Daniel Klug

570 citations
29 papers · 304 · h-index 8

Impact in

Papers in

Daniel Klug

20 papers receiving 278 citations

Peers

Daniel Klug
Comparison fields: 5 of 53
  • Communication 75
  • Computer Science Applications 50
  • Human-Computer Interaction 23
  • Sociology and Political Science 143
  • Gender Studies 29
Replace Andreas Schellewald with:
Andreas Schellewald United Kingdom
Patricia Núñez Gómez Spain
Jin Mao United States
Emily van der Nagel Australia
Daricia Wilkinson United States
Asko Lehmuskallio Finland
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Gila Kurtz Israel
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Daniel Klug relative to Andreas Schellewald United Kingdom Andreas Schellewald's profile →
Citations per field
00.5×1.5×
Andreas Schellewald · 1×
Citations per year

Countries citing papers authored by Daniel Klug

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Klug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Daniel Klug, 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 Daniel Klug Line = papers co-authored together Daniel Klug links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021114
2 202239
3 202337
4 202124
5 202320
6 202017
7 201215
8 20239
9 20217
10 20145
11 20213
12 20202
13 20142
14 20231
15 20171
16 20211
17 20161
18 20181
19 20161
20 20161

About Daniel Klug

Daniel Klug is a scholar working on Communication, Sociology and Political Science, Language and Linguistics, Education and Information Systems, having authored 29 papers that have together received 304 indexed citations. Recurring topics across this work include Media Studies and Communication (6 papers), Sociology and Education Studies (4 papers), Education Methods and Technologies (3 papers), Hate Speech and Cyberbullying Detection (3 papers), Impact of Technology on Adolescents (3 papers), Linguistic Education and Pedagogy (3 papers), Software Engineering Research (3 papers) and Child Development and Digital Technology (3 papers). The work is most often cited by research in Communication (75 citations), Computer Science Applications (50 citations), Human-Computer Interaction (23 citations), Sociology and Political Science (143 citations) and Gender Studies (29 citations). Daniel Klug has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Geoff Kaufman, Bogdan Vasilescu, A. Schmidt, James D. Herbsleb, Klaus Neumann-Braun, Axel Schmidt, Hemank Lamba, Michael Baumgärtner and Christopher Bogart. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Social Media + Society, MedieKultur Journal of media and communication research, Studies in Communication Sciences and Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).

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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