Peter Miltner

11 papers receiving 669 citations

Peter Miltner's Hit Papers

Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology 2018 · 599 citations
5990+2+5Years since publication100200300400500

Peers

Peter Miltner
Comparison fields: 5 of 100
  • General Social Sciences 267
  • Communication 235
  • Sociology and Political Science 267
  • Artificial Intelligence 180
  • Marketing 38
Replace Daniel Maier with:
Daniel Maier Germany
Thomas Häußler Switzerland
Alexa Keinert Germany
Hannah Schmid-Petri Germany
Andreas Niekler Germany
Annie Waldherr Germany
Derek O’Callaghan Ireland
Carina Jacobi Austria
Oliver Posegga Germany
Carsten Schwemmer Germany
Peter Miltner relative to Daniel Maier Germany Daniel Maier's profile →
Citations per field
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Daniel Maier · 1×
Citations per year

Countries citing papers authored by Peter Miltner

Since Specialization
Citations

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

Fields of papers citing papers by Peter Miltner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Peter Miltner, 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 Peter Miltner Line = papers co-authored together Peter Miltner links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology
Hit paper breakdown →
2018599
2 201729
3 201622
4 201816
5 201512
6 20138
7 20166
8 20186
9
Inductive Codebook Development for Content Analysis: Combining Automated and Manual Methods
20194
10 20134
11
Stichprobenziehung aus dem Netz – Wie man themenspezifische Online-Inhalte erfassen kann
20143

About Peter Miltner

Peter Miltner is a scholar working on Communication, Statistical and Nonlinear Physics, Strategy and Management, General Social Sciences and Information Systems, having authored 11 papers that have together received 709 indexed citations. Recurring topics across this work include Social Media and Politics (4 papers), Complex Network Analysis Techniques (3 papers), Political Influence and Corporate Strategies (2 papers), Advanced Text Analysis Techniques (2 papers), Focus Groups and Qualitative Methods (1 paper), Web visibility and informetrics (1 paper), Organic Food and Agriculture (1 paper) and Computational and Text Analysis Methods (1 paper). The work is most often cited by research in General Social Sciences (267 citations), Communication (235 citations), Sociology and Political Science (267 citations), Artificial Intelligence (180 citations) and Marketing (38 citations). Peter Miltner has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include Annie Waldherr, Daniel Maier, Barbara Pfetsch, Silke Adam, Ueli Reber, Hannah Schmid-Petri, Thomas Häußler, Gerhard Heyer, Andreas Niekler and Alexa Keinert. Their work appears in journals such as Social Science Computer Review, Catalan Journal of Communication & Cultural Studies, Social Networks, Communication Methods and Measures and Forum qualitative Sozialforschung.

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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