machine learning: A tutorial for psychologists

Florian Pargent

Ramona Schoedel

Clemens Stachl

2023/7

How to e-mental health: a guideline for researchers and practitioners using digital technology in the context of mental health

Caroline Seiferth

Lea Vogel

Benjamin Aas

Isabel Brandhorst

Per Carlbring

...

2023/8

Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics

Scientific Reports

Sandra C Matz

Christina S Bukow

Heinrich Peters

Christine Deacons

Alice Dinu

...

2023/4/7

Preregistration Protocol: Smartphone Sensing Panel Study–Cognitive Abilities in the Wild

Maximilian Bergmann

Ramona Schoedel

Clemens Stachl

2023/11/11

Against Algorithmic Exploitation of Human Vulnerabilities

arXiv preprint arXiv:2301.04993

Inga Strümke

Marija Slavkovik

Clemens Stachl

2023/1/12

BREAKING NEWS: Psycholinguistic and Behavioural Differences in (Un)‐Trustworthy Online News Source Interaction (Poster)

Big Data & Research Syntheses 2023, Frankfurt, Germany

Pietro Alessandro Aluffi

Léo Meynent

Clemens Stachl

2023/7/24

Cognitive Abilities in the Wild: Predicting Fluid Intelligence from Digital Footprints of Everyday Smartphone Usage

Maximilian Bergmann

Ramona Schoedel

Clemens Stachl

2023/11/11

Concatenating Machine Learning Applications for Analyzing Digital Behavioral Data (Slides)

Big Data & Research Syntheses 2023, Frankfurt, Germany

Larissa Sust

Clemens Stachl

Ramona Schoedel

2023/7/18

Personality computing with naturalistic music listening behavior: Comparing audio and lyrics preferences

Collabra: Psychology

Larissa Sust

Clemens Stachl

Gayatri Kudchadker

Markus Bühner

Ramona Schoedel

2023/1/3

Mobile application usage in psychological research

Mobile Sensing in Psychology: Methods and Applications

Larissa Sust

Sanaz Talaifar

Clemens Stachl

2023/10/6

The Dark and Bright Future of Psychological Assessment

Big Data & Research Syntheses 2023, Frankfurt, Germany

Clemens Stachl

2023/7/17

A Workflow for Human-Centered Machine-Assisted Hypothesis Generation: Comment on Banker et al.(2023)

American Psychologist

Alejandro Hermida Carrillo

Clemens Stachl

Sanaz Talaifar

2023

Affect Experience in Everyday Language Logged with Smartphones

Timo Koch

Johannes Eichstädt

Clemens Stachl

2022/2/15

Future-generation personality prediction from digital footprints

Yash Mehta

Clemens Stachl

Konstantin Markov

Joseph T Yun

Björn W Schuller

2022/11/1

Mobile sensing in psychological and educational research: Examples from two application fields

International Journal of testing

Efsun Birtwistle

Ramona Schoedel

Florian Bemmann

Astrid Wirth

Christoph Sürig

...

2022/10/2

Age and gender in language, emoji, and emoticon usage in instant messages

Computers in Human Behavior

Timo K Koch

Peter Romero

Clemens Stachl

2022/1/1

Factorized structured regression for large-scale varying coefficient models

David Rügamer

Andreas Bender

Simon Wiegrebe

Daniel Racek

Bernd Bischl

...

2022/9/19

See List of Professors in Clemens Stachl University(Stanford University)

Co-Authors

H-index: 67
Jason Rentfrow

Jason Rentfrow

University of Cambridge

H-index: 54
Markus Bühner

Markus Bühner

Ludwig-Maximilians-Universität München

H-index: 51
Heinrich Hussmann

Heinrich Hussmann

Ludwig-Maximilians-Universität München

H-index: 46
Andreas Butz

Andreas Butz

Ludwig-Maximilians-Universität München

H-index: 45
Bernd Bischl

Bernd Bischl

Ludwig-Maximilians-Universität München

H-index: 32
Daniel Buschek

Daniel Buschek

Universität Bayreuth

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