Cornelius Puschmann

2.0k citations
48 papers · 912 indexed · h-index 18

Impact in

Papers in

Cornelius Puschmann

47 papers receiving 842 citations

Peers

Cornelius Puschmann
Comparison fields: 5 of 90
  • Communication 428
  • General Social Sciences 65
  • Human-Computer Interaction 63
  • Sociology and Political Science 434
  • Statistical and Nonlinear Physics 105
Replace Kokil Jaidka with:
Kokil Jaidka Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Cornelius Puschmann

Since Specialization
Citations

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

Fields of papers citing papers by Cornelius Puschmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cornelius Puschmann, 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 Cornelius Puschmann Line = papers co-authored together Cornelius Puschmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20241
4 20233
5 202326
6 20228
7 20217
8 20191
9 201862
10 201747
11
Keeping Ottawa Honest—One Tweet at a Time? Politicians, Journalists, Wikipedians and Their Twitter Bots
201613
12 201516
13 20152
14
Metaphors of Big Data
201426
15
Big Data, Big Questions| Metaphors of Big Data
201427
16
Twitter and society [Digital Formations, Volume 89]
201410
17
Konferenz-Tweets - Ein Ansatz zur Analyse der Twitter-Kommunikation bei wissenschaftlichen Konferenzen.
20115
18
Twitter for Scientific Communication: How Can Citations/References be Identified and Measured?
201131
19 201017
20 20072

About Cornelius Puschmann

Cornelius Puschmann is a scholar working on Communication, General Social Sciences, Museology, Human-Computer Interaction and Sociology and Political Science, having authored 48 papers that have together received 912 indexed citations. Recurring topics across this work include Social Media and Politics (20 papers), Misinformation and Its Impacts (10 papers), Media Influence and Politics (7 papers), Media Studies and Communication (7 papers), Wikis in Education and Collaboration (6 papers), Complex Network Analysis Techniques (5 papers), Advanced Text Analysis Techniques (4 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Communication (428 citations), General Social Sciences (65 citations), Human-Computer Interaction (63 citations), Sociology and Political Science (434 citations) and Statistical and Nonlinear Physics (105 citations). Cornelius Puschmann has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Jean Burgess, Katrin Weller, Alison Powell, L. Merten, Jonas Kaiser, Judith Möller, Marco Bastos, Tatjana Scheffler, Theresa Heyd and Benedikt Fecher. Their work appears in journals such as Information Communication & Society, International journal of communication, Social Media + Society, Digital Journalism and Journal of Broadcasting & Electronic Media.

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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