Julian Lorenz

528 total citations
19 papers, 331 citations indexed

About

Julian Lorenz is a scholar working on Economics and Econometrics, Finance and Computer Vision and Pattern Recognition. According to data from OpenAlex, Julian Lorenz has authored 19 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 8 papers in Finance and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Julian Lorenz's work include Complex Systems and Time Series Analysis (7 papers), Financial Markets and Investment Strategies (6 papers) and Market Dynamics and Volatility (5 papers). Julian Lorenz is often cited by papers focused on Complex Systems and Time Series Analysis (7 papers), Financial Markets and Investment Strategies (6 papers) and Market Dynamics and Volatility (5 papers). Julian Lorenz collaborates with scholars based in Switzerland, Germany and United States. Julian Lorenz's co-authors include Joerg Osterrieder, Robert Almgren, Κωνσταντίνος Παναγιώτου, Angelika Steger, Rainer Lienhart, Andreas Ruffing and Jörg Hähner and has published in prestigious journals such as Journal of Computational and Applied Mathematics, Discrete Mathematics and Algorithmica.

In The Last Decade

Julian Lorenz

16 papers receiving 312 citations

Peers

Julian Lorenz
Fan Fang United States
Julian Lorenz
Citations per year, relative to Julian Lorenz Julian Lorenz (= 1×) peers Fan Fang

Countries citing papers authored by Julian Lorenz

Since Specialization
Citations

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

Fields of papers citing papers by Julian Lorenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Lorenz

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

All Works

19 of 19 papers shown
1.
3.
Lorenz, Julian, et al.. (2024). A Review and Efficient Implementation of Scene Graph Generation Metrics. OPUS (Augsburg University). 2567–2575. 2 indexed citations
4.
Lorenz, Julian, et al.. (2024). Towards Learning Monocular 3D Object Localization from 2D Labels Using the Physical Laws of Motion. OPUS (Augsburg University). 1564–1573. 1 indexed citations
5.
Lorenz, Julian, et al.. (2023). Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly Correct Segmentation Masks. OPUS (Augsburg University). 1–10. 8 indexed citations
6.
Lorenz, Julian, et al.. (2023). Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classes. OPUS (Augsburg University). 62–70. 3 indexed citations
7.
Lorenz, Julian, et al.. (2023). All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletes. OPUS (Augsburg University). 5179–5187. 6 indexed citations
8.
Osterrieder, Joerg, et al.. (2017). Bitcoin and Cryptocurrencies¡ªNot for the Faint-Hearted. RePEc: Research Papers in Economics. 4(1). 56–94. 1 indexed citations
9.
Osterrieder, Joerg & Julian Lorenz. (2017). A STATISTICAL RISK ASSESSMENT OF BITCOIN AND ITS EXTREME TAIL BEHAVIOR. Annals of Financial Economics. 12(1). 1750003–1750003. 112 indexed citations
10.
Osterrieder, Joerg, et al.. (2017). Bitcoin and Cryptocurrencies—Not for the Faint-Hearted. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 4(1). 56–56. 48 indexed citations
11.
Osterrieder, Joerg & Julian Lorenz. (2016). A Statistical Risk Assessment of Bitcoin and Its Extreme Tail Behaviour. SSRN Electronic Journal. 3 indexed citations
12.
Osterrieder, Joerg, et al.. (2016). Bitcoin and Cryptocurrencies - Not for the Faint-Hearted. SSRN Electronic Journal. 18 indexed citations
13.
Lorenz, Julian, et al.. (2011). Von Neumann and Newman poker with a flip of hand values. Discrete Mathematics. 311(21). 2337–2345. 1 indexed citations
14.
Lorenz, Julian & Robert Almgren. (2011). Mean–Variance Optimal Adaptive Execution. Applied Mathematical Finance. 18(5). 395–422. 46 indexed citations
15.
Lorenz, Julian, Κωνσταντίνος Παναγιώτου, & Angelika Steger. (2008). Optimal Algorithms for k-Search with Application in Option Pricing. Algorithmica. 55(2). 311–328. 41 indexed citations
16.
Lorenz, Julian & Joerg Osterrieder. (2008). Simulation of a Limit Order Driven Market. SSRN Electronic Journal. 1 indexed citations
17.
Lorenz, Julian & Joerg Osterrieder. (2008). Simulation of a Limit Order Driven Market. The Journal of Trading. 4(1). 23–30. 1 indexed citations
18.
Almgren, Robert & Julian Lorenz. (2006). Bayesian Adaptive Trading with a Daily Cycle. The Journal of Trading. 1(4). 38–46. 31 indexed citations
19.
Ruffing, Andreas, et al.. (2003). Difference ladder operators for a harmonic Schrödinger oscillator using unitary linear lattices. Journal of Computational and Applied Mathematics. 153(1-2). 395–410. 8 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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