Daniel Klug
Impact in
- Communication top 10%
- Social Media and Politics
- Computer Science Applications top 10%
- Open Source Software Innovations
Papers in
-
- Impact of Technology on Adolescents 3
- Sociology and Education Studies 3
-
- Social Media and Politics 2
- Co-authors
- Geoff Kaufman (2 shared papers)Bogdan Vasilescu (2 shared papers)James D. Herbsleb (2 shared papers)M. G. Evans (1 shared paper)Hemank Lamba (1 shared paper)Axel Schmidt (2 shared papers)A. Schmidt (1 shared paper)Klaus Neumann-Braun (3 shared papers)
- Journals
- Social Media + Society (1 paper)MedieKultur Journal of media and communication research (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)Studies in Communication Sciences (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Daniel Klug
15 papers receiving 222 citations
Peers
Comparison fields: 5 of 54
- Communication 58
- Computer Science Applications 44
- Human-Computer Interaction 19
- Applied Psychology 15
- Sociology and Political Science 115
Countries citing papers authored by Daniel Klug
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
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 10 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 97 | |
| 2 | 2022 | 34 | |
| 3 | 2023 | 27 | |
| 4 | 2021 | 20 | |
| 5 | 2023 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2023 | 8 | |
| 8 | 2021 | 6 | |
| 9 | 2012 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2014 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2012 | 0 |
About Daniel Klug
Daniel Klug is a scholar working on Sociology and Political Science, Communication, Education, Information Systems and Artificial Intelligence, having authored 16 papers that have together received 237 indexed citations. Recurring topics across this work include Software Engineering Research (3 papers), Impact of Technology on Adolescents (3 papers), Child Development and Digital Technology (3 papers), Hate Speech and Cyberbullying Detection (3 papers), Sociology and Education Studies (3 papers), Social Media and Politics (2 papers), Open Source Software Innovations (2 papers) and Education Methods and Technologies (2 papers). The work is most often cited by research in Communication (58 citations), Computer Science Applications (44 citations), Human-Computer Interaction (19 citations), Applied Psychology (15 citations) and Sociology and Political Science (115 citations). Daniel Klug has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Geoff Kaufman, Bogdan Vasilescu, James D. Herbsleb, M. G. Evans, Hemank Lamba, Axel Schmidt, A. Schmidt, Klaus Neumann-Braun, Michael Baumgärtner and Christopher Bogart. Their work appears in journals such as Social Media + Society, MedieKultur Journal of media and communication research, Proceedings of the ACM on Human-Computer Interaction, Studies in Communication Sciences and SHILAP Revista de lepidopterología.
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.