Daniel Anderson

About

Daniel Anderson is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Daniel Anderson has authored 6 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Computer Networks and Communications. Recurrent topics in Daniel Anderson’s work include Machine Learning and Algorithms (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Machine Learning and Data Classification (1 paper). Daniel Anderson is often cited by papers focused on Machine Learning and Algorithms (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Machine Learning and Data Classification (1 paper). Daniel Anderson collaborates with scholars based in United States, Germany and Australia. Daniel Anderson's co-authors include W. Michael Reed, John G. Wells, Pierre Le Bodic, Gregor Hendel and Marc E. Pfetsch and has published in prestigious journals such as Journal of Educational Computing Research, INFORMS journal on computing and Queue.

In The Last Decade

Co-authorship network of co-authors of Daniel Anderson

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

Fields of papers citing papers by Daniel Anderson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Anderson

Since Specialization

Citations

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