Joana Hois

632 total citations
15 papers, 241 citations indexed

About

Joana Hois is a scholar working on Artificial Intelligence, Computer Networks and Communications and Geography, Planning and Development. According to data from OpenAlex, Joana Hois has authored 15 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Geography, Planning and Development. Recurrent topics in Joana Hois's work include Semantic Web and Ontologies (8 papers), Geographic Information Systems Studies (5 papers) and Constraint Satisfaction and Optimization (3 papers). Joana Hois is often cited by papers focused on Semantic Web and Ontologies (8 papers), Geographic Information Systems Studies (5 papers) and Constraint Satisfaction and Optimization (3 papers). Joana Hois collaborates with scholars based in Germany, United Kingdom and Netherlands. Joana Hois's co-authors include John Bateman, Robert Ross, Thora Tenbrink, Oliver Kutz, Mehul Bhatt, T. Schneider, Marie‐Francine Moens, Christoph Zetzsche, Kerstin Schill and Martijn van Otterlo and has published in prestigious journals such as Artificial Intelligence, Fuzzy Sets and Systems and Cognitive Science.

In The Last Decade

Joana Hois

14 papers receiving 224 citations

Peers

Joana Hois
Ingmar Rauschert United States
Jeffrey Usher United States
Anders Bouwer Netherlands
Dan Tecuci United States
Srinivasan Janarthanam United Kingdom
Joana Hois
Citations per year, relative to Joana Hois Joana Hois (= 1×) peers Wolfgang Wahlster

Countries citing papers authored by Joana Hois

Since Specialization
Citations

This map shows the geographic impact of Joana Hois'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 Joana Hois with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joana Hois more than expected).

Fields of papers citing papers by Joana Hois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joana Hois. 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 Joana Hois. The network helps show where Joana Hois may publish in the future.

Co-authorship network of co-authors of Joana Hois

This figure shows the co-authorship network connecting the top 25 collaborators of Joana Hois. A scholar is included among the top collaborators of Joana Hois 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 Joana Hois. Joana Hois is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Schneider, T., et al.. (2023). Don’t fail me! The Level 5 Autonomous Driving Information Dilemma regarding Transparency and User Experience. RADAR (Glasgow School of Art). 540–552. 8 indexed citations
2.
Ross, Robert, Joana Hois, & John D. Kelleher. (2021). Proceedings of the Workshop on Computational Models of Spatial Language Interpretation at Spatial Cognition 2010 (COSLI-2010).. Arrow - TU Dublin (Technological University Dublin).
3.
Schneider, T., et al.. (2021). Velocity Styles for Autonomous Vehicles affecting Control, Safety, and User Experience. 1–2. 1 indexed citations
4.
Schneider, T., et al.. (2021). ExplAIn Yourself! Transparency for Positive UX in Autonomous Driving. 1–12. 45 indexed citations
5.
Bhatt, Mehul, Joana Hois, & Oliver Kutz. (2012). Ontological modelling of form and function for architectural design. Applied Ontology. 7(3). 233–267. 42 indexed citations
6.
Kutz, Oliver & Joana Hois. (2012). Modularity in ontologies. Applied Ontology. 7(2). 109–112. 6 indexed citations
7.
Kordjamshidi, Parisa, Joana Hois, Martijn van Otterlo, & Marie‐Francine Moens. (2011). Machine learning for interpretation of spatial natural language in terms of QSR. Lirias (KU Leuven). 1–5. 7 indexed citations
8.
Hois, Joana, Robert Ross, John D. Kelleher, & John Bateman. (2011). Workshop on Computational Models of Spatial Language Interpretation -- CoSLI-2 in conjunction with CogSci 2011. Cognitive Science. 33(33). 1 indexed citations
9.
Hois, Joana. (2010). Inter-Annotator Agreement on a Linguistic Ontology for Spatial Language - A Case Study for GUM-Space.. Language Resources and Evaluation. 2 indexed citations
10.
Bateman, John, Joana Hois, Robert Ross, & Thora Tenbrink. (2010). A linguistic ontology of space for natural language processing. Artificial Intelligence. 174(14). 1027–1071. 114 indexed citations
11.
Hois, Joana. (2009). A Semantic Framework for Uncertainties in Ontologies. The Florida AI Research Society. 70(1-2). 35–42. 1 indexed citations
13.
Kehagias, Dionysios, Ioannis Papadimitriou, Joana Hois, Dimitrios Tzovaras, & John Bateman. (2008). 1 A Methodological Approach for Ontology Evaluation and Refinement. 5 indexed citations
14.
Castro, Leyla Jael, et al.. (2008). Ontologizing Metadata for Assistive Technologies - The OASIS Repository. 7. 57–62. 2 indexed citations
15.
Schill, Kerstin, Christoph Zetzsche, & Joana Hois. (2008). A belief-based architecture for scene analysis: From sensorimotor features to knowledge and ontology. Fuzzy Sets and Systems. 160(10). 1507–1516. 6 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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