Profiling linked open data with ProLOD. - Christoph Böhm 001; Felix Naumann; Ziawasch Abedjan; Dandy Fenz; Toni Grütze; Daniel Hefenbrock; Matthias Pohl; David Sonnabend (ICDE Workshops, 2010)

An efficient and scalable architecture for real-time distortion removal and rectification of live camera images. - Matthias Pohl; Michael Schaeferling; Gundolf Kiefer; Plamen Petrow; Egmont Woitzel; Frank Papenfuss (ReConFig, 2012)

An efficient FPGA-based hardware framework for natural feature extraction and related Computer Vision tasks. - Matthias Pohl; Michael Schaeferling; Gundolf Kiefer (FPL, 2014)

Leveraging polynomial approximation for non-linear image transformations in real time. - Matthias Pohl; Michael Schaeferling; Gundolf Kiefer; Plamen Petrow; Egmont Woitzel; Frank Papenfuß (Comput. Electr. Eng., 2014)

An Evaluation of Variability Mechanisms to Manage Cloud Services. - Ateeq Khan; Matthias Pohl; Veit Köppen; Gunter Saake; Klaus Turowski (ICE-B, 2017)

A Holistic View of the IoT Process from Sensors to the Business Value. - Ateeq Khan; Matthias Pohl; Sascha Bosse; Stefan Willi Hart; Klaus Turowski (IoTBDS, 2017)

Capacity Planning as a Service for Enterprise Standard Software. - Hendrik Müller; Sascha Bosse; Matthias Pohl; Klaus Turowski (CBI (1), 2017)

Classifying Big Data Technologies - An Ontology-based Approach. - Matthias Volk 002; Matthias Pohl; Klaus Turowski (AMCIS, 2018)

A Data-Science-as-a-Service Model. - Matthias Pohl; Sascha Bosse; Klaus Turowski (CLOSER, 2018)

Performance Evaluation of Application Layer Protocols for the Internet-of-Things. - Matthias Pohl; Janick Kubela; Sascha Bosse; Klaus Turowski (ES, 2018)

Internet of Things Middleware: How Suitable are Service-oriented Architecture and Resource-oriented Architecture. - Janick Kubela; Matthias Pohl; Sascha Bosse; Klaus Turowski (IoTBDS, 2018)

Toward an Autonomic and Adaptive Load Management Strategy for Reducing Energy Consumption under Performance Constraints in Data Centers. - Abdulrahman Nahhas; Sascha Bosse; Matthias Pohl; Klaus Turowski (CLOSER, 2019)

Proof of Provision: Improving Blockchain Technology by Cloud Computing. - Matthias Pohl; Abdulrahman Nahhas; Sascha Bosse; Klaus Turowski (CLOSER, 2019)

Challenging Big Data Engineering: Positioning of Current and Future Development. - Matthias Volk 002; Daniel Staegemann; Matthias Pohl; Klaus Turowski (IoTBDS, 2019)

Towards an Automated Optimization-as-a-Service Concept. - Sascha Bosse; Abdulrahman Nahhas; Matthias Pohl; Klaus Turowski (IoTBDS, 2019)

Towards a Blockchain Technology Framework - Literature Review on components in blockchain implementations. - Matthias Pohl; René Degenkolbe; Daniel Staegemann; Klaus Turowski (ACIS, 2020)

Enterprise architecture's effects on organizations' ability to adopt artificial intelligence - A Resource-based perspective. - Philipp Stecher; Matthias Pohl; Klaus Turowski (ECIS, 2020)

Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models. - Christian Haertel; Matthias Pohl; Sascha Bosse; Robert Häusler; Abdulrahman Nahhas; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (FEMIB, 2020)

Application of NLP to determine the State of Issues in Bug Tracking Systems. - Matthias Pohl; Ali Hashaam; Sascha Bosse; Daniel Gunnar Staegemann; Matthias Volk 002; Frederik Kramer; Klaus Turowski (ICDM (Workshops), 2020)

Classifying Big Data Taxonomies: A Systematic Literature Review. - Daniel Staegemann; Matthias Volk 002; Alexandra Grube; Johannes Hintsch; Sascha Bosse; Robert Häusler; Abdulrahman Nahhas; Matthias Pohl; Klaus Turowski (IoTBDS, 2020)

Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis. - Daniel Staegemann; Matthias Volk 002; Tuan Vu; Sascha Bosse; Robert Häusler; Abdulrahman Nahhas; Matthias Pohl; Klaus Turowski (IoTBDS, 2020)

Providing Clarity on Big Data Technologies: The BDTOnto Ontology. - Matthias Volk 002; Daniel Staegemann; Naoum Jamous; Matthias Pohl; Klaus Turowski (Int. J. Intell. Inf. Technol., 2020)

Applying Test Driven Development in the Big Data Domain - Lessons From the Literature. - Daniel Staegemann; Matthias Volk 002; Erik Lautenschläger; Matthias Pohl; Mohammad Abdallah; Klaus Turowski (ICIT, 2021)

A Concept for the Use of Chatbots to Provide the Public with Vital Information in Crisis Situations. - Daniel Staegemann; Matthias Volk 002; Christian Daase; Matthias Pohl; Klaus Turowski (ICICT (2), 2021)

A Preliminary Overview of the Situation in Big Data Testing. - Daniel Staegemann; Matthias Volk 002; Matthias Pohl; Robert Häusler; Abdulrahman Nahhas; Mohammad Abdallah; Klaus Turowski (IoTBDS, 2021)

Challenges in Data Acquisition and Management in Big Data Environments. - Daniel Staegemann; Matthias Volk 002; Akanksha Saxena; Matthias Pohl; Abdulrahman Nahhas; Robert Häusler; Mohammad Abdallah; Sascha Bosse; Naoum Jamous; Klaus Turowski (IoTBDS, 2021)

Comparative analysis of machine learning models for anomaly detection in manufacturing. - Andrey Kharitonov; Abdulrahman Nahhas; Matthias Pohl; Klaus Turowski (ISM, 2021)

Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures. - Christian Haertel; Matthias Pohl; Sascha Bosse; Robert Häusler; Abdulrahman Nahhas; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (Int. J. Organ. Collect. Intell., 2021)

The Performance Benefit of Data Analytics Applications. - Matthias Pohl; Daniel Gunnar Staegemann; Klaus Turowski (ANT/EDI40, 2022)

Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview. - Christian Haertel; Matthias Pohl; Daniel Staegemann; Klaus Turowski (IEEE Big Data, 2022)

Facilitating the Decentralisation of Software Development Projects from a Project Management Perspective: A Literature Review. - Sven Timmermann; Daniel Staegemann; Matthias Volk 002; Matthias Pohl; Christian Haertel; Johannes Hintsch; Klaus Turowski (FEMIB, 2022)

Toward A Lifecycle for Data Science: A Literature Review of Data Science Process Models. - Christian Haertel; Matthias Pohl; Abdulrahman Nahhas; Daniel Staegemann; Klaus Turowski (PACIS, 2022)

A Literature Review on the Challenges of Applying Test-Driven Development in Software Engineering. - Daniel Staegemann; Matthias Volk 002; Maneendra Perera; Christian Haertel; Matthias Pohl; Christian Daase; Klaus Turowski (Complex Syst. Informatics Model. Q., 2022)

The Linkage to Business Goals in Data Science Projects. - Matthias Pohl; Christian Haertel; Daniel Staegemann; Klaus Turowski (ACIS, 2023)

A Survey of Technology Selection Approaches in Data Science Projects. - Christian Haertel; Matthias Pohl; Abdulrahman Nahhas; Daniel Staegemann; Klaus Turowski (AMCIS, 2023)

Data Valuation Methods - A Literature Review. - Matthias Pohl; Christian Haertel; Daniel Staegemann; Klaus Turowski (AMCIS, 2023)

Achieving Competitive Advantages Through Situation-Aware Big Data Engineering - When (Not) to Use Test Driven Development. - Daniel Staegemann; Matthias Volk 002; Matthias Pohl; Christian Haertel; Naoum Jamous; Klaus Turowski (AMCIS, 2023)

MLOps in Data Science Projects: A Review. - Christian Haertel; Daniel Staegemann; Christian Daase; Matthias Pohl; Abdulrahman Nahhas; Klaus Turowski (IEEE Big Data, 2023)

Value Creation from Data Science Applications - A Literature Review. - Matthias Pohl; Christian Haertel; Klaus Turowski (BIR, 2023)

Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators. - Christian Haertel; Christian Daase; Daniel Staegemann; Abdulrahman Nahhas; Matthias Pohl; Klaus Turowski (KMIS, 2023)

Decentralised Autonomous Management of an Association Through Smart Contracts According to German Legislation. - Matthias Pohl; René Degenkolbe; Daniel Gunnar Staegemann; Klaus Turowski (ICEIS (1), 2023)

A Meta-Review on the Use of Artificial Intelligence in the Context of Electrical Power Grid Operators. - Daniel Staegemann; Christian Haertel; Christian Daase; Matthias Pohl; Klaus Turowski (ICINCO (1), 2023)

Contrasting the Necessary Skills of Leaders in Classical and Agile Software Development. - Daniel Staegemann; Natalie Schröder; Christian Daase; Christian Haertel; Matthias Pohl; Robert Häusler; Johannes Hintsch; Klaus Turowski (ISD, 2023)

An Overview of the Approaches for Generating Test Data in the Context of the Quality Assurance of Big Data Applications. - Daniel Staegemann; Matthias Pohl; Christian Haertel; Christian Daase; Mohammad Abdallah; Klaus Turowski (SITIS, 2023)

Challenges in Data Science Project Management: A Case Study in a European OEM. - Christian Haertel; Vincent Donat; Daniel Staegemann; Matthias Pohl; Klaus Turowski (AMCIS, 2024)

Toward Improved Knowledge Retention: A Template for Describing Data Science Projects. - Christian Haertel; Daniel Staegemann; Matthias Pohl; Christian Daase; Klaus Turowski (IEEE Big Data, 2024)

Categorization of Data Analytics Projects in Smart Manufacturing. - Matthias Pohl; Christian Haertel; Daniel Staegemann; Klaus Turowski (IEEE Big Data, 2024)

Data Lakehouse for Time Series Data: A Systematic Literature Review. - Matthias Pohl; Nathira Dharindri Wijemanne; Daniel Staegemann; Christian Haertel; Christian Daase; Dirk Dreschel; Damanpreet Singh Walia; Arne Osterthun; Joshua Reibert; Klaus Turowski (IEEE Big Data, 2024)

Customer Identity Management in Health Insurance with Blockchain Technology: A Literature Review. - Matthias Pohl; Hannah Giegold; Christian Haertel; Daniel Staegemann; Klaus Turowski (BIOSTEC (2), 2024)

A Methodology for Constructing Patterns for the Management of Data Science Projects. - Christian Haertel; Sarah Schramm; Matthias Pohl; Sascha Bosse; Daniel Staegemann; Christian Daase; Klaus Turowski (ICEIS (1), 2024)

Optimal Model Placement in Heterogeneous Edge AI Environments. - Bara Al-Bataineh; Marcus Paradies; Marta Dembska; Matthias Pohl (ISM, 2024)

Asynchronous I/O - With Great Power Comes Great Responsibility. - Constantin Pestka; Marcus Paradies; Matthias Pohl (CoRR, 2024)

FoxBench: Benchmark for n-Dimensional Array File Formats in Data Analytics Environments. - Arne Osterthun; Matthias Pohl (BTW, 2025)

A Review on Large Language Models and Generative AI in Banking. - Daniel Staegemann; Christian Haertel; Christian Daase; Matthias Pohl; Mohammad Abdallah; Klaus Turowski (FEMIB, 2025)

Examining the Impact of Cloud Computing on Organizational Performance: A Systematic Literature Review. - Vincent Donat; Christian Haertel; Daniel Staegemann; Christian Daase; Matthias Pohl; Dirk Dreschel; Damanpreet Singh Walia; Klaus Turowski (ICEIS (1), 2025)

Trusted Provenance with Blockchain Technology: A Systematic Literature Review. - Steven Kocadag; Matthias Pohl; Andreas Schreiber 001 (SWQD, 2025)