David C. Young

759 total citations · 1 hit paper
3 papers, 571 citations indexed

About

David C. Young is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Infectious Diseases. According to data from OpenAlex, David C. Young has authored 3 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Cellular and Molecular Neuroscience, 1 paper in Cognitive Neuroscience and 0 papers in Infectious Diseases. Recurrent topics in David C. Young's work include Neurobiology and Insect Physiology Research (1 paper), Visual perception and processing mechanisms (1 paper) and Neural dynamics and brain function (1 paper). David C. Young is often cited by papers focused on Neurobiology and Insect Physiology Research (1 paper), Visual perception and processing mechanisms (1 paper) and Neural dynamics and brain function (1 paper). David C. Young collaborates with scholars based in United States. David C. Young's co-authors include F. B. Hildebrand and has published in prestigious journals such as Vision Research, The American Historical Review and American Mathematical Monthly.

In The Last Decade

David C. Young

3 papers receiving 463 citations

Hit Papers

Introduction to Numerical Analysis. 1957 2026 1980 2003 1957 100 200 300 400 500

Peers

David C. Young
Stephen F. Becker United States
Dirk Jacobs United Kingdom
Thomas Aird United Kingdom
G. L. Watson United Kingdom
Bertha Swirles United States
Samuel Schechter United States
Stephen F. Becker United States
David C. Young
Citations per year, relative to David C. Young David C. Young (= 1×) peers Stephen F. Becker

Countries citing papers authored by David C. Young

Since Specialization
Citations

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

Fields of papers citing papers by David C. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Young. 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 David C. Young. The network helps show where David C. Young may publish in the future.

Co-authorship network of co-authors of David C. Young

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

All Works

3 of 3 papers shown
1.
Young, David C., et al.. (1989). Donald G. Kyle. The American Historical Review. 94(1). 106–106. 1 indexed citations
2.
Young, David C.. (1981). Dark adaptation in five-year-old children and adults. Vision Research. 21(6). 811–814. 1 indexed citations
3.
Young, David C. & F. B. Hildebrand. (1957). Introduction to Numerical Analysis.. American Mathematical Monthly. 64(2). 128–128. 569 indexed citations breakdown →

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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