Andreas Graefe

2.6k total citations · 1 hit paper
72 papers, 1.6k citations indexed

About

Andreas Graefe is a scholar working on Management Science and Operations Research, Economics and Econometrics and Political Science and International Relations. According to data from OpenAlex, Andreas Graefe has authored 72 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Management Science and Operations Research, 29 papers in Economics and Econometrics and 20 papers in Political Science and International Relations. Recurrent topics in Andreas Graefe's work include Forecasting Techniques and Applications (30 papers), Sports Analytics and Performance (22 papers) and Electoral Systems and Political Participation (20 papers). Andreas Graefe is often cited by papers focused on Forecasting Techniques and Applications (30 papers), Sports Analytics and Performance (22 papers) and Electoral Systems and Political Participation (20 papers). Andreas Graefe collaborates with scholars based in Germany, United States and Australia. Andreas Graefe's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Business Research.

In The Last Decade

Andreas Graefe

62 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Burst of the Filter Bubble?

2017 249 citations Mario Haim, Andreas Graefe et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andreas Graefe Germany	18	596	331	289	256	225	72	1.6k
Raanan Lipshitz Israel	25	503 0.8×	282 0.9×	239 0.8×	640 2.5×	154 0.7×	51	3.5k
Morgan R. Frank United States	15	414 0.7×	73 0.2×	484 1.7×	84 0.3×	325 1.4×	28	2.0k
Daeho Lee South Korea	24	686 1.2×	70 0.2×	240 0.8×	224 0.9×	344 1.5×	109	2.2k
Henry C. Lucas United States	20	462 0.8×	116 0.4×	124 0.4×	269 1.1×	261 1.2×	53	2.6k
Arkalgud Ramaprasad United States	21	220 0.4×	125 0.4×	211 0.7×	253 1.0×	162 0.7×	125	2.2k
Che-Hui Lien Canada	12	908 1.5×	147 0.4×	423 1.5×	93 0.4×	83 0.4×	25	2.0k
Crispin Coombs United Kingdom	17	449 0.8×	152 0.5×	175 0.6×	128 0.5×	171 0.8×	52	2.0k
Tobias Mettler Switzerland	23	344 0.6×	85 0.3×	125 0.4×	187 0.7×	101 0.4×	107	1.8k
Stefan M. Herzog Germany	22	469 0.8×	105 0.3×	274 0.9×	253 1.0×	212 0.9×	57	1.7k
Matteo Cinelli Italy	16	1.0k 1.7×	518 1.6×	351 1.2×	48 0.2×	342 1.5×	60	2.3k

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-authorship network of co-authors of Andreas Graefe

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Graefe. A scholar is included among the top collaborators of Andreas Graefe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andreas Graefe. Andreas Graefe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Graefe, Andreas. (2025). Combining Forecasts for the 2025 German Federal Election: The PollyVote. PS Political Science & Politics. 59(1). 68–71.

2.

Graefe, Andreas. (2021). Embrace the differences: Revisiting the PollyVote method of combining forecasts for U.S. presidential elections (2004 to 2020). SSRN Electronic Journal. 1 indexed citations

3.

Graefe, Andreas, et al.. (2020). Automated Journalism: A Meta-Analysis of Readers’ Perceptions of Human-Written in Comparison to Automated News. Media and Communication. 8(3). 50–59. 81 indexed citations

4.

Graefe, Andreas, Kesten C. Green, & J. Scott Armstrong. (2019). Accuracy gains from conservative forecasting: Tests using variations of 19 econometric models to predict 154 elections in 10 countries. PLoS ONE. 14(1). e0209850–e0209850. 1 indexed citations

5.

Graefe, Andreas. (2018). Predicting elections: Experts, polls, and fundamentals. Judgment and Decision Making. 13(4). 334–344. 16 indexed citations

6.

Graefe, Andreas. (2017). Prediction Market Performance in the 2016 U.S. Presidential Election. RePEc: Research Papers in Economics. 38–42. 8 indexed citations

7.

Graefe, Andreas, et al.. (2017). Assessing the 2016 U.S. Presidential Election Popular Vote Forecasts. MPRA Paper. 3 indexed citations

8.

Graefe, Andreas, et al.. (2016). Readers’ perception of computer-generated news: Credibility, expertise, and readability. Journalism. 19(5). 595–610. 181 indexed citations

9.

Graefe, Andreas, et al.. (2015). Limitations of Ensemble Bayesian Model Averaging for forecasting social science problems. International Journal of Forecasting. 31(3). 943–951. 40 indexed citations

10.

Graefe, Andreas, et al.. (2014). Accuracy of Combined Forecasts for the 2012 Presidential Elections: The Pollyvote. SSRN Electronic Journal. 3 indexed citations

11.

Graefe, Andreas & J. Scott Armstrong. (2013). Forecasts of the 2012 US Presidential Election based on Candidates’ Perceived Competence in Handling the Most Important Issue. Political Science Research and Methods. 2(1). 141–149. 1 indexed citations

12.

Armstrong, J. Scott & Andreas Graefe. (2010). Predicting Elections from the Most Important Issue: A Test of the Take-the-Best Heuristic. Scholarly Commons (University of Pennsylvania). 40 indexed citations

13.

Graefe, Andreas. (2010). Prediction Markets for Forecasting Drug Development. RePEc: Research Papers in Economics. 8–12. 3 indexed citations

14.

Graefe, Andreas & J. Scott Armstrong. (2010). Comparing Face-to-Face Meetings, Nominal Groups, Delphi and Prediction Markets on an Estimation Task. Scholarly Commons (University of Pennsylvania). 5 indexed citations

15.

Graefe, Andreas, et al.. (2010). Combining forecasts: An application to U.S. Presidential Elections. 2 indexed citations

16.

Orwat, Carsten, et al.. (2010). Adopting Pervasive Computing for Routine Use in Healthcare. IEEE Pervasive Computing. 9(2). 64–71. 22 indexed citations

17.

Graefe, Andreas, et al.. (2009). Combining forecasts for U.S. presidential elections: The PollyVote. SSRN Electronic Journal. 2 indexed citations

18.

Graefe, Andreas, et al.. (2009). Combined Forecasts of the 2008 Election: The Pollyvote. Scholarly Commons (University of Pennsylvania). 50–51. 1 indexed citations

19.

Graefe, Andreas & Christof Weinhardt. (2008). Long-Term Forecasting with Prediction Markets - A Field Experiment on Applicability and Expert Confidence. SSRN Electronic Journal.

20.

Green, Kesten C., J. Scott Armstrong, & Andreas Graefe. (2007). Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared. Scholarly Commons (University of Pennsylvania). 111 indexed citations

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.

Explore authors with similar magnitude of impact