Donald Bamber

26 papers and 1.7k indexed citations i.

About

Donald Bamber is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Donald Bamber has authored 26 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Cognitive Neuroscience and 5 papers in Computational Theory and Mathematics. Recurrent topics in Donald Bamber’s work include Bayesian Modeling and Causal Inference (11 papers), Logic, Reasoning, and Knowledge (7 papers) and Memory Processes and Influences (4 papers). Donald Bamber is often cited by papers focused on Bayesian Modeling and Causal Inference (11 papers), Logic, Reasoning, and Knowledge (7 papers) and Memory Processes and Influences (4 papers). Donald Bamber collaborates with scholars based in United States and Germany. Donald Bamber's co-authors include Jan P. H. van Santen, Victor Manifold, David M. Riefer, William H. Batchelder, Geoffrey R. Loftus, I. R. Goodman, Hung T. Nguyen, F. Gregory Ashby, Hung T. Nguyen and Kimberly A. Jameson and has published in prestigious journals such as Journal of Experimental Psychology Learning Memory and Cognition, Information Sciences and Psychological Assessment.

In The Last Decade

Co-authorship network of co-authors of Donald Bamber i

Fields of papers citing papers by Donald Bamber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Donald Bamber

Since Specialization
Citations

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

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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2025