Lana Swartz

30 total papers · 1.2k total citations
15 papers, 672 citations indexed

About

Lana Swartz is a scholar working on Management Information Systems, Information Systems and Marketing. According to data from OpenAlex, Lana Swartz has authored 15 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Information Systems, 5 papers in Information Systems and 3 papers in Marketing. Recurrent topics in Lana Swartz's work include FinTech, Crowdfunding, Digital Finance (6 papers), Blockchain Technology Applications and Security (5 papers) and Music History and Culture (2 papers). Lana Swartz is often cited by papers focused on FinTech, Crowdfunding, Digital Finance (6 papers), Blockchain Technology Applications and Security (5 papers) and Music History and Culture (2 papers). Lana Swartz collaborates with scholars based in United States and United Kingdom. Lana Swartz's co-authors include Bill Maurer, Taylor C. Nelms, Scott Mainwaring, Brian Ekdale, Stephanie Edgerly, Emily K. Vraga, Chris Wells, Kjerstin Thorson, Kevin Driscoll and Andrew Schrock and has published in prestigious journals such as New Media & Society, Information Communication & Society and Theory Culture & Society.

In The Last Decade

Lana Swartz

15 papers receiving 596 citations

Hit Papers

“When perhaps the real pr... 2013 2026 2017 2021 2013 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Lana Swartz 344 281 182 79 77 15 672
Bruce R. Kingma 126 0.4× 333 1.2× 84 0.5× 202 2.6× 38 0.5× 26 785
Robin Pennington 102 0.3× 283 1.0× 139 0.8× 37 0.5× 57 0.7× 16 729
Clayton Arlen Looney 135 0.4× 146 0.5× 49 0.3× 36 0.5× 112 1.5× 36 596
Kun Shin Im 106 0.3× 137 0.5× 235 1.3× 67 0.8× 62 0.8× 15 755
Clay K. Williams 84 0.2× 273 1.0× 114 0.6× 30 0.4× 61 0.8× 17 561
Kholekile L. Gwebu 174 0.5× 216 0.8× 136 0.7× 54 0.7× 104 1.4× 23 743
Joan Mann 173 0.5× 103 0.4× 227 1.2× 17 0.2× 56 0.7× 13 557
Olga Morawczynski 278 0.8× 101 0.4× 155 0.9× 371 4.7× 31 0.4× 10 747
Tina M. Loraas 108 0.3× 263 0.9× 94 0.5× 31 0.4× 128 1.7× 24 732
Jijie Wang 57 0.2× 232 0.8× 78 0.4× 36 0.5× 75 1.0× 6 613

Countries citing papers authored by Lana Swartz

Since Specialization
Citations

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

Fields of papers citing papers by Lana Swartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lana Swartz

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