Jennifer Tann

99 total papers · 1.3k total citations
59 papers, 796 citations indexed

About

Jennifer Tann is a scholar working on Economics and Econometrics, Strategy and Management and History and Philosophy of Science. According to data from OpenAlex, Jennifer Tann has authored 59 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 7 papers in Strategy and Management and 7 papers in History and Philosophy of Science. Recurrent topics in Jennifer Tann's work include Historical Economic and Social Studies (8 papers), Historical Studies and Socio-cultural Analysis (6 papers) and Innovation and Knowledge Management (5 papers). Jennifer Tann is often cited by papers focused on Historical Economic and Social Studies (8 papers), Historical Studies and Socio-cultural Analysis (6 papers) and Innovation and Knowledge Management (5 papers). Jennifer Tann collaborates with scholars based in United Kingdom, United States and Gibraltar. Jennifer Tann's co-authors include Sylvie Laforet, Anthony King, Gharib Hashem, Martin Daunton, Adrian E. Platts, Jeremy C. Stein, Christine MacLeod, Alison Blenkinsopp, Dong Zhu and Amanda Evans and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Historical Review and Organization Studies.

In The Last Decade

Jennifer Tann

54 papers receiving 664 citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer Tann 231 213 151 110 66 59 796
Graţiela Georgiana Noja 235 1.0× 151 0.7× 38 0.3× 82 0.7× 20 0.3× 60 709
Felicity Kelliher 66 0.3× 229 1.1× 205 1.4× 180 1.6× 196 3.0× 53 708
Sam Fullerton 81 0.4× 187 0.9× 90 0.6× 210 1.9× 169 2.6× 51 763
Yanlong Zhang 132 0.6× 302 1.4× 109 0.7× 167 1.5× 129 2.0× 30 793
Harper W. Boyd 91 0.4× 188 0.9× 73 0.5× 211 1.9× 161 2.4× 63 892
Hani El-Chaarani 244 1.1× 178 0.8× 92 0.6× 64 0.6× 87 1.3× 68 725
Charles McMillan 84 0.4× 237 1.1× 46 0.3× 114 1.0× 194 2.9× 39 741
Fernanda Maciel Reichert 190 0.8× 389 1.8× 169 1.1× 124 1.1× 66 1.0× 32 947
Leonard Lynn 227 1.0× 395 1.9× 165 1.1× 95 0.9× 62 0.9× 53 784
Mirjana Radović-Markovič 152 0.7× 109 0.5× 191 1.3× 153 1.4× 84 1.3× 89 781

Countries citing papers authored by Jennifer Tann

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Tann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Tann

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