Daniel Langenkämper

About Daniel Langenkämper

Daniel Langenkämper, With an exceptional h-index of 12 and a recent h-index of 10 (since 2020), a distinguished researcher at Universität Bielefeld, specializes in the field of Exploratory Data Analysis, Deep Learning, Computer Vision, Information Visualization, Marine Image Informatics.

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

Report on the Marine Imaging Workshop 2022

A data science approach for multi-sensor marine observatory data monitoring cold water corals (Paragorgia arborea) in two campaigns

The exploration and annotation of large amounts of visual inspection data for protective coating systems on stationary marine steel structures

Improving deep learning-based segmentation of diatoms in gigapixel-sized virtual slides by object-based tile positioning and object integrity constraint

An online platform for the management of digital visual data for the condition monitoring of protective coatings on marine steel structures

Eine Online‐Plattform für die Verarbeitung digitaler visueller Daten zur Zustandsbeschreibung von Beschichtungssystemen an maritimen Stahlbauten

Exploring time series of hyperspectral images for cold water coral stress response analysis

The WIO Regional Benthic Imagery Workshop: Lessons from past IIOE-2 expeditions

Daniel Langenkämper Information

University

Position

Biodata Mining Group

Citations(all)

630

Citations(since 2020)

547

Cited By

198

hIndex(all)

12

hIndex(since 2020)

10

i10Index(all)

13

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Daniel Langenkämper Skills & Research Interests

Exploratory Data Analysis

Deep Learning

Computer Vision

Information Visualization

Marine Image Informatics

Top articles of Daniel Langenkämper

A data science approach for multi-sensor marine observatory data monitoring cold water corals (Paragorgia arborea) in two campaigns

PloS one

2023/7/19

Daniel Langenkämper
Daniel Langenkämper

H-Index: 6

The exploration and annotation of large amounts of visual inspection data for protective coating systems on stationary marine steel structures

Ocean Engineering

2023/6/15

Daniel Langenkämper
Daniel Langenkämper

H-Index: 6

Improving deep learning-based segmentation of diatoms in gigapixel-sized virtual slides by object-based tile positioning and object integrity constraint

Plos one

2023/2/24

Michael Kloster
Michael Kloster

H-Index: 5

Daniel Langenkämper
Daniel Langenkämper

H-Index: 6

An online platform for the management of digital visual data for the condition monitoring of protective coatings on marine steel structures

Stahlbau

2023/2/1

Eine Online‐Plattform für die Verarbeitung digitaler visueller Daten zur Zustandsbeschreibung von Beschichtungssystemen an maritimen Stahlbauten

Stahlbau

2023/2

Daniel Langenkämper
Daniel Langenkämper

H-Index: 6

Exploring time series of hyperspectral images for cold water coral stress response analysis

Plos one

2022/8/8

Daniel Langenkämper
Daniel Langenkämper

H-Index: 6

The WIO Regional Benthic Imagery Workshop: Lessons from past IIOE-2 expeditions

Research Ideas and Outcomes

2022/8/3

The impact of data augmentations on deep learning-based marine object classification in benthic image transects

Sensors

2022/7/19

Daniel Langenkämper
Daniel Langenkämper

H-Index: 6

A Digital Twin concept for the prescriptive maintenance of protective coating systems on wind turbine structures

Wind Engineering

2022/6

Daniel Langenkämper
Daniel Langenkämper

H-Index: 6

A data-based model for condition monitoring and maintenance planning for protective coating systems for wind tower structures

Renewable energy

2022/3/1

Daniel Langenkämper
Daniel Langenkämper

H-Index: 6

Peter Schaumann
Peter Schaumann

H-Index: 12

Corrigendum to “A data-based model for condition monitoring and maintenance planning for protective coating systems for wind tower structures”[Renew. Energy 186 (2022) 957–973]

Renewable Energy

2022

Daniel Langenkämper
Daniel Langenkämper

H-Index: 6

Peter Schaumann
Peter Schaumann

H-Index: 12

Digitalization and the use of sensor data for the condition monitoring of surface protection systems of steel towers of onshore wind power structures

STAHLBAU

2021/7/1

Digitalisierung und Verarbeitung von Sensordaten für die Zustandsbewertung von Oberflächenschutzsystemen stählerner Türme von Onshore‐Windenergieanlagen

Stahlbau

2021/7

Daniel Langenkämper
Daniel Langenkämper

H-Index: 6

Peter Schaumann
Peter Schaumann

H-Index: 12

The quest for seafloor macrolitter: a critical review of background knowledge, current methods and future prospects

2021/1/19

Gear-induced concept drift in marine images and its effect on deep learning classification

Frontiers in Marine Science

2020/7/14

Daniel Langenkämper
Daniel Langenkämper

H-Index: 6

Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison

Biogeosciences

2020/6/19

Data-driven models for taxonomic classification in marine science

2020

Daniel Langenkämper
Daniel Langenkämper

H-Index: 6

Efficient visual monitoring of offshore windmill installations with online image annotation and deep learning computer vision

2020/10/5

Daniel Langenkämper
Daniel Langenkämper

H-Index: 6

Deep learning-based diatom taxonomy on virtual slides

Scientific reports

2020/9/2

See List of Professors in Daniel Langenkämper University(Universität Bielefeld)