Christopher Krauß

3.6k total citations · 2 hit papers
14 papers, 2.0k citations indexed

About

Christopher Krauß is a scholar working on Finance, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Christopher Krauß has authored 14 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Finance, 10 papers in Economics and Econometrics and 5 papers in Management Science and Operations Research. Recurrent topics in Christopher Krauß's work include Financial Markets and Investment Strategies (10 papers), Market Dynamics and Volatility (5 papers) and Stock Market Forecasting Methods (5 papers). Christopher Krauß is often cited by papers focused on Financial Markets and Investment Strategies (10 papers), Market Dynamics and Volatility (5 papers) and Stock Market Forecasting Methods (5 papers). Christopher Krauß collaborates with scholars based in Germany, United States and France. Christopher Krauß's co-authors include Thomas Fischer, Nicolas Huck, Johannes Stübinger, Klaus Herrmann, Ingo Zinnikus, Victoria Bartlett, Santosh K. Mandal, Matthias Klusch, Fazlul H. Sarkar and Mukesh Verma and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Journal of Economic Surveys.

In The Last Decade

Christopher Krauß

14 papers receiving 2.0k 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.

Deep learning with long short-term memory networks for financial market predictions

2017 1.4k citations Thomas Fischer, Christopher Krauß European Journal of Operational Research profile →
Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500

2016 385 citations Christopher Krauß, Nicolas Huck et al. European Journal of Operational Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Krauß Germany	9	1.3k	779	668	554	314	14	2.0k
David Enke United States	22	1.4k 1.1×	705 0.9×	478 0.7×	446 0.8×	437 1.4×	70	2.1k
Thomas Fischer Germany	7	1.1k 0.8×	506 0.6×	426 0.6×	470 0.8×	287 0.9×	16	1.6k
George S. Atsalakis Greece	11	980 0.7×	617 0.8×	261 0.4×	357 0.6×	289 0.9×	22	1.3k
Min Qi United States	15	930 0.7×	688 0.9×	569 0.9×	384 0.7×	388 1.2×	30	2.1k
Mark T. Leung United States	15	910 0.7×	491 0.6×	273 0.4×	366 0.7×	319 1.0×	32	1.4k
Melek Acar Boyacıoğlu Türkiye	6	791 0.6×	405 0.5×	277 0.4×	284 0.5×	280 0.9×	18	1.2k
Juho Kanniainen Finland	15	535 0.4×	420 0.5×	392 0.6×	214 0.4×	176 0.6×	82	1.1k
Kyong Joo Oh South Korea	20	563 0.4×	346 0.4×	256 0.4×	171 0.3×	207 0.7×	71	1.2k
Kaijian He China	25	769 0.6×	1.7k 2.2×	259 0.4×	665 1.2×	164 0.5×	78	2.6k

Countries citing papers authored by Christopher Krauß

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Krauß

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Krauß

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Krauß. A scholar is included among the top collaborators of Christopher Krauß 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 Christopher Krauß. Christopher Krauß 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:

14 of 14 papers shown

Krauß, Christopher, et al.. (2022). A Study to Investigate the Role of Noncoding RNA miR146 Alpha as a Potential Biomarker in Prostate Cancer. PubMed. 11. 21–23. 1 indexed citations

Krauß, Christopher, et al.. (2021). Machine Learning in Futures Markets. Journal of risk and financial management. 14(3). 119–119. 3 indexed citations

Fischer, Thomas, et al.. (2020). Separating the signal from the noise – Financial machine learning for Twitter. Journal of Economic Dynamics and Control. 114. 103895–103895. 24 indexed citations

Krauß, Christopher, et al.. (2020). An Investigation to Study the Role of Novel Rhenium Compounds on Endometrial Uterine Cancer Cell Lines. PubMed. 9(1). 102–106. 2 indexed citations

Fischer, Thomas, et al.. (2019). Statistical Arbitrage in Cryptocurrency Markets. Journal of risk and financial management. 12(1). 31–31. 31 indexed citations

Krauß, Christopher, et al.. (2019). Testing Stylized Facts of Bitcoin Limit Order Books. Journal of risk and financial management. 12(1). 25–25. 13 indexed citations

Stübinger, Johannes, et al.. (2018). Statistical arbitrage with vine copulas. Quantitative Finance. 18(11). 1831–1849. 25 indexed citations

Fischer, Thomas & Christopher Krauß. (2017). Deep learning with long short-term memory networks for financial market predictions. European Journal of Operational Research. 270(2). 654–669. 1380 indexed citations breakdown →

Krauß, Christopher, et al.. (2017). Pairs trading with partial cointegration. Quantitative Finance. 18(1). 121–138. 47 indexed citations

10.

Krauß, Christopher & Johannes Stübinger. (2017). Non-linear dependence modelling with bivariate copulas: statistical arbitrage pairs trading on the S&P 100. Applied Economics. 49(52). 5352–5369. 17 indexed citations

11.

Krauß, Christopher & Klaus Herrmann. (2017). On the Power and Size Properties of Cointegration Tests in the Light of High-Frequency Stylized Facts. Journal of risk and financial management. 10(1). 7–7. 3 indexed citations

12.

Krauß, Christopher, et al.. (2016). Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500. European Journal of Operational Research. 259(2). 689–702. 385 indexed citations breakdown →

13.

Krauß, Christopher. (2016). STATISTICAL ARBITRAGE PAIRS TRADING STRATEGIES: REVIEW AND OUTLOOK. Journal of Economic Surveys. 31(2). 513–545. 114 indexed citations

14.

Zinnikus, Ingo, et al.. (2014). A Collaborative VirtualWorkspace for Factory Configuration and Evaluation. SHILAP Revista de lepidopterología. 1(1). e5–e5. 2 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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