John M. Tchernev

989 citations
14 papers · 683 indexed · 1 hit paper · h-index 10

John M. Tchernev

14 papers receiving 643 citations

Hit Papers

The “Myth” of Media Multitasking: Reciprocal Dynamics of ...2012202620162021201250100150200250

Peers

John M. Tchernev
Comparison fields: 5 of 76
  • Sociology and Political Science 439
  • Literature and Literary Theory 216
  • Communication 170
  • Social Psychology 110
  • Information Systems and Management 110
Replace Nina Haferkamp with:
Nina Haferkamp Germany
Jang Ho Moon South Korea
Bridget Rubenking United States
Der-Hsiang Huang Taiwan
Varoth Chotpitayasunondh United Kingdom
Emmelyn Croes Netherlands
Daniel J. Tamul United States
Mina Tsay‐Vogel United States
Tim Wulf Germany
Seth Finn United States
John M. Tchernev relative to Nina Haferkamp Germany Nina Haferkamp's profile →
Citations per field
00.5×1.5×2.4×
Nina Haferkamp · 1×
Citations per year

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

14 of 14 papers shown
#WorkIndexed citations
1 7
2 7
3 18
4 37
5 18
6 7
7 24
8 21
9 26
10 23
11 6
12 38
13 181
14
The “Myth” of Media Multitasking: Reciprocal Dynamics of Media Multitasking, Personal Needs, and Gratificationsbreakdown →
270

About John M. Tchernev

John M. Tchernev is a scholar working on Literature and Literary Theory, Communication and Gender Studies, having authored 14 papers that have together received 683 indexed citations. Recurring topics across this work include Media Influence and Health (12 papers), Media, Gender, and Advertising (6 papers) and Media Studies and Communication (4 papers). The work is most often cited by research in Communication (170 citations), Literature and Literary Theory (216 citations) and Information Systems and Management (110 citations). John M. Tchernev has collaborated with scholars based in United States, Australia and Germany. Frequent 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. Their work appears in journals such as Computers in Human Behavior, Journal of Communication and Communication Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026