Countries citing papers authored by Jacques Wainer
Since
Specialization
Citations
This map shows the geographic impact of Jacques Wainer'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 Jacques Wainer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Wainer more than expected).
This network shows the impact of papers produced by Jacques Wainer. 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 Jacques Wainer. The network helps show where Jacques Wainer may publish in the future.
Co-authorship network of co-authors of Jacques Wainer
This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Wainer.
A scholar is included among the top collaborators of Jacques Wainer 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 Jacques Wainer. Jacques Wainer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Júnior, Pedro Ribeiro Mendes, Terrance E. Boult, Jacques Wainer, & Anderson Rocha. (2021). Open-Set Support Vector Machines. IEEE Transactions on Systems Man and Cybernetics Systems. 52(6). 3785–3798.18 indexed citations
4.
Wainer, Jacques & Gavin C. Cawley. (2017). Empirical evaluation of resampling procedures for optimising SVM hyperparameters. Journal of Machine Learning Research. 18(1). 475–509.20 indexed citations
Jelinek, Herbert F., et al.. (2013). Quality control and multi-lesion detection in automated retinopathy classification using a visual words dictionary. 5857–5860.5 indexed citations
9.
Wainer, Jacques, et al.. (2012). A Dynamic Threshold Algorithm for Anomaly Detection in Logs of Process Aware Systems. Journal of Information and Data Management. 3(3). 316–331.9 indexed citations
Wainer, Jacques, et al.. (2010). Ethnic Digital Exclusion in Brazil: National and Regional Data from 2001 to 2004. Information Technologies and International Development. 6(1). 34–47.
12.
Wainer, Jacques, et al.. (2008). HPB: A Model for Handling BN Nodes with High Cardinality Parents. Journal of Machine Learning Research. 9(70). 2141–2170.5 indexed citations
13.
Wainer, Jacques, et al.. (2007). Using a hierarchical Bayesian model to handle high cardinality attributes with relevant interactions in a classification problem. International Joint Conference on Artificial Intelligence. 2504–2509.4 indexed citations
14.
Wainer, Jacques, et al.. (2002). St-Guide: A State/Transition Representation Model for Clinical Guidelines. PubMed Central.1 indexed citations
15.
Ellis, Colter, et al.. (2000). CORBA Based Architecture for Large Scale Workflow. IEICE Transactions on Communications. 83(5). 988–998.5 indexed citations
16.
Geffner, Héctor & Jacques Wainer. (1998). Modeling Action, Knowledge and Control.. European Conference on Artificial Intelligence. 532–536.15 indexed citations
Wainer, Jacques, et al.. (1996). Preferential multi-agent nonmonotonic logics: preliminary report. Principles of Knowledge Representation and Reasoning. 446–452.1 indexed citations
19.
Wainer, Jacques. (1994). Yet another semantics of goals and goal priorities. European Conference on Artificial Intelligence. 269–273.4 indexed citations
20.
Wainer, Jacques. (1993). Epistemic extension of propositional preference logics. International Joint Conference on Artificial Intelligence. 382–387.3 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.