Philip A. Titus

17 total papers · 664 total citations
14 papers, 444 citations indexed

About

Philip A. Titus is a scholar working on Management of Technology and Innovation, Marketing and Experimental and Cognitive Psychology. According to data from OpenAlex, Philip A. Titus has authored 14 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management of Technology and Innovation, 5 papers in Marketing and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Philip A. Titus's work include Management and Marketing Education (8 papers), Creativity in Education and Neuroscience (4 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Philip A. Titus is often cited by papers focused on Management and Marketing Education (8 papers), Creativity in Education and Neuroscience (4 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Philip A. Titus collaborates with scholars based in United States and Netherlands. Philip A. Titus's co-authors include Peter Everett, Susan M. Petroshius, Stephen J. Newell, Rik Pieters and Dwayne D. Gremler and has published in prestigious journals such as Journal of the Academy of Marketing Science, Psychology and Marketing and International Journal of Research in Marketing.

In The Last Decade

Philip A. Titus

14 papers receiving 371 citations

Author Peers

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

Author						Papers	Cites
Philip A. Titus	220	115	88	87	61	14	444
Ed Petkus	119 0.5×	108 0.9×	115 1.3×	84 1.0×	45 0.7×	17	434
Shannon Cummins	161 0.7×	169 1.5×	77 0.9×	113 1.3×	97 1.6×	16	420
Faye S. McIntyre	88 0.4×	77 0.7×	64 0.7×	134 1.5×	51 0.8×	28	455
Stephen F. Pirog	208 0.9×	64 0.6×	70 0.8×	46 0.5×	47 0.8×	17	447
Donna T. Mayo	80 0.4×	152 1.3×	123 1.4×	124 1.4×	41 0.7×	16	383
Su-Chang Chen	64 0.3×	147 1.3×	126 1.4×	130 1.5×	41 0.7×	30	398
Laura Hamer	185 0.8×	149 1.3×	108 1.2×	186 2.1×	62 1.0×	19	453
Nancy McIntyre	52 0.2×	114 1.0×	55 0.6×	164 1.9×	24 0.4×	15	470
Eda Gürel	60 0.3×	320 2.8×	94 1.1×	173 2.0×	47 0.8×	10	482
Charles M. Hermans	237 1.1×	27 0.2×	51 0.6×	55 0.6×	31 0.5×	18	417

Countries citing papers authored by Philip A. Titus

Since Specialization

Citations

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

Fields of papers citing papers by Philip A. Titus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip A. Titus. 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 Philip A. Titus. The network helps show where Philip A. Titus may publish in the future.

Co-authorship network of co-authors of Philip A. Titus

This figure shows the co-authorship network connecting the top 25 collaborators of Philip A. Titus. A scholar is included among the top collaborators of Philip A. Titus 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 Philip A. Titus. Philip A. Titus 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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