Frank Schuhmacher

1.5k total citations
35 papers, 998 citations indexed

About

Frank Schuhmacher is a scholar working on Finance, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Frank Schuhmacher has authored 35 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Finance, 12 papers in Management Science and Operations Research and 11 papers in Economics and Econometrics. Recurrent topics in Frank Schuhmacher's work include Financial Markets and Investment Strategies (18 papers), Risk and Portfolio Optimization (10 papers) and Carbohydrate Chemistry and Synthesis (8 papers). Frank Schuhmacher is often cited by papers focused on Financial Markets and Investment Strategies (18 papers), Risk and Portfolio Optimization (10 papers) and Carbohydrate Chemistry and Synthesis (8 papers). Frank Schuhmacher collaborates with scholars based in Germany, Switzerland and Argentina. Frank Schuhmacher's co-authors include Benjamin Auer, Martin Eling, Peter H. Seeberger, Fabian Pfrengle, Heung Sik Hahm, Andreas Geissner, Johanna Hofmann, Mark K. Schlegel, Kevin Pagel and Mattan Hurevich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Management Science and Chemical Communications.

In The Last Decade

Frank Schuhmacher

30 papers receiving 959 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Schuhmacher Germany 18 384 314 311 296 167 35 998
Xin Cui China 12 95 0.2× 189 0.6× 92 0.3× 91 0.3× 48 0.3× 26 552
Yufeng Han United States 16 1.0k 2.7× 747 2.4× 72 0.2× 173 0.6× 43 0.3× 62 1.5k
Susan M. Young United States 11 196 0.5× 59 0.2× 106 0.3× 28 0.1× 142 0.9× 30 760
Shu-Chen Chang Taiwan 16 31 0.1× 451 1.4× 315 1.0× 44 0.1× 62 0.4× 60 1.1k
Chia‐Wei Chen Taiwan 12 64 0.2× 67 0.2× 214 0.7× 45 0.2× 81 0.5× 39 627
Xiaobo Tang China 17 19 0.0× 143 0.5× 518 1.7× 93 0.3× 110 0.7× 59 1.1k
Qingyuan Li China 21 289 0.8× 280 0.9× 439 1.4× 5 0.0× 494 3.0× 57 2.0k
Liu Hong China 15 201 0.5× 209 0.7× 22 0.1× 15 0.1× 108 0.6× 69 592

Countries citing papers authored by Frank Schuhmacher

Since Specialization
Citations

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

Fields of papers citing papers by Frank Schuhmacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Schuhmacher

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Schuhmacher. A scholar is included among the top collaborators of Frank Schuhmacher 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 Frank Schuhmacher. Frank Schuhmacher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Auer, Benjamin, et al.. (2024). Optimal Versus Naive Diversification in Commodity Futures Markets. Journal of Futures Markets. 45(1). 3–22.
2.
Auer, Benjamin, et al.. (2023). Rehabilitating Mean–Variance Portfolio Selection: Theory and Evidence. The Journal of Portfolio Management. 49(7). 159–178.
3.
Auer, Benjamin, et al.. (2021). Reducing complexity in multivariate electricity price forecasting. International Journal of Energy Sector Management. 16(1). 21–49. 1 indexed citations
4.
Auer, Benjamin & Frank Schuhmacher. (2021). COMPARING THE SMALL-SAMPLE ESTIMATION ERROR OF CONCEPTUALLY DIFFERENT RISK MEASURES. International Journal of Theoretical and Applied Finance. 24(5). 2150024–2150024.
5.
Auer, Benjamin, et al.. (2018). Pricing and risk of swing contracts in natural gas markets. Review of Derivatives Research. 22(1). 77–167. 4 indexed citations
6.
Ruprecht, Colin, et al.. (2017). Active Site Mapping of Xylan‐Deconstructing Enzymes with Arabinoxylan Oligosaccharides Produced by Automated Glycan Assembly. Chemistry - A European Journal. 23(13). 3197–3205. 35 indexed citations
7.
Schuhmacher, Frank, et al.. (2017). Determining Substrate Specificities of β1,4-Endogalactanases Using Plant Arabinogalactan Oligosaccharides Synthesized by Automated Glycan Assembly. The Journal of Organic Chemistry. 82(3). 1842–1850. 17 indexed citations
8.
Schuhmacher, Frank, et al.. (2017). Mixed‐Linkage Glucan Oligosaccharides Produced by Automated Glycan Assembly Serve as Tools To Determine the Substrate Specificity of Lichenase. Chemistry - A European Journal. 23(13). 3191–3196. 24 indexed citations
9.
Schmidt, Dieter, et al.. (2016). A traceless photocleavable linker for the automated glycan assembly of carbohydrates with free reducing ends. Chemical Communications. 52(66). 10187–10189. 18 indexed citations
10.
Hahm, Heung Sik, Chien‐Fu Liang, Chian‐Hui Lai, et al.. (2016). Automated Glycan Assembly of Complex Oligosaccharides Related to Blood Group Determinants. The Journal of Organic Chemistry. 81(14). 5866–5877. 26 indexed citations
11.
Schuhmacher, Frank, et al.. (2015). Automated Glycan Assembly of Oligosaccharides Related to Arabinogalactan Proteins. Organic Letters. 17(17). 4344–4347. 39 indexed citations
12.
Schuhmacher, Frank & Benjamin Auer. (2015). Extremwerttheorie und Value-at-Risk. WiSt - Wirtschaftswissenschaftliches Studium. 44(5). 259–267. 1 indexed citations
13.
Schuhmacher, Frank, et al.. (2015). Automated Synthesis of Arabinoxylan‐Oligosaccharides Enables Characterization of Antibodies that Recognize Plant Cell Wall Glycans. Chemistry - A European Journal. 21(15). 5709–5713. 84 indexed citations
14.
Auer, Benjamin & Frank Schuhmacher. (2015). Liquid Betting against Beta in Dow Jones Industrial Average Stocks. Financial Analysts Journal. 71(6). 30–43. 29 indexed citations
15.
Kandasamy, Jeyakumar, et al.. (2014). Modular automated solid phase synthesis of dermatan sulfate oligosaccharides. Chemical Communications. 50(15). 1875–1877. 35 indexed citations
16.
Schuhmacher, Frank & Wolfgang Breuer. (2014). When all risk-adjusted performance measures are the same: in praise of the Sharpe ratio ‒ a comment. Quantitative Finance. 14(5). 775–776. 3 indexed citations
17.
Schuhmacher, Frank & Martin Eling. (2012). A decision-theoretic foundation for reward-to-risk performance measures. Journal of Banking & Finance. 36(7). 2077–2082. 42 indexed citations
18.
Schuhmacher, Frank. (2012). Der Anwendungsbereich der Sharpe Ratio als Performancemaß ist größer, als viele vermuten. Journal of Business Economics. 82(6). 685–705. 5 indexed citations
19.
Schuhmacher, Frank & Martin Eling. (2011). Sufficient conditions for expected utility to imply drawdown-based performance rankings. Journal of Banking & Finance. 35(9). 2311–2318. 77 indexed citations
20.
Schuhmacher, Frank & Martin Eling. (2010). Sufficient Conditions for Expected Utility to Imply Drawdown-Based Performance Rankings. SSRN Electronic Journal. 4 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.

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