Andreas Gerhardus

515 total citations · 1 hit paper
13 papers, 235 citations indexed

About

Andreas Gerhardus is a scholar working on Artificial Intelligence, Geometry and Topology and Statistical and Nonlinear Physics. According to data from OpenAlex, Andreas Gerhardus has authored 13 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Geometry and Topology and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Andreas Gerhardus's work include Bayesian Modeling and Causal Inference (4 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Algebraic Geometry and Number Theory (2 papers). Andreas Gerhardus is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Algebraic Geometry and Number Theory (2 papers). Andreas Gerhardus collaborates with scholars based in Germany, Spain and United States. Andreas Gerhardus's co-authors include Jakob Runge, Gherardo Varando, Gustau Camps‐Valls, Veronika Eyring, Hans Jockers, Dmitry Budker, N. Leefer, Y. V. Stadnik, Georg Martius and Ricardo Vinuesa and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physics Reports.

In The Last Decade

Andreas Gerhardus

12 papers receiving 230 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.

Causal inference for time series

2023 107 citations Jakob Runge, Andreas Gerhardus et al. Nature Reviews Earth & Environment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andreas Gerhardus Germany	7	53	45	40	28	26	13	235
Ethan Anderes United States	10	34 0.6×	54 1.2×	29 0.7×	8 0.3×	14 0.5×	18	345
F. Ameli Italy	10	44 0.8×	15 0.3×	97 2.4×	46 1.6×	6 0.2×	41	276
Peter Nørgaard United States	4	78 1.5×	27 0.6×	20 0.5×	92 3.3×	15 0.6×	9	193
D. Yu. Manin United States	7	26 0.5×	37 0.8×	11 0.3×	39 1.4×	30 1.2×	15	287
Valentin Churavy United States	9	36 0.7×	30 0.7×	10 0.3×	60 2.1×	22 0.8×	16	249
Camilo Rodrigues Neto Brazil	11	84 1.6×	16 0.4×	7 0.2×	13 0.5×	101 3.9×	36	373
Jeffrey Jewell United States	8	43 0.8×	34 0.8×	76 1.9×	28 1.0×	20 0.8×	13	326
Peter Harrington United States	7	37 0.7×	33 0.7×	6 0.1×	54 1.9×	20 0.8×	12	189
Hannes Vogt Germany	8	59 1.1×	14 0.3×	67 1.7×	84 3.0×	5 0.2×	13	222
Malcolm Anderson Brunei	9	12 0.2×	83 1.8×	93 2.3×	4 0.1×	31 1.2×	28	290

Countries citing papers authored by Andreas Gerhardus

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Gerhardus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Gerhardus

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

All Works

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13 of 13 papers shown

1.

Luijten, Maartje, Wilson F. Abdo, Jana Vyrastekova, et al.. (2024). Triangulation for causal loop diagrams: constructing biopsychosocial models using group model building, literature review, and causal discovery. elib (German Aerospace Center). 1(1). 1 indexed citations

2.

Gerhardus, Andreas. (2024). Characterization of causal ancestral graphs for time series with latent confounders. The Annals of Statistics. 52(1). 1 indexed citations

3.

Beucler, Tom, et al.. (2023). Selecting robust features for machine-learning applications using multidata causal discovery. SHILAP Revista de lepidopterología. 2. 4 indexed citations

4.

Runge, Jakob, Andreas Gerhardus, Gherardo Varando, Veronika Eyring, & Gustau Camps‐Valls. (2023). Publisher Correction: Causal inference for time series. Nature Reviews Earth & Environment. 4(8). 596–596. 1 indexed citations

5.

Camps‐Valls, Gustau, Andreas Gerhardus, Gherardo Varando, et al.. (2023). Discovering causal relations and equations from data. Physics Reports. 1044. 1–68. 47 indexed citations

6.

Runge, Jakob, Andreas Gerhardus, Gherardo Varando, Veronika Eyring, & Gustau Camps‐Valls. (2023). Causal inference for time series. Nature Reviews Earth & Environment. 4(7). 487–505. 107 indexed citations breakdown →

7.

Gerhardus, Andreas, et al.. (2022). A spatiotemporal stochastic climate model for benchmarking causal discovery methods for teleconnections. SHILAP Revista de lepidopterología. 1. 7 indexed citations

8.

Gerhardus, Andreas, et al.. (2021). Mapped-PCMCI: an algorithm for causal discovery at the grid level.

9.

Gerhardus, Andreas & Jakob Runge. (2021). LPCMCI: Causal Discovery in Time Series with Latent Confounders. elib (German Aerospace Center). 12 indexed citations

10.

Gerhardus, Andreas, et al.. (2018). The geometry of gauged linear sigma model correlation functions. Nuclear Physics B. 933. 65–133. 3 indexed citations

11.

Leefer, N., et al.. (2016). Search for the Effect of Massive Bodies on Atomic Spectra and Constraints on Yukawa-Type Interactions of Scalar Particles. Physical Review Letters. 117(27). 271601–271601. 30 indexed citations

12.

Gerhardus, Andreas & Hans Jockers. (2016). Dual pairs of gauged linear sigma models and derived equivalences of Calabi–Yau threefolds. Journal of Geometry and Physics. 114. 223–259. 6 indexed citations

13.

Gerhardus, Andreas & Hans Jockers. (2016). Quantum periods of Calabi–Yau fourfolds. Nuclear Physics B. 913. 425–474. 16 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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