Thorsteinn Rögnvaldsson

2.2k total citations · 1 hit paper
76 papers, 1.4k citations indexed

About

Thorsteinn Rögnvaldsson is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thorsteinn Rögnvaldsson has authored 76 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 28 papers in Control and Systems Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thorsteinn Rögnvaldsson's work include Fault Detection and Control Systems (19 papers), Neural Networks and Applications (9 papers) and Anomaly Detection Techniques and Applications (6 papers). Thorsteinn Rögnvaldsson is often cited by papers focused on Fault Detection and Control Systems (19 papers), Neural Networks and Applications (9 papers) and Anomaly Detection Techniques and Applications (6 papers). Thorsteinn Rögnvaldsson collaborates with scholars based in Sweden, United States and United Kingdom. Thorsteinn Rögnvaldsson's co-authors include Carsten Peterson, Leif Lönnblad, Stefan Byttner, Sławomir Nowaczyk, Daniel Garwicz, Mohamed-Rafik Bouguelia, Fredrik Levander, Mattias Ohlsson, KC Santosh and Joaquin Vanschoren and has published in prestigious journals such as Physical Review Letters, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Thorsteinn Rögnvaldsson

75 papers receiving 1.3k 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.

Advances and Challenges in Meta-Learning: A Technical Review

2024 103 citations Mohamed-Rafik Bouguelia, Joaquin Vanschoren et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thorsteinn Rögnvaldsson Sweden	21	371	291	245	161	100	76	1.4k
Wei Zhu China	29	217 0.6×	1.5k 5.3×	65 0.3×	25 0.2×	519 5.2×	149	4.2k
Katalin M. Hangos Hungary	21	122 0.3×	1.1k 3.6×	433 1.8×	18 0.1×	220 2.2×	211	1.9k
Ioannis G. Tsoulos Greece	19	587 1.6×	108 0.4×	103 0.4×	16 0.1×	91 0.9×	117	1.3k
Rein Luus Canada	29	386 1.0×	1.8k 6.0×	226 0.9×	5 0.0×	151 1.5×	130	2.8k
Sushmita Sharma India	21	549 1.5×	103 0.4×	54 0.2×	14 0.1×	109 1.1×	47	1.2k
Andrew Packard United States	30	142 0.4×	2.8k 9.7×	97 0.4×	9 0.1×	300 3.0×	113	4.0k
M. Yamamura Japan	16	423 1.1×	95 0.3×	44 0.2×	78 0.5×	62 0.6×	90	976
Emad E. Mahmoud Saudi Arabia	30	208 0.6×	98 0.3×	125 0.5×	9 0.1×	110 1.1×	207	3.4k
Hongbo Liu China	20	544 1.5×	526 1.8×	76 0.3×	17 0.1×	178 1.8×	146	2.0k
Yutaka TANAKA Japan	14	69 0.2×	223 0.8×	11 0.0×	31 0.2×	104 1.0×	194	980

Countries citing papers authored by Thorsteinn Rögnvaldsson

Since Specialization

Citations

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

Fields of papers citing papers by Thorsteinn Rögnvaldsson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsteinn Rögnvaldsson

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

All Works

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20 of 20 papers shown

Bouguelia, Mohamed-Rafik, et al.. (2024). Multimodal meta-learning through meta-learned task representations. Neural Computing and Applications. 36(15). 8519–8529. 3 indexed citations

Ohlsson, Mattias, et al.. (2024). The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models. Artificial Intelligence in Medicine. 148. 102781–102781. 10 indexed citations

Bouguelia, Mohamed-Rafik, et al.. (2024). Advances and Challenges in Meta-Learning: A Technical Review. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 4763–4779. 103 indexed citations breakdown →

Rögnvaldsson, Thorsteinn, et al.. (2023). Bridging the Gap: A Comparative Analysis of Regressive Remaining Useful Life Prediction and Survival Analysis Methods for Predictive Maintenance. KTH Publication Database DiVA (KTH Royal Institute of Technology). 4(1). 1 indexed citations

Ohlsson, Mattias, et al.. (2022). The Concordance Index Decomposition - A Measure for a Deeper Understanding of Survival Prediction Models. SSRN Electronic Journal. 5 indexed citations

Rögnvaldsson, Thorsteinn, et al.. (2017). Self-monitoring for maintenance of vehicle fleets. Data Mining and Knowledge Discovery. 32(2). 344–384. 21 indexed citations

Nowaczyk, Sławomir, et al.. (2016). Learning of Aggregate Features for Comparing Drivers Based on Naturalistic Data. KTH Publication Database DiVA (KTH Royal Institute of Technology). 5. 1067–1072. 4 indexed citations

Nowaczyk, Sławomir, et al.. (2015). Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data. Engineering Applications of Artificial Intelligence. 41. 139–150. 117 indexed citations

Nowaczyk, Sławomir, et al.. (2014). APPES Maps as Tools for Quantifying Performance of Truck Drivers. 10–16. 1 indexed citations

10.

Nowaczyk, Sławomir, et al.. (2013). Analysis of Truck Compressor Failures Based on Logged Vehicle Data. KTH Publication Database DiVA (KTH Royal Institute of Technology). 17(2). 101–61. 8 indexed citations

11.

Andreasson, Henrik, et al.. (2009). MALTA : a system of multiple autonomous trucks for load transportation. KTH Publication Database DiVA (KTH Royal Institute of Technology). 93–98. 4 indexed citations

12.

Byttner, Stefan, et al.. (2009). Vehicle Diagnostics Method by Anomaly Detection and Fault Identification Software. SAE International journal of passenger cars. Electronic and electrical systems. 2(1). 352–358. 4 indexed citations

13.

Rögnvaldsson, Thorsteinn, et al.. (2009). How to find simple and accurate rules for viral protease cleavage specificities. BMC Bioinformatics. 10(1). 149–149. 27 indexed citations

14.

Byttner, Stefan, et al.. (2008). Self-organized Modeling for Vehicle Fleet Based Fault Detection. SAE technical papers on CD-ROM/SAE technical paper series. 5 indexed citations

15.

Erlandsson, Lena‐Karin, Thorsteinn Rögnvaldsson, & Mona Eklund. (2004). Recognition of Similarities: A Methodological Approach to Analysing and Characterising Patterns of Daily Occupations. Journal of Occupational Science. 11(1). 3–13. 18 indexed citations

16.

Dalevi, Daniel, et al.. (2004). Modular, scriptable and automated analysis tools for high-throughput peptide mass fingerprinting. Bioinformatics. 20(18). 3628–3635. 64 indexed citations

17.

Levander, Fredrik, et al.. (2004). Automated methods for improved protein identification by peptide mass fingerprinting. PROTEOMICS. 4(9). 2594–2601. 31 indexed citations

18.

Ohlsson, Mattias, Carsten Peterson, Hong Pi, Thorsteinn Rögnvaldsson, & Bo Söderberg. (1994). Predicting System loads with Artificial Neural Networks : Method and Result from "the Great Energy Predictor Shootout". Lund University Publications (Lund University). 33 indexed citations

19.

Lönnblad, Leif, Carsten Peterson, Hong Pi, & Thorsteinn Rögnvaldsson. (1991). Self-organizing networks for extracting jet features. Computer Physics Communications. 67(2). 193–209. 11 indexed citations

20.

Lönnblad, Leif, Carsten Peterson, & Thorsteinn Rögnvaldsson. (1990). Finding gluon jets with a neural trigger. Physical Review Letters. 65(11). 1321–1324. 63 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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