Jaelle Fuchs

866 total citations · 2 hit papers
9 papers, 569 citations indexed

About

Jaelle Fuchs is a scholar working on Sociology and Political Science, Communication and Demography. According to data from OpenAlex, Jaelle Fuchs has authored 9 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 4 papers in Communication and 4 papers in Demography. Recurrent topics in Jaelle Fuchs's work include Social Media and Politics (4 papers), Technology Use by Older Adults (4 papers) and Impact of Technology on Adolescents (4 papers). Jaelle Fuchs is often cited by papers focused on Social Media and Politics (4 papers), Technology Use by Older Adults (4 papers) and Impact of Technology on Adolescents (4 papers). Jaelle Fuchs collaborates with scholars based in Switzerland. Jaelle Fuchs's co-authors include Eszter Hargittai, Amanda Hunsaker, Minh Hao Nguyen, Jonathan Gruber and Will Marler and has published in prestigious journals such as New Media & Society, Information Communication & Society and The Information Society.

In The Last Decade

Jaelle Fuchs

7 papers receiving 548 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Changes in Digital Communication During the COVID-19 Global Pandemic: Implications for Digital Inequality and Future Research

2020 228 citations Minh Hao Nguyen, Jonathan Gruber et al. Social Media + Society profile →
Staying connected while physically apart: Digital communication when face-to-face interactions are limited

2021 118 citations Minh Hao Nguyen, Jonathan Gruber et al. New Media & Society profile →

Peers

Jaelle Fuchs

SPS

DEMOG

COMMU

SP

CP

Will Marler Switzerland

Eun Hwa Jung United States

Susan O’Donnell Canada

Qiaolei Jiang China

Barbara Stiglbauer Austria

Shaoxiong Fu China

Elizabeth Reid Canada

Mariya Stoilova United Kingdom

Sally Quinn United Kingdom

Will Marler Switzerland

Jaelle Fuchs

258 ×0.9

SPS

77 ×0.6

DEMOG

102 ×1.2

COMMU

88 ×1.1

SP

84 ×1.2

CP

Citations per year, relative to Jaelle Fuchs Jaelle Fuchs (= 1×) peers Will Marler

Countries citing papers authored by Jaelle Fuchs

Since Specialization

Citations

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

Fields of papers citing papers by Jaelle Fuchs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaelle Fuchs

This figure shows the co-authorship network connecting the top 25 collaborators of Jaelle Fuchs. A scholar is included among the top collaborators of Jaelle Fuchs 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 Jaelle Fuchs. Jaelle Fuchs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Fuchs, Jaelle, et al.. (2023). Engaging with COVID-19 content on social media in the United States: Does political affiliation matter?. First Monday.

2.

Nguyen, Minh Hao, Jonathan Gruber, Will Marler, et al.. (2021). Staying connected while physically apart: Digital communication when face-to-face interactions are limited. New Media & Society. 24(9). 2046–2067. 118 indexed citations breakdown →

3.

Nguyen, Minh Hao, et al.. (2021). Trading spaces: How and why older adults disconnect from and switch between digital media. The Information Society. 37(5). 299–311. 25 indexed citations

4.

Hunsaker, Amanda, et al.. (2020). Unsung helpers: older adults as a source of digital media support for their peers. The Communication Review. 23(4). 309–330. 41 indexed citations

5.

Nguyen, Minh Hao, Jonathan Gruber, Jaelle Fuchs, et al.. (2020). Changes in Digital Communication During the COVID-19 Global Pandemic: Implications for Digital Inequality and Future Research. Social Media + Society. 6(3). 3628642335–3628642335. 228 indexed citations breakdown →

6.

Hunsaker, Amanda, et al.. (2020). I Do Help: Older Adults as Digital Media Support Providers for Their Peers. Innovation in Aging. 4(Supplement_1). 468–468.

7.

Hargittai, Eszter, et al.. (2020). Black box measures? How to study people’s algorithm skills. Information Communication & Society. 23(5). 764–775. 98 indexed citations

8.

Hargittai, Eszter, Minh Hao Nguyen, Jaelle Fuchs, et al.. (2020). From Zero to a National Data Set in 2 Weeks: Reflections on a COVID-19 Collaborative Survey Project. Social Media + Society. 6(3). 3628642276–3628642276. 6 indexed citations

9.

Hunsaker, Amanda, et al.. (2019). “He Explained It to Me and I Also Did It Myself”: How Older Adults Get Support with Their Technology Uses. Socius Sociological Research for a Dynamic World. 5. 53 indexed citations

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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