Mónica Chadha

1.2k citations
25 papers · 852 · h-index 12

Impact in

Papers in

    • Social Media and Politics 12
    • Media Studies and Communication 10
    • Public Relations and Crisis Communication 3
    • Radio, Podcasts, and Digital Media 2
    • Digital Marketing and Social Media 3

Mónica Chadha

25 papers receiving 809 citations

Peers

Mónica Chadha
Comparison fields: 5 of 117
  • Communication 167
  • Cardiology and Cardiovascular Medicine 191
  • Genetics 172
  • Molecular Biology 300
  • Sociology and Political Science 150
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Citations per field
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Citations per year

Countries citing papers authored by Mónica Chadha

Since Specialization
Citations

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

Fields of papers citing papers by Mónica Chadha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mónica Chadha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mónica Chadha Line = papers co-authored together Mónica Chadha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004317
2 2004214
3 201145
4 201242
5 200340
6 201739
7 201536
8 201816
9 201514
10
Proximity and Networked News Public: Structural Topic Modeling of Global Twitter Conversations about the 2017 Quebec Mosque Shooting
201913
11 201812
12 201811
13 20229
14 20117
15
The Writing Is on the Wall, or Is It? Exploring Indian Activists’ Beliefs About Online Social Media’s Potential for Social Change
20156
16 19986
17 20206
18 20186
19 19984
20 20183

About Mónica Chadha

Mónica Chadha is a scholar working on Communication, Sociology and Political Science, Organic Chemistry, Computer Networks and Communications and Molecular Biology, having authored 25 papers that have together received 852 indexed citations. Recurring topics across this work include Social Media and Politics (12 papers), Media Studies and Communication (10 papers), Digital Marketing and Social Media (3 papers), Synthesis and biological activity (3 papers), Public Relations and Crisis Communication (3 papers), Media Influence and Health (2 papers), Radio, Podcasts, and Digital Media (2 papers) and Gender, Feminism, and Media (2 papers). The work is most often cited by research in Communication (167 citations), Cardiology and Cardiovascular Medicine (191 citations), Genetics (172 citations), Molecular Biology (300 citations) and Sociology and Political Science (150 citations). Mónica Chadha has collaborated with scholars based in United States, India and France. Frequent co-authors include K. Hazel Kwon, Hsiang Iris Chyi, Summer Harlow, Xiaojun Di, Jane Law, Guoying Liu, Earl Hubbell, Stephen P. A. Fodor, Keith Jones and Giulia C. Kennedy. Their work appears in journals such as Journalism Practice, International journal of communication, Journalism Studies, Journalism and Nature Methods.

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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