Marcel Dekker

About

Marcel Dekker is a scholar working on Artificial Intelligence, Industrial relations and Aerospace Engineering. According to data from OpenAlex, Marcel Dekker has authored 2 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 0 papers in Industrial relations and 0 papers in Aerospace Engineering. Recurrent topics in Marcel Dekker’s work include Bayesian Methods and Mixture Models (1 paper). Marcel Dekker is often cited by papers focused on Bayesian Methods and Mixture Models (1 paper). Marcel Dekker collaborates with scholars based in and . Marcel Dekker's co-authors include Bruce G. Lindsay and K. E. Basford and has published in prestigious journals such as Journal of the American Statistical Association and Journal of Macromolecular Science Part A - Chemistry.

In The Last Decade

Co-authorship network of co-authors of Marcel Dekker i

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Fields of papers citing papers by Marcel Dekker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marcel Dekker

Since Specialization

Citations

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