Mitchell Joblin

634 total citations
19 papers, 299 citations indexed

About

Mitchell Joblin is a scholar working on Information Systems, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Mitchell Joblin has authored 19 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 8 papers in Computer Science Applications and 5 papers in Artificial Intelligence. Recurrent topics in Mitchell Joblin's work include Software Engineering Research (10 papers), Open Source Software Innovations (8 papers) and Software Engineering Techniques and Practices (4 papers). Mitchell Joblin is often cited by papers focused on Software Engineering Research (10 papers), Open Source Software Innovations (8 papers) and Software Engineering Techniques and Practices (4 papers). Mitchell Joblin collaborates with scholars based in Germany, United States and Switzerland. Mitchell Joblin's co-authors include Sven Apel, Wolfgang Mauerer, Marcel Hildebrandt, Volker Tresp, Yunpu Ma, Yushan Liu, Martin Ringsquandl, Janet Siegmund, Dirk Riehle and Rick Kazman and has published in prestigious journals such as Nature Communications, BMC Bioinformatics and International Journal of Environmental Research and Public Health.

In The Last Decade

Mitchell Joblin

19 papers receiving 293 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mitchell Joblin Germany 9 164 116 113 28 24 19 299
Matthew B. Koll United States 8 253 1.5× 102 0.9× 271 2.4× 13 0.5× 22 0.9× 13 411
Ba-Quy Vuong Singapore 9 191 1.2× 70 0.6× 147 1.3× 203 7.3× 54 2.3× 9 385
Daniel Tunkelang United States 6 123 0.8× 25 0.2× 131 1.2× 10 0.4× 28 1.2× 16 293
Michael Meire Belgium 8 84 0.5× 167 1.4× 141 1.2× 15 0.5× 6 0.3× 14 254
Senthil Mani India 12 373 2.3× 90 0.8× 133 1.2× 26 0.9× 6 0.3× 37 449
Wisam Dakka United States 7 179 1.1× 21 0.2× 239 2.1× 39 1.4× 22 0.9× 9 332
Moritz Schubotz Germany 11 117 0.7× 38 0.3× 168 1.5× 12 0.4× 9 0.4× 52 362
Young-In Song South Korea 14 442 2.7× 123 1.1× 609 5.4× 26 0.9× 28 1.2× 41 745
Maurice Coyle Ireland 9 341 2.1× 49 0.4× 103 0.9× 32 1.1× 4 0.2× 22 404
Daniel M. Herzig Germany 9 111 0.7× 43 0.4× 201 1.8× 6 0.2× 20 0.8× 16 252

Countries citing papers authored by Mitchell Joblin

Since Specialization
Citations

This map shows the geographic impact of Mitchell Joblin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mitchell Joblin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Joblin more than expected).

Fields of papers citing papers by Mitchell Joblin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell Joblin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mitchell Joblin. The network helps show where Mitchell Joblin may publish in the future.

Co-authorship network of co-authors of Mitchell Joblin

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell Joblin. A scholar is included among the top collaborators of Mitchell Joblin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mitchell Joblin. Mitchell Joblin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Joblin, Mitchell, et al.. (2023). Speos: an ensemble graph representation learning framework to predict core gene candidates for complex diseases. Nature Communications. 14(1). 7206–7206. 13 indexed citations
2.
3.
Joblin, Mitchell, et al.. (2023). Automatic Core-Developer Identification on GitHub: A Validation Study. ACM Transactions on Software Engineering and Methodology. 32(6). 1–29. 6 indexed citations
4.
Joblin, Mitchell, et al.. (2022). Task-driven knowledge graph filtering improves prioritizing drugs for repurposing. BMC Bioinformatics. 23(1). 84–84. 10 indexed citations
5.
Liu, Tong, et al.. (2022). On Calibration of Graph Neural Networks for Node Classification. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 1 indexed citations
6.
Joblin, Mitchell, et al.. (2022). Hierarchical and Hybrid Organizational Structures in Open-source Software Projects: A Longitudinal Study. ACM Transactions on Software Engineering and Methodology. 32(4). 1–29. 5 indexed citations
7.
Joblin, Mitchell & Sven Apel. (2022). How Do Successful and Failed Projects Differ? A Socio-Technical Analysis. ACM Transactions on Software Engineering and Methodology. 31(4). 1–24. 10 indexed citations
8.
Liu, Yushan, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, & Volker Tresp. (2022). TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 4120–4127. 66 indexed citations
9.
Zillner, Sonja, et al.. (2021). A New Concept for Explaining Graph Neural Networks.. 1–5. 1 indexed citations
10.
Ringsquandl, Martin, et al.. (2021). Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids. arXiv (Cornell University). 1 indexed citations
11.
El‐Khatib, Ziad, et al.. (2021). Data-Powered Positive Deviance during the SARS-CoV-2 Pandemic—An Ecological Pilot Study of German Districts. International Journal of Environmental Research and Public Health. 18(18). 9765–9765. 3 indexed citations
12.
Joblin, Mitchell, et al.. (2021). Synchronous development in open-source projects: A higher-level perspective. Automated Software Engineering. 29(1). 3 indexed citations
13.
Kehrer, Timo, et al.. (2021). Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining. 930–942. 6 indexed citations
14.
Mauerer, Wolfgang, et al.. (2021). In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study. IEEE Transactions on Software Engineering. 48(8). 3159–3184. 16 indexed citations
15.
Hildebrandt, Marcel, et al.. (2020). Reasoning on Knowledge Graphs with Debate Dynamics. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 4123–4131. 23 indexed citations
16.
Joblin, Mitchell, et al.. (2017). Classifying Developers into Core and Peripheral: An Empirical Study on Count and Network Metrics. 164–174. 62 indexed citations
17.
Joblin, Mitchell & Wolfgang Mauerer. (2016). An Interactive Survey Application for Validating Social Network Analysis Techniques. The R Journal. 8(1). 149–149. 1 indexed citations
18.
Joblin, Mitchell, Sven Apel, & Wolfgang Mauerer. (2016). Evolutionary trends of developer coordination: a network approach. Empirical Software Engineering. 22(4). 2050–2094. 29 indexed citations
19.
Joblin, Mitchell, Wolfgang Mauerer, Sven Apel, Janet Siegmund, & Dirk Riehle. (2015). From Developer Networks to Verified Communities: A Fine-Grained Approach. 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering. 563–573. 40 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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