Daniel Maier
Impact in
- General Social Sciences top 0.05%
- Computational and Text Analysis Methods
- Communication top 2%
- Social Media and Politics
- Media Studies and Communication
Papers in
-
- Social Media and Politics 9
- Media Studies and Communication 5
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- Complex Network Analysis Techniques 5
- Opinion Dynamics and Social Influence 2
- Co-authors
- Annie Waldherr (10 shared papers)Peter Miltner (6 shared papers)Barbara Pfetsch (8 shared papers)Gregor Wiedemann (2 shared papers)Andreas Niekler (2 shared papers)Silke Adam (2 shared papers)Ueli Reber (2 shared papers)Hannah Schmid-Petri (2 shared papers)
In The Last Decade
Daniel Maier
19 papers receiving 679 citations
Daniel Maier's Hit Papers
Peers
Comparison fields: 5 of 100
- General Social Sciences 260
- Communication 224
- Sociology and Political Science 272
- Artificial Intelligence 190
- Marketing 36
Countries citing papers authored by Daniel Maier
This map shows the geographic impact of Daniel Maier'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 Maier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Maier more than expected).
Fields of papers citing papers by Daniel Maier
This network shows the impact of papers produced by Daniel Maier. 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 Maier. The network helps show where Daniel Maier may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Maier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology Hit paper breakdown → | 2018 | 548 |
| 2 | 2017 | 29 | |
| 3 | 2016 | 21 | |
| 4 | 2020 | 21 | |
| 5 | 2021 | 19 | |
| 6 | 2019 | 15 | |
| 7 | 2018 | 13 | |
| 8 | 2011 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2020 | 7 | |
| 11 | 2016 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2013 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2016 | 2 | |
| 16 | 2011 | 2 | |
| 17 | 2024 | 2 | |
| 18 | Topographies of Local Public Spheres on Social Media: The Scope of Issues and Interactions | 2021 | 1 |
| 19 | 1980 | 1 | |
| 20 | 2024 | 0 |
About Daniel Maier
Daniel Maier is a scholar working on Communication, Statistical and Nonlinear Physics, Artificial Intelligence, Information Systems and General Social Sciences, having authored 23 papers that have together received 712 indexed citations. Recurring topics across this work include Social Media and Politics (9 papers), Media Studies and Communication (5 papers), Complex Network Analysis Techniques (5 papers), Computational and Text Analysis Methods (3 papers), Advanced Text Analysis Techniques (3 papers), Political Influence and Corporate Strategies (2 papers), Topic Modeling (2 papers) and Opinion Dynamics and Social Influence (2 papers). The work is most often cited by research in General Social Sciences (260 citations), Communication (224 citations), Sociology and Political Science (272 citations), Artificial Intelligence (190 citations) and Marketing (36 citations). Daniel Maier has collaborated with scholars based in Germany, Austria and Israel. Frequent co-authors include Annie Waldherr, Peter Miltner, Barbara Pfetsch, Gregor Wiedemann, Andreas Niekler, Silke Adam, Ueli Reber, Hannah Schmid-Petri, Thomas Häußler and Gerhard Heyer. Their work appears in journals such as Communication Methods and Measures, Social Science Computer Review, Social Networks, Scientific Reports and Journal of Clinical Oncology.
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.