From Developer Networks to Verified Communities: A Fine-Grained Approach. - Mitchell Joblin; Wolfgang Mauerer; Sven Apel; Janet Siegmund; Dirk Riehle (ICSE (1), 2015)

An Interactive Survey Application for Validating Social Network Analysis Techniques. - Mitchell Joblin; Wolfgang Mauerer (R J., 2016)

Classifying developers into core and peripheral: an empirical study on count and network metrics. - Mitchell Joblin; Sven Apel; Claus Hunsen; Wolfgang Mauerer (ICSE, 2017)

Evolutionary trends of developer coordination: a network approach. - Mitchell Joblin; Sven Apel; Wolfgang Mauerer (Empir. Softw. Eng., 2017)

Structural and Evolutionary Analysis of Developer Networks. - Mitchell Joblin (2017)

A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context. - Marcel Hildebrandt; Swathi Shyam Sunder; Serghei Mogoreanu; Mitchell Joblin; Akhil Mehta; Ingo Thon; Volker Tresp (ESWC, 2019)

Reasoning on Knowledge Graphs with Debate Dynamics. - Marcel Hildebrandt; Jorge Andres Quintero Serna; Yunpu Ma; Martin Ringsquandl; Mitchell Joblin; Volker Tresp (AAAI, 2020)

Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs. - Marcel Hildebrandt; Jorge Andres Quintero Serna; Yunpu Ma; Martin Ringsquandl; Mitchell Joblin; Volker Tresp (CoRR, 2020)

Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing. - Yushan Liu 002; Marcel Hildebrandt; Mitchell Joblin; Martin Ringsquandl; Volker Tresp (CoRR, 2020)

Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids. - Martin Ringsquandl; Houssem Sellami; Marcel Hildebrandt; Dagmar Beyer; Sylwia Henselmeyer; Sebastian Weber; Mitchell Joblin (CIKM, 2021)

Generating Table Vector Representations. - Aneta Koleva; Martin Ringsquandl; Mitchell Joblin; Volker Tresp (DL4KG@ISWC, 2021)

Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs. - Yushan Liu 002; Marcel Hildebrandt; Mitchell Joblin; Martin Ringsquandl; Rime Raissouni; Volker Tresp (ESWC, 2021)

Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining. - Christof Tinnes; Timo Kehrer; Mitchell Joblin; Uwe Hohenstein; Andreas Biesdorf; Sven Apel (ASE, 2021)

A New Concept for Explaining Graph Neural Networks. - Anna Himmelhuber; Sonja Zillner; Stephan Grimm; Martin Ringsquandl; Mitchell Joblin; Thomas A. Runkler (NeSy, 2021)

Demystifying Graph Neural Network Explanations. - Anna Himmelhuber; Mitchell Joblin; Martin Ringsquandl; Thomas A. Runkler (PKDD/ECML Workshops (1), 2021)

Combining Sub-symbolic and Symbolic Methods for Explainability. - Anna Himmelhuber; Stephan Grimm; Sonja Zillner; Mitchell Joblin; Martin Ringsquandl; Thomas A. Runkler (RuleML+RR, 2021)

In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study. - Wolfgang Mauerer; Mitchell Joblin; Damian Andrew Tamburri; Carlos V. Paradis; Rick Kazman; Sven Apel (Zenodo, 2021)

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. - Yushan Liu 002; Yunpu Ma; Marcel Hildebrandt; Mitchell Joblin; Volker Tresp (AAAI, 2022)

On Calibration of Graph Neural Networks for Node Classification. - Tong Liu 019; Yushan Liu 002; Marcel Hildebrandt; Mitchell Joblin; Hang Li 010; Volker Tresp (IJCNN, 2022)

Synchronous development in open-source projects: A higher-level perspective. - Thomas Bock; Claus Hunsen; Mitchell Joblin; Sven Apel (Autom. Softw. Eng., 2022)

Task-driven knowledge graph filtering improves prioritizing drugs for repurposing. - Florin Ratajczak; Mitchell Joblin; Martin Ringsquandl; Marcel Hildebrandt (BMC Bioinform., 2022)

How Do Successful and Failed Projects Differ? A Socio-Technical Analysis. - Mitchell Joblin; Sven Apel (ACM Trans. Softw. Eng. Methodol., 2022)

In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study. - Wolfgang Mauerer; Mitchell Joblin; Damian A. Tamburri; Carlos V. Paradis; Rick Kazman; Sven Apel (IEEE Trans. Software Eng., 2022)

Combining Sub-Symbolic and Symbolic Methods for Explainability. - Anna Himmelhuber; Stephan Grimm; Mitchell Joblin; Sonja Zillner; Thomas A. Runkler (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Hierarchical and Hybrid Organizational Structures in Open-source Software Projects: A Longitudinal Study. - Mitchell Joblin; Barbara Eckl; Thomas Bock; Angelika Schmid; Janet Siegmund; Sven Apel (ACM Trans. Softw. Eng. Methodol., 2023)

Mining domain-specific edit operations from model repositories with applications to semantic lifting of model differences and change profiling. - Christof Tinnes; Timo Kehrer; Mitchell Joblin; Uwe Hohenstein; Andreas Biesdorf; Sven Apel (Autom. Softw. Eng., 2023)

Automatic Core-Developer Identification on GitHub: A Validation Study. - Thomas Bock; Nils Alznauer; Mitchell Joblin; Sven Apel (ACM Trans. Softw. Eng. Methodol., 2023)

Prioritizing Test Gaps by Risk in Industrial Practice: An Automated Approach and Multimethod Study. - Roman Haas; Michael Sailer; Mitchell Joblin; Elmar Juergens; Sven Apel (IEEE Trans. Software Eng., 2025)

Is perceived gender related to contributions and standing in open-source software projects? - Christian Hechtl; Mitchell Joblin; Sven Apel (Empir. Softw. Eng., 2025)