Andreas Graefe

62 papers receiving 1.4k citations

Andreas Graefe's Hit Papers

Burst of the Filter Bubble? 2017 · 249 citations
2490+3+6Years since publication50100150200

Peers

Andreas Graefe
Comparison fields: 5 of 147
  • Communication 331
  • General Decision Sciences 65
  • Management Science and Operations Research 256
  • Health Informatics 24
  • Safety Research 124
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Paul E. Johnson United States
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Stefan M. Herzog Germany
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Countries citing papers authored by Andreas Graefe

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Graefe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andreas Graefe, 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 Andreas Graefe Line = papers co-authored together Andreas Graefe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Burst of the Filter Bubble?
Hit paper breakdown →
2017249
2 2016181
3 2008145
4 2010142
5 2016123
6
Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared
2007111
7 202081
8 201472
9 201753
10
Predicting Elections from the Most Important Issue: A Test of the Take-the-Best Heuristic
201040
11 201540
12 201038
13 200926
14 201522
15 201022
16 201722
17 201421
18 201518
19 201816
20
Reproduction of Moving Sound Sources by Wave Field Synthesis: An Analysis of Artifacts
200711

About Andreas Graefe

Andreas Graefe is a scholar working on Management Science and Operations Research, Economics and Econometrics, Political Science and International Relations, Sociology and Political Science and General Economics, Econometrics and Finance, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (30 papers), Sports Analytics and Performance (22 papers), Electoral Systems and Political Participation (20 papers), Monetary Policy and Economic Impact (15 papers), Decision-Making and Behavioral Economics (12 papers), Media Influence and Politics (9 papers), Data Analysis with R (6 papers) and Social Media and Politics (4 papers). The work is most often cited by research in Communication (331 citations), General Decision Sciences (65 citations), Management Science and Operations Research (256 citations), Health Informatics (24 citations) and Safety Research (124 citations). Andreas Graefe has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include J. Scott Armstrong, Mario Haim, Hans‐Bernd Brosius, Carsten Orwat, Timm Faulwasser, Kesten C. Green, Alfred G. Cuzán, Christof Weinhardt, Bernhard Riedl and Helmut Küchenhoff. Their work appears in journals such as PS Political Science & Politics, International Journal of Forecasting, Journal of Business Research, Electoral Studies and Digital Journalism.

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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