Ines Engelmann

518 citations
28 papers · 290 · h-index 8

Impact in

    • Social Media and Politics
    • Media Studies and Communication
    • Public Relations and Crisis Communication
    • Misinformation and Its Impacts
    • Digital Marketing and Social Media
    • Impact of Technology on Adolescents

Papers in

Ines Engelmann

24 papers receiving 265 citations

Peers

Ines Engelmann
Comparison fields: 5 of 48
  • Communication 230
  • Sociology and Political Science 143
  • Human-Computer Interaction 18
  • Gender Studies 29
  • Artificial Intelligence 64
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Citations per year

Countries citing papers authored by Ines Engelmann

Since Specialization
Citations

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

Fields of papers citing papers by Ines Engelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Ines Engelmann, 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 Ines Engelmann Line = papers co-authored together Ines Engelmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015151
2 201538
3 202312
4 202212
5 20198
6 20187
7 20217
8
Visibility Through Information Sharing: The Role of Tweet Authors and Communication Styles in Retweeting Political Information on Twitter
20197
9 20106
10 20215
11 20155
12 20125
13 20184
14
Comment Counts or News Factors or Both? Influences on News Website Users’ News Selectioners’ News Selection
20173
15 20223
16 20093
17
Comment Counts or News Factors or Both
20172
18 20252
19 20162
20 20132

About Ines Engelmann

Ines Engelmann is a scholar working on Communication, Sociology and Political Science, Political Science and International Relations, Artificial Intelligence and Social Psychology, having authored 28 papers that have together received 290 indexed citations. Recurring topics across this work include Social Media and Politics (16 papers), Media Studies and Communication (13 papers), Misinformation and Its Impacts (3 papers), Hate Speech and Cyberbullying Detection (3 papers), Digital Marketing and Social Media (3 papers), Populism, Right-Wing Movements (3 papers), Public Administration and Political Analysis (2 papers) and Impact of Technology on Adolescents (2 papers). The work is most often cited by research in Communication (230 citations), Sociology and Political Science (143 citations), Human-Computer Interaction (18 citations), Gender Studies (29 citations) and Artificial Intelligence (64 citations). Ines Engelmann has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Nina Springer, Sabrina Heike Kessler, Tobias Brockmann, Christoph Neuberger, Bertram Scheufele, Christiane Eilders, Klaus Beck, Katharina Esau, Axel Bruns and Bernd Froehlich. Their work appears in journals such as International journal of communication, Journalism Studies, IEEE Transactions on Visualization and Computer Graphics, Social Media + Society and New Media & Society.

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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