This map shows the geographic impact of Adam Wyner'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 Adam Wyner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Wyner more than expected).
This network shows the impact of papers produced by Adam Wyner. 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 Adam Wyner. The network helps show where Adam Wyner may publish in the future.
Co-authorship network of co-authors of Adam Wyner
This figure shows the co-authorship network connecting the top 25 collaborators of Adam Wyner.
A scholar is included among the top collaborators of Adam Wyner 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 Adam Wyner. Adam Wyner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nazarenko, Adeline, François Lévy, & Adam Wyner. (2018). An Annotation Language for Semantic Search of Legal Sources.. SPIRE - Sciences Po Institutional REpository.2 indexed citations
5.
Straß, Hannes & Adam Wyner. (2017). On Automated Defeasible Reasoning with Controlled Natural Language and Argumentation.. National Conference on Artificial Intelligence. 765–773.4 indexed citations
6.
Lin, Chenghua, et al.. (2017). Extracting and Understanding Contrastive Opinion through Topic Relevant Sentences.. International Joint Conference on Natural Language Processing. 2. 395–400.4 indexed citations
7.
Wyner, Adam, et al.. (2016). Passing a USA national bar exam: A first corpus for experimentation. Language Resources and Evaluation. 3373–3378.3 indexed citations
8.
Peters, Wim & Adam Wyner. (2016). Legal text interpretation: Identifying Hohfeldian relations from text. Language Resources and Evaluation. 379–384.7 indexed citations
Atkinson, Katie, Henry Prakken, & Adam Wyner. (2013). From Knowledge Representation to Argumentation in AI, Law and Policy Making. a Festscrift in Honour of Trevor Bench-Capon on the Occasion of His 60th.4 indexed citations
11.
Wyner, Adam & Guido Governatori. (2013). A Study on Translating Regulatory Rules from Natural Language to Defeasible Logic. Cronfa (Swansea University).5 indexed citations
Wyner, Adam & Jodi Schneider. (2012). Arguing from a point of view. Cronfa (Swansea University). 918. 153–167.7 indexed citations
15.
Wyner, Adam. (2010). Towards Annotating and Extracting Textual Legal Case Elements. Cronfa (Swansea University). 173–183.6 indexed citations
16.
Wyner, Adam & T.M. van Engers. (2010). Web-based Mass Argumentation in Natural Language. Cronfa (Swansea University).1 indexed citations
17.
Wyner, Adam, Trevor Bench‐Capon, & Paul E. Dunne. (2009). Instantiating Knowledge Bases in Abstract Argumentation Frameworks. National Conference on Artificial Intelligence.4 indexed citations
18.
Wyner, Adam & Trevor Bench‐Capon. (2008). Modelling Judicial Context in Argumentation Frameworks. Cronfa (Swansea University). 417–428.1 indexed citations
19.
Wyner, Adam & Trevor Bench‐Capon. (2007). Argument Schemes for Legal Case-based Reasoning. 139–149.33 indexed citations
20.
Wyner, Adam, Trevor Bench‐Capon, & Katie Atkinson. (2007). Arguments, Values and Baseballs: Representation of Popov v. Hayashi. 59(17). 151–160.19 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.