This map shows the geographic impact of Danny Weyns'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 Danny Weyns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Weyns more than expected).
This network shows the impact of papers produced by Danny Weyns. 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 Danny Weyns. The network helps show where Danny Weyns may publish in the future.
Co-authorship network of co-authors of Danny Weyns
This figure shows the co-authorship network connecting the top 25 collaborators of Danny Weyns.
A scholar is included among the top collaborators of Danny Weyns 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 Danny Weyns. Danny Weyns is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Weyns, Danny, Ilias Gerostathopoulos, Stefan Biffl, et al.. (2023). Self-Adaptation in Industry: A Survey. ACM Transactions on Autonomous and Adaptive Systems. 18(2). 1–44.18 indexed citations
Weyns, Danny, Viviana Mascardi, & Alessandro Ricci. (2019). Engineering Multi-Agent Systems 6th International Workshop, EMAS 2018, Stockholm, Sweden, July 14-15, 2018, Revised Selected Papers. CERN Document Server (European Organization for Nuclear Research).1 indexed citations
Weyns, Danny, H. Van Dyke Parunak, & Onn Shehory. (2009). The future of software engineering and multi-agent systems. 2(1). 369–377.6 indexed citations
10.
Labeeuw, Wouter, Kurt Driessens, Danny Weyns, Tom Holvoet, & Geert Deconinck. (2009). Prediction of Congested Traffic on the Critical Density Point Using Machine Learning and Decentralised Collaborating Cameras. Lirias (KU Leuven). 15–26.4 indexed citations
11.
Weyns, Danny, et al.. (2008). Towards a software product line for automated transportation systems. Lirias (KU Leuven). 105–118.4 indexed citations
12.
Weyns, Danny, et al.. (2007). Abstracts of Recent PhDs. The Knowledge Engineering Review. 22(4). 405–413.7 indexed citations
13.
Weyns, Danny, H. Van Dyke Parunak, & Fabien Michel. (2006). Environments for Multi-Agent Systems II: Second International Workshop, E4MAS 2005, Utrecht, The Netherlands, July 25, 2005, Selected Revised and Invited ... / Lecture Notes in Artificial Intelligence). Springer eBooks.7 indexed citations
14.
Mas, Erick, Danny Weyns, H. Van Dyke Parunak, & Fabien Michel. (2006). Environments for multi-agent systems II : Second International Workshop, E4MAS 2005, Utrecht, The Netherlands, July 25, 2005 : selected revised and invited papers. Springer eBooks.6 indexed citations
15.
Boucké, Nelis, et al.. (2005). Applying the architecture tradeoff analysis method (ATAM) to an industrial multi-agent system application. Lirias (KU Leuven).6 indexed citations
16.
Mas, Erick, Danny Weyns, H. Van Dyke Parunak, & Fabien Michel. (2005). Environments for multi-agent systems : first International Workshop, E4MAS 2004, New York, NY, July 19, 2004 : revised selected papers. Springer eBooks.6 indexed citations
Weyns, Danny, et al.. (2002). Look, Talk and Do: A Synchronization Scheme For Situated Multi-Agent.1 indexed citations
20.
Weyns, Danny, Eddy Truyen, & Pierre Verbaeten. (2002). Serialization of a distributed execution-state in Java. Lecture notes in computer science. 2591. 41–61.1 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.