R. Frühwirth

69.8k total citations
119 papers, 1.1k citations indexed

About

R. Frühwirth is a scholar working on Ocean Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, R. Frühwirth has authored 119 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Ocean Engineering, 27 papers in Mechanical Engineering and 25 papers in Artificial Intelligence. Recurrent topics in R. Frühwirth's work include Drilling and Well Engineering (30 papers), Particle Detector Development and Performance (20 papers) and Reservoir Engineering and Simulation Methods (14 papers). R. Frühwirth is often cited by papers focused on Drilling and Well Engineering (30 papers), Particle Detector Development and Performance (20 papers) and Reservoir Engineering and Simulation Methods (14 papers). R. Frühwirth collaborates with scholars based in Austria, Norway and Switzerland. R. Frühwirth's co-authors include A. Strandlie, Gerhard Thonhauser, Sylvia Frühwirth‐Schnatter, David R. Bickel, M. Regler, Oliver Cencic, John T. Ormerod, Simone A. Padoan, M. P. Wand and W. Waltenberger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Reviews of Modern Physics and BMC Bioinformatics.

In The Last Decade

R. Frühwirth

110 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Frühwirth Austria 18 262 257 205 185 149 119 1.1k
Rosângela Ballini Brazil 18 181 0.7× 545 2.1× 39 0.2× 95 0.5× 18 0.1× 126 1.3k
Claudio Martini Italy 3 25 0.1× 245 1.0× 51 0.2× 41 0.2× 96 0.6× 5 1.2k
James Gattiker United States 12 25 0.1× 247 1.0× 47 0.2× 59 0.3× 77 0.5× 26 1.1k
D. Anderson Sweden 9 24 0.1× 117 0.5× 35 0.2× 79 0.4× 80 0.5× 11 1.2k
David J. Hall United Kingdom 9 63 0.2× 209 0.8× 30 0.1× 16 0.1× 14 0.1× 16 808
Václav Šmídl Czechia 18 13 0.0× 342 1.3× 31 0.2× 35 0.2× 94 0.6× 139 1.3k
Myron L. Stein United States 7 46 0.2× 193 0.8× 26 0.1× 40 0.2× 27 0.2× 13 725
Fuchang Gao United States 14 17 0.1× 179 0.7× 20 0.1× 131 0.7× 72 0.5× 43 1.1k
Gianluca Valentino Switzerland 13 200 0.8× 71 0.3× 75 0.4× 3 0.0× 63 0.4× 122 819
Ivan Kobyzev Canada 5 46 0.2× 277 1.1× 28 0.1× 35 0.2× 19 0.1× 16 691

Countries citing papers authored by R. Frühwirth

Since Specialization
Citations

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

Fields of papers citing papers by R. Frühwirth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Frühwirth

This figure shows the co-authorship network connecting the top 25 collaborators of R. Frühwirth. A scholar is included among the top collaborators of R. Frühwirth 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 R. Frühwirth. R. Frühwirth 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.
Adam, W., T. Bergauer, K. Damanakis, et al.. (2023). Evaluation of HPK n+-p planar pixel sensors for the CMS Phase-2 upgrade. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1053. 168326–168326.
2.
3.
Frühwirth, R. & W. Waltenberger. (2016). Redescending M-estimators and Deterministic Annealing, with Applications to Robust Regression and Tail Index Estimation. SHILAP Revista de lepidopterología. 2 indexed citations
4.
Frühwirth, R., et al.. (2016). An innovative approach for optimising geothermal energy recovery / Tiefe geothermische Energiegewinnung – Innovative Wege zur Optimierung. Geomechanics and Tunnelling. 9(5). 489–496. 1 indexed citations
5.
Rechberger, Helmut, Oliver Cencic, & R. Frühwirth. (2014). Uncertainty in Material Flow Analysis. Journal of Industrial Ecology. 18(2). 159–160. 40 indexed citations
6.
Thonhauser, Gerhard, et al.. (2013). Operations Recognition at Drill-Rigs. EGU General Assembly Conference Abstracts. 1–1. 1 indexed citations
7.
Frühwirth, R., et al.. (2013). Experimental Determination of Wellbore Diameter and Shape ( 4D Imaging of Wellbore) by Using Ultrasonic Caliper within Different Fluids for Real-Time Drilling Application. 39(1). 16–19.
8.
Frühwirth, R., et al.. (2013). Wellbore Instability Monitoring by Using 4D Imaging of Ultrasonic Caliper Logs in Real Time Drilling. International Petroleum Technology Conference. 1 indexed citations
9.
Winter, Martin, et al.. (2012). Rig Side Online Drilling Support System for Prediction and Prevention of Upcoming Crises. European geosciences union general assembly. 9363.
10.
Frühwirth, R., et al.. (2012). Improving time series classification using Hidden Markov Models. 502–507. 36 indexed citations
11.
Alsallakh, Bilal, et al.. (2012). Diagnosing drilling problems using visual analytics of sensors measurements. 1750–1753. 8 indexed citations
12.
Frühwirth, R., et al.. (2011). Automatic threshold tracking of sensor data using Expectation Maximization algorithm. 551–554. 4 indexed citations
13.
Frühwirth, R., D.R. Mani, & Saumyadipta Pyne. (2011). Clustering with position-specific constraints on variance: Applying redescending M-estimators to label-free LC-MS data analysis. BMC Bioinformatics. 12(1). 358–358. 4 indexed citations
14.
Frühwirth, R., et al.. (2011). Estimation of the material budget from tracker data to improve the quality of the track fit. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 648(1). 246–253. 3 indexed citations
15.
Widl, E. & R. Frühwirth. (2008). A large-scale application of the Kalman alignment algorithm to the CMS tracker. Journal of Physics Conference Series. 119(3). 32038–32038. 2 indexed citations
16.
17.
Strandlie, A., et al.. (2002). Treatment of multiple scattering with the generalized Riemann sphere track fit. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 488(1-2). 332–341. 4 indexed citations
18.
Strandlie, A. & R. Frühwirth. (2000). Adaptive multitrack fitting. Computer Physics Communications. 133(1). 34–42. 6 indexed citations
19.
Frühwirth, R.. (1993). Selection of optimal subsets of tracks with a feed-back neural network. Computer Physics Communications. 78(1-2). 23–28. 8 indexed citations
20.
Frühwirth, R.. (1986). Estimation of variances in a linear model applied to measurements of trajectories. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 243(1). 173–180. 3 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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