John M. Tchernev

24 total papers · 985 total citations
14 papers, 677 citations indexed

About

John M. Tchernev is a scholar working on Literature and Literary Theory, Communication and Gender Studies. According to data from OpenAlex, John M. Tchernev has authored 14 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Literature and Literary Theory, 6 papers in Communication and 6 papers in Gender Studies. Recurrent topics in John M. Tchernev's work include Media Influence and Health (12 papers), Media, Gender, and Advertising (6 papers) and Media Studies and Communication (4 papers). John M. Tchernev is often cited by papers focused on Media Influence and Health (12 papers), Media, Gender, and Advertising (6 papers) and Media Studies and Communication (4 papers). John M. Tchernev collaborates with scholars based in United States, Australia and Germany. John M. Tchernev's co-authors include Zheng Wang, Tyler Solloway, Zheng Wang, Zheng Wang, Emily Moyer‐Gusé, Michael D. Slater, Ji Young Lee, R. Lance Holbert, Raymond J. Pingree and Mary Beth Oliver and has published in prestigious journals such as Computers in Human Behavior, Journal of Communication and Communication Research.

In The Last Decade

John M. Tchernev

14 papers receiving 635 citations

Hit Papers

The “Myth” of Media Multi... 2012 2026 2016 2021 2012 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
John M. Tchernev 434 213 168 110 110 14 677
Jang Ho Moon 511 1.2× 121 0.6× 124 0.7× 92 0.8× 82 0.7× 15 738
T. Makana Chock 469 1.1× 220 1.0× 153 0.9× 77 0.7× 59 0.5× 27 756
Felix Reer 487 1.1× 87 0.4× 101 0.6× 95 0.9× 54 0.5× 25 650
Fenne große Deters 473 1.1× 105 0.5× 132 0.8× 176 1.6× 49 0.4× 15 734
Nina Haferkamp 498 1.1× 138 0.6× 159 0.9× 60 0.5× 45 0.4× 11 691
Anja Stević 489 1.1× 84 0.4× 141 0.8× 117 1.1× 80 0.7× 30 698
Helena Wenninger 490 1.1× 115 0.5× 162 1.0× 137 1.2× 71 0.6× 14 636
Jessica Marrington 450 1.0× 58 0.3× 137 0.8× 173 1.6× 55 0.5× 8 664
Hui-Tzu Grace Chou 639 1.5× 154 0.7× 197 1.2× 119 1.1× 39 0.4× 12 787
Dominik J. Leiner 400 0.9× 54 0.3× 203 1.2× 128 1.2× 58 0.5× 22 777

Countries citing papers authored by John M. Tchernev

Since Specialization
Citations

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

Fields of papers citing papers by John M. Tchernev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Tchernev. 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 John M. Tchernev. The network helps show where John M. Tchernev may publish in the future.

Co-authorship network of co-authors of John M. Tchernev

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Tchernev. A scholar is included among the top collaborators of John M. Tchernev 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 John M. Tchernev. John M. Tchernev 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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