Tillmann Falck

713 total citations
12 papers, 340 citations indexed

About

Tillmann Falck is a scholar working on Control and Systems Engineering, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Tillmann Falck has authored 12 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 7 papers in Artificial Intelligence and 3 papers in Civil and Structural Engineering. Recurrent topics in Tillmann Falck's work include Control Systems and Identification (9 papers), Fault Detection and Control Systems (6 papers) and Neural Networks and Applications (6 papers). Tillmann Falck is often cited by papers focused on Control Systems and Identification (9 papers), Fault Detection and Control Systems (6 papers) and Neural Networks and Applications (6 papers). Tillmann Falck collaborates with scholars based in Belgium, Sweden and Germany. Tillmann Falck's co-authors include Johan A. K. Suykens, Bart De Moor, Siamak Mehrkanoon, Kristiaan Pelckmans, Léon-Charles Tranchevent, Yves Moreau, Anneleen Daemen, Shi Yu, Andres Milioto and Jens Behley and has published in prestigious journals such as BMC Bioinformatics, IEEE Transactions on Neural Networks and Learning Systems and Control Engineering Practice.

In The Last Decade

Tillmann Falck

12 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tillmann Falck Belgium	8	123	90	55	43	41	12	340
A. Monin France	8	65 0.5×	105 1.2×	81 1.5×	116 2.7×	10 0.2×	33	443
Yao Chou China	9	117 1.0×	132 1.5×	122 2.2×	13 0.3×	25 0.6×	12	355
Rongbo Wang China	7	151 1.2×	81 0.9×	33 0.6×	18 0.4×	17 0.4×	34	323
Beibei Wang China	10	33 0.3×	91 1.0×	68 1.2×	15 0.3×	14 0.3×	22	285
Zhibin Zhang China	11	78 0.6×	37 0.4×	47 0.9×	20 0.5×	9 0.2×	47	340
Shankarachary Ragi United States	11	50 0.4×	118 1.3×	179 3.3×	20 0.5×	10 0.2×	31	483
Anthony Zaknich Australia	12	102 0.8×	242 2.7×	64 1.2×	13 0.3×	8 0.2×	58	494
Lili Han China	11	389 3.2×	90 1.0×	36 0.7×	11 0.3×	8 0.2×	36	543
Behrouz Safarinejadian Iran	14	279 2.3×	167 1.9×	26 0.5×	2 0.0×	26 0.6×	65	492
Mohd Zafri Baharuddin Malaysia	10	41 0.3×	37 0.4×	102 1.9×	9 0.2×	15 0.4×	49	375

Countries citing papers authored by Tillmann Falck

Since Specialization

Citations

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

Fields of papers citing papers by Tillmann Falck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tillmann Falck

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

All Works

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12 of 12 papers shown

Milioto, Andres, et al.. (2021). Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping. IEEE Robotics and Automation Letters. 6(2). 3599–3606. 49 indexed citations

Mehrkanoon, Siamak, Tillmann Falck, & Johan A. K. Suykens. (2012). Parameter Estimation for Time Varying Dynamical Systems using Least Squares Support Vector Machines. IFAC Proceedings Volumes. 45(16). 1300–1305. 19 indexed citations

Falck, Tillmann, Philippe Dreesen, Kris De Brabanter, et al.. (2012). Least-Squares Support Vector Machines for the identification of Wiener–Hammerstein systems. Control Engineering Practice. 20(11). 1165–1174. 48 indexed citations

Mehrkanoon, Siamak, Tillmann Falck, & Johan A. K. Suykens. (2012). Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines. IEEE Transactions on Neural Networks and Learning Systems. 23(9). 1356–1367. 63 indexed citations

Falck, Tillmann, Henrik Ohlsson, Lennart Ljung, Johan A. K. Suykens, & Bart De Moor. (2011). Segmentation of time series from nonlinear dynamical systems. IFAC Proceedings Volumes. 44(1). 13209–13214. 6 indexed citations

Yu, Shi, Tillmann Falck, Anneleen Daemen, et al.. (2010). L2-norm multiple kernel learning and its application to biomedical data fusion. BMC Bioinformatics. 11(1). 309–309. 90 indexed citations

Falck, Tillmann, Johan A. K. Suykens, & Bart De Moor. (2010). Linear parametric noise models for Least Squares Support Vector Machines. 6389–6394. 5 indexed citations

Ojeda, Fabian, Tillmann Falck, Bart De Moor, & Johan A. K. Suykens. (2010). Polynomial componentwise LS-SVM: Fast variable selection using low rank updates. 1–7. 3 indexed citations

Falck, Tillmann, Johan A. K. Suykens, J. Schoukens, & Bart De Moor. (2010). Nuclear norm regularization for overparametrized Hammerstein systems. 31. 7202–7207. 12 indexed citations

10.

Falck, Tillmann, Kristiaan Pelckmans, Johan A. K. Suykens, & Bart De Moor. (2009). Identification of Wiener-Hammerstein Systems using LS-SVMs. IFAC Proceedings Volumes. 42(10). 820–825. 33 indexed citations

11.

Falck, Tillmann, Johan A. K. Suykens, & Bart De Moor. (2009). Robustness analysis for Least Squares kernel based regression: an optimization approach. 7. 6774–6779. 8 indexed citations

12.

Espinoza, Marcelo, Tillmann Falck, Johan A. K. Suykens, & Bart De Moor. (2008). Time Series Prediction using LS-SVMs. 159–168. 4 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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