Cornelius Puschmann

2.0k citations
49 papers · 932 · h-index 18

Impact in

Papers in

Cornelius Puschmann

49 papers receiving 864 citations

Peers

Cornelius Puschmann
Comparison fields: 5 of 89
  • Communication 433
  • General Social Sciences 63
  • Human-Computer Interaction 62
  • Sociology and Political Science 440
  • Health Informatics 11
Replace Kokil Jaidka with:
Kokil Jaidka Singapore
Jennette Lovejoy United States
Mykola Makhortykh Switzerland
Elad Segev Israel
Inna Kouper United States
Monika Taddicken Germany
Helen Kennedy United Kingdom
Rodrigo Zamith United States
Stine Lomborg Denmark
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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

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201993
2 201874
3
Citation Analysis in Twitter: Approaches for Defining and Measuring Information Flows within Tweets during Scientific Conferences
201173
4 201863
5 201450
6 201749
7 201942
8 201339
9 201633
10 201630
11
Twitter for Scientific Communication: How Can Citations/References be Identified and Measured?
201130
12 202329
13
Big Data, Big Questions| Metaphors of Big Data
201427
14
Metaphors of Big Data
201426
15 201525
16 201624
17 201823
18 201620
19 201017
20 201516

About Cornelius Puschmann

Cornelius Puschmann is a scholar working on Communication, Sociology and Political Science, Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics, having authored 49 papers that have together received 932 indexed citations. Recurring topics across this work include Social Media and Politics (21 papers), Misinformation and Its Impacts (10 papers), Media Influence and Politics (8 papers), Media Studies and Communication (8 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 (433 citations), General Social Sciences (63 citations), Human-Computer Interaction (62 citations), Sociology and Political Science (440 citations) and Health Informatics (11 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, Tatjana Scheffler, Theresa Heyd, Marco Bastos and Benedikt Fecher. Their work appears in journals such as Information Communication & Society, International journal of communication, Digital Journalism, 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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