Donald S. Tull

31 total papers · 2.0k total citations
27 papers, 1.3k citations indexed

About

Donald S. Tull is a scholar working on Marketing, Sociology and Political Science and Management Science and Operations Research. According to data from OpenAlex, Donald S. Tull has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Marketing, 2 papers in Sociology and Political Science and 2 papers in Management Science and Operations Research. Recurrent topics in Donald S. Tull's work include Consumer Market Behavior and Pricing (4 papers), Forecasting Techniques and Applications (2 papers) and Consumer Behavior in Brand Consumption and Identification (2 papers). Donald S. Tull is often cited by papers focused on Consumer Market Behavior and Pricing (4 papers), Forecasting Techniques and Applications (2 papers) and Consumer Behavior in Brand Consumption and Identification (2 papers). Donald S. Tull collaborates with scholars based in United States, Latvia and United Kingdom. Donald S. Tull's co-authors include Russell W. Belk, Paul E. Green, Gerald Albaum, Del I. Hawkins, Bruce L. Stern, Seymour Banks, Kristian S. Palda, Dale F. Duhan, James G. Helgeson and Kim R. Robertson and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Marketing and Journal of Marketing Research.

In The Last Decade

Donald S. Tull

24 papers receiving 1.0k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Donald S. Tull	483	251	218	195	186	27	1.3k
Niladri Syam	535 1.1×	230 0.9×	137 0.6×	235 1.2×	282 1.5×	26	1.1k
Martin Natter	708 1.5×	249 1.0×	191 0.9×	308 1.6×	180 1.0×	62	1.3k
Joel H. Steckel	633 1.3×	213 0.8×	236 1.1×	304 1.6×	289 1.6×	53	1.4k
Debanjan Mitra	571 1.2×	367 1.5×	152 0.7×	340 1.7×	384 2.1×	18	1.2k
Roger J. Best	519 1.1×	283 1.1×	167 0.8×	376 1.9×	194 1.0×	40	1.2k
Sönke Albers	527 1.1×	236 0.9×	253 1.2×	198 1.0×	291 1.6×	84	1.2k
Eva Martínez	361 0.7×	197 0.8×	172 0.8×	265 1.4×	351 1.9×	52	1.4k
Thomas Reutterer	824 1.7×	254 1.0×	259 1.2×	306 1.6×	128 0.7×	39	1.6k
Felix Eggers	436 0.9×	155 0.6×	281 1.3×	411 2.1×	401 2.2×	34	1.4k
Shumaila Naz	573 1.2×	223 0.9×	159 0.7×	186 1.0×	382 2.1×	29	1.3k

Countries citing papers authored by Donald S. Tull

Since Specialization

Citations

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

Fields of papers citing papers by Donald S. Tull

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donald S. Tull

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

All Works

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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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