Michael Thomas Knierim

About Michael Thomas Knierim

Michael Thomas Knierim, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Karlsruher Institut für Technologie, specializes in the field of Bio- & Neurofeedback, Flow Theory.

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

Hybrid Adaptive Systems

The Positive Impact of Metric Learning on Open Set Nearest Neighbor Classification

Towards EEG-Based Decision Support Systems: Externalizing Neural Information to Assist Economic Decisions

How good are you? An empirical classification performance comparison of Large Language Models with traditional Open Set Recognition classifiers

What disrupts flow in office work? The impact of frequency and relevance of IT-mediated interruptions

Fostering flow experiences at work: a framework and research agenda for developing flow interventions

Time-Aware Data Profiling With Decision Tree Pattern Mining

A systematic comparison of high-end and low-cost EEG amplifiers for concealed, around-the-ear EEG recordings

Michael Thomas Knierim Information

University

Position

Information Systems

Citations(all)

275

Citations(since 2020)

265

Cited By

58

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Michael Thomas Knierim Skills & Research Interests

Bio- & Neurofeedback

Flow Theory

Top articles of Michael Thomas Knierim

The Positive Impact of Metric Learning on Open Set Nearest Neighbor Classification

2024/1/3

Michael Thomas Knierim
Michael Thomas Knierim

H-Index: 4

Christof Weinhardt
Christof Weinhardt

H-Index: 31

Towards EEG-Based Decision Support Systems: Externalizing Neural Information to Assist Economic Decisions

2024

Michael Thomas Knierim
Michael Thomas Knierim

H-Index: 4

How good are you? An empirical classification performance comparison of Large Language Models with traditional Open Set Recognition classifiers

ZEUS 2024

2024

What disrupts flow in office work? The impact of frequency and relevance of IT-mediated interruptions

MIS QUARTERLY

2023/12/1

Fostering flow experiences at work: a framework and research agenda for developing flow interventions

2023/7/7

Time-Aware Data Profiling With Decision Tree Pattern Mining

2023/6/21

Michael Thomas Knierim
Michael Thomas Knierim

H-Index: 4

Christof Weinhardt
Christof Weinhardt

H-Index: 31

A systematic comparison of high-end and low-cost EEG amplifiers for concealed, around-the-ear EEG recordings

Sensors

2023/5/8

Michael Thomas Knierim
Michael Thomas Knierim

H-Index: 4

Pierluigi Reali
Pierluigi Reali

H-Index: 3

OpenBCI+ 3D-Printed Headphones= Open ExG Headphones–An Open-Source Research Platform for Biopotential Earable Applications

2023/4/19

Michael Thomas Knierim
Michael Thomas Knierim

H-Index: 4

Tobias Röddiger
Tobias Röddiger

H-Index: 3

InterFlowCeption: Foundations for Technological Enhancement of Interoception to Foster Flow States during Mental Work: About the potential of technologically supported body …

2023/4/19

Could we Predict Flow from Ear-EEG?

2022/10/17

Michael Thomas Knierim
Michael Thomas Knierim

H-Index: 4

Christof Weinhardt
Christof Weinhardt

H-Index: 31

A simplified design of a cEEGrid ear-electrode adapter for the OpenBCI biosensing platform

HardwareX

2022/10/1

OpenBCI-cEEGrid Adapter

2022/8/14

Michael Thomas Knierim
Michael Thomas Knierim

H-Index: 4

Flow in knowledge work: An initial evaluation of flow psychophysiology across three cognitive tasks

2022/6/14

Michael Thomas Knierim
Michael Thomas Knierim

H-Index: 4

Christof Weinhardt
Christof Weinhardt

H-Index: 31

Facilitating NeuroIS Research Using Natural Language Processing: Towards Automated Recommendations

2022/6/14

Monitoring Cognitive Load with 3D-Printed EEG Headphones

2022

Michael Thomas Knierim
Michael Thomas Knierim

H-Index: 4

Open-source concealed EEG data collection for Brain-computer-interfaces-neural observation through OpenBCI amplifiers with around-the-ear cEEGrid electrodes

Brain-Computer Interfaces

2021/10/2

Exploring the recognition of facial activities through around-the-ear electrode arrays (ceegrids)

2021

Detecting flow experiences in the field using video-based head and face activity recognition: a pilot study

2021

Predicting in-field flow experiences over two weeks from ECG data: A case study

2021

See List of Professors in Michael Thomas Knierim University(Karlsruher Institut für Technologie)

Co-Authors

academic-engine