Andreas Ruttor

471 total citations
19 papers, 265 citations indexed

About

Andreas Ruttor is a scholar working on Artificial Intelligence, Control and Systems Engineering and Molecular Biology. According to data from OpenAlex, Andreas Ruttor has authored 19 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 6 papers in Molecular Biology. Recurrent topics in Andreas Ruttor's work include Gaussian Processes and Bayesian Inference (7 papers), Neural Networks and Applications (5 papers) and Control Systems and Identification (5 papers). Andreas Ruttor is often cited by papers focused on Gaussian Processes and Bayesian Inference (7 papers), Neural Networks and Applications (5 papers) and Control Systems and Identification (5 papers). Andreas Ruttor collaborates with scholars based in Germany, Israel and United Kingdom. Andreas Ruttor's co-authors include Wolfgang Kinzel, Manfred Opper, Ido Kanter, Guido Sanguinetti, Cédric Archambeau, Einat Klein, Florian Stimberg, Luís F. Seoane, Adam Wolisz and Kaspar Bienefeld and has published in prestigious journals such as Physical Review Letters, Bioinformatics and Physical review. E.

In The Last Decade

Andreas Ruttor

19 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andreas Ruttor Germany	10	151	101	95	42	41	19	265
Sergio Barrachina Spain	12	256 1.7×	103 1.0×	37 0.4×	60 1.4×	35 0.9×	44	534
V. К. Trofimov Russia	2	301 2.0×	83 0.8×	75 0.8×	83 2.0×	43 1.0×	6	380
Rafail Krichevsky Russia	3	327 2.2×	93 0.9×	80 0.8×	94 2.2×	44 1.1×	5	409
Luciana De Micco Argentina	9	66 0.4×	84 0.8×	69 0.7×	48 1.1×	25 0.6×	29	334
F. Kanaya Japan	10	141 0.9×	72 0.7×	46 0.5×	74 1.8×	112 2.7×	32	292
Yunsheng Bai United States	7	183 1.2×	130 1.3×	48 0.5×	27 0.6×	40 1.0×	20	329
Daniel Cullina United States	10	220 1.5×	85 0.8×	61 0.6×	42 1.0×	17 0.4×	25	298
Narayana Santhanam United States	10	391 2.6×	49 0.5×	107 1.1×	166 4.0×	38 0.9×	47	514
Michel Neuhaus Switzerland	8	210 1.4×	244 2.4×	45 0.5×	51 1.2×	11 0.3×	10	359
Raehyun Kim South Korea	7	230 1.5×	78 0.8×	37 0.4×	22 0.5×	12 0.3×	10	395

Countries citing papers authored by Andreas Ruttor

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Ruttor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Ruttor

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

All Works

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19 of 19 papers shown

Ruttor, Andreas, et al.. (2022). Semi-automatic detection of honeybee brood hygiene—an example of artificial learning to facilitate ethological studies on social insects. Biology Methods and Protocols. 7(1). bpac005–bpac005. 3 indexed citations

Ruttor, Andreas, et al.. (2018). Approximate Bayes learning of stochastic differential equations. Physical review. E. 98(2). 22109–22109. 22 indexed citations

Stimberg, Florian, Andreas Ruttor, & Manfred Opper. (2014). Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data. Neural Information Processing Systems. 27. 730–738. 1 indexed citations

Ruttor, Andreas, et al.. (2013). Approximate Gaussian process inference for the drift of stochastic differential equations. Neural Information Processing Systems. 2040–2048. 3 indexed citations

Ruttor, Andreas, et al.. (2013). Approximate Gaussian process inference for the drift function in stochastic differential equations. Neural Information Processing Systems. 26. 2040–2048. 14 indexed citations

Ruttor, Andreas, et al.. (2013). DARA: Estimating the behavior of data rate adaptation algorithms in WLAN hotspots. 280–284. 2 indexed citations

Stimberg, Florian, Andreas Ruttor, & Manfred Opper. (2012). Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach. International Conference on Artificial Intelligence and Statistics. 1117–1124. 6 indexed citations

Seoane, Luís F. & Andreas Ruttor. (2012). Successful attack on permutation-parity-machine-based neural cryptography. Physical Review E. 85(2). 25101–25101. 3 indexed citations

Stimberg, Florian, Manfred Opper, Guido Sanguinetti, & Andreas Ruttor. (2011). Inference in continuous-time change-point models. Neural Information Processing Systems. 24. 2717–2725. 3 indexed citations

10.

Opper, Manfred, Andreas Ruttor, & Guido Sanguinetti. (2010). Approximate inference in continuous time Gaussian-Jump processes. Edinburgh Research Explorer (University of Edinburgh). 23. 1831–1839. 13 indexed citations

11.

Ruttor, Andreas & Manfred Opper. (2010). Approximate parameter inference in a stochastic reaction-diffusion model. International Conference on Artificial Intelligence and Statistics. 669–676. 2 indexed citations

12.

Ruttor, Andreas, Guido Sanguinetti, & Manfred Opper. (2010). Approximate Inference for Stochastic Reaction processes.. 277–296. 5 indexed citations

13.

Ruttor, Andreas & Manfred Opper. (2009). Efficient Statistical Inference for Stochastic Reaction Processes. Physical Review Letters. 103(23). 230601–230601. 20 indexed citations

14.

Sanguinetti, Guido, Andreas Ruttor, Manfred Opper, & Cédric Archambeau. (2009). Switching regulatory models of cellular stress response. Bioinformatics. 25(10). 1280–1286. 22 indexed citations

15.

Ruttor, Andreas, Wolfgang Kinzel, & Ido Kanter. (2007). Dynamics of neural cryptography. Physical Review E. 75(5). 56104–56104. 39 indexed citations

16.

Ruttor, Andreas, et al.. (2006). Genetic attack on neural cryptography. Physical Review E. 73(3). 36121–36121. 47 indexed citations

17.

Klein, Einat, et al.. (2004). Synchronization of neural networks by mutual learning and its application to cryptography. Neural Information Processing Systems. 17. 689–696. 21 indexed citations

18.

Ruttor, Andreas, et al.. (2004). Neural cryptography with feedback. Physical Review E. 69(4). 46110–46110. 29 indexed citations

19.

Ruttor, Andreas, et al.. (2004). Synchronization of random walks with reflecting boundaries. Journal of Physics A Mathematical and General. 37(36). 8609–8618. 10 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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