Christine Pitt

52 total papers · 749 total citations
24 papers, 506 citations indexed

About

Christine Pitt is a scholar working on Sociology and Political Science, Marketing and Artificial Intelligence. According to data from OpenAlex, Christine Pitt has authored 24 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 8 papers in Marketing and 5 papers in Artificial Intelligence. Recurrent topics in Christine Pitt's work include Digital Marketing and Social Media (9 papers), Consumer Behavior in Brand Consumption and Identification (6 papers) and Customer Service Quality and Loyalty (5 papers). Christine Pitt is often cited by papers focused on Digital Marketing and Social Media (9 papers), Consumer Behavior in Brand Consumption and Identification (6 papers) and Customer Service Quality and Loyalty (5 papers). Christine Pitt collaborates with scholars based in Sweden, Canada and United States. Christine Pitt's co-authors include Jan Kietzmann, Kirk Plangger, Elsamari Botha, Leyland Pitt, Adam J. Mills, Sarah Lord Ferguson, Anjali Bal, João J. Ferreira, Michael S. Mulvey and Pierre Berthon and has published in prestigious journals such as Journal of Business Research, Industrial Marketing Management and European Journal of Marketing.

In The Last Decade

Christine Pitt

22 papers receiving 479 citations

Author Peers

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

Author						Papers	Cites
Christine Pitt	234	119	96	84	84	24	506
Oliver Müller	196 0.8×	198 1.7×	60 0.6×	48 0.6×	103 1.2×	23	530
Emily Treen	226 1.0×	136 1.1×	115 1.2×	38 0.5×	55 0.7×	19	476
Eli Sumarliah	136 0.6×	105 0.9×	114 1.2×	47 0.6×	67 0.8×	28	474
Fadi Abdel Muniem Abdel Fattah	181 0.8×	147 1.2×	61 0.6×	107 1.3×	65 0.8×	28	460
Fintan Clear	159 0.7×	62 0.5×	70 0.7×	78 0.9×	107 1.3×	12	480
María Teresa Ballestar	172 0.7×	158 1.3×	56 0.6×	50 0.6×	48 0.6×	21	590
Imran Khan	169 0.7×	155 1.3×	63 0.7×	85 1.0×	58 0.7×	29	577
Karine Aoun Barakat	323 1.4×	202 1.7×	69 0.7×	70 0.8×	56 0.7×	20	600
Angela‐Eliza Micu	232 1.0×	150 1.3×	90 0.9×	51 0.6×	51 0.6×	52	531
Caitlin Ferreira	155 0.7×	128 1.1×	58 0.6×	70 0.8×	41 0.5×	35	540

Countries citing papers authored by Christine Pitt

Since Specialization

Citations

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

Fields of papers citing papers by Christine Pitt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Pitt

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