Duligur Ibeling

660 total citations
4 papers, 11 citations indexed

About

Duligur Ibeling is a scholar working on Artificial Intelligence, General Decision Sciences and Infectious Diseases. According to data from OpenAlex, Duligur Ibeling has authored 4 papers receiving a total of 11 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in General Decision Sciences and 0 papers in Infectious Diseases. Recurrent topics in Duligur Ibeling's work include Bayesian Modeling and Causal Inference (4 papers), Logic, Reasoning, and Knowledge (4 papers) and Semantic Web and Ontologies (2 papers). Duligur Ibeling is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), Logic, Reasoning, and Knowledge (4 papers) and Semantic Web and Ontologies (2 papers). Duligur Ibeling collaborates with scholars based in United States. Duligur Ibeling's co-authors include Thomas Icard and has published in prestigious journals such as Annals of Pure and Applied Logic, The Review of Symbolic Logic and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Duligur Ibeling

3 papers receiving 9 citations

Peers

Duligur Ibeling
P. Wilson United Kingdom
Duligur Ibeling
Citations per year, relative to Duligur Ibeling Duligur Ibeling (= 1×) peers P. Wilson

Countries citing papers authored by Duligur Ibeling

Since Specialization
Citations

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

Fields of papers citing papers by Duligur Ibeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duligur Ibeling

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

All Works

4 of 4 papers shown
1.
Ibeling, Duligur, et al.. (2023). Probing the quantitative–qualitative divide in probabilistic reasoning. Annals of Pure and Applied Logic. 175(9). 103339–103339. 6 indexed citations
2.
Ibeling, Duligur, et al.. (2022). IS CAUSAL REASONING HARDER THAN PROBABILISTIC REASONING?. The Review of Symbolic Logic. 17(1). 106–131. 1 indexed citations
3.
Ibeling, Duligur & Thomas Icard. (2020). Probabilistic Reasoning Across the Causal Hierarchy. Proceedings of the AAAI Conference on Artificial Intelligence. 34(6). 10170–10177. 3 indexed citations
4.
Ibeling, Duligur. (2018). Causal Modeling with Probabilistic Simulation Models.. 36–48. 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.

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