S. Lemm

959 total citations · 1 hit paper
7 papers, 745 citations indexed

About

S. Lemm is a scholar working on Signal Processing, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, S. Lemm has authored 7 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 3 papers in Cognitive Neuroscience and 3 papers in Artificial Intelligence. Recurrent topics in S. Lemm's work include EEG and Brain-Computer Interfaces (3 papers), Time Series Analysis and Forecasting (3 papers) and Chaos control and synchronization (2 papers). S. Lemm is often cited by papers focused on EEG and Brain-Computer Interfaces (3 papers), Time Series Analysis and Forecasting (3 papers) and Chaos control and synchronization (2 papers). S. Lemm collaborates with scholars based in Germany, United States and Netherlands. S. Lemm's co-authors include Gabriel Curio, K. Müller, Benjamin Blankertz, Christin Schäfer, Yevhen Hlushchuk, Jens Kohlmorgen, Klaus Pawelzik, Gunnar Rätsch, Risto J. Ilmoniemi and Klaus Linkenkaer‐Hansen and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, International Journal of Psychophysiology and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

In The Last Decade

S. Lemm

7 papers receiving 725 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.

Spatio-spectral filters for improving the classification of single trial EEG

2005 503 citations S. Lemm, Benjamin Blankertz et al. IEEE Transactions on Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Lemm Germany	5	698	364	260	131	119	7	745
TN Lal Germany	5	489 0.7×	194 0.5×	218 0.8×	71 0.5×	102 0.9×	8	569
Matthias Kaper Germany	5	600 0.9×	143 0.4×	303 1.2×	153 1.2×	146 1.2×	7	629
Na Lu China	13	608 0.9×	199 0.5×	294 1.1×	135 1.0×	207 1.7×	14	703
François Cabestaing France	6	600 0.9×	91 0.3×	307 1.2×	154 1.2×	126 1.1×	15	703
B. Obermaier Austria	8	1.1k 1.6×	254 0.7×	613 2.4×	232 1.8×	273 2.3×	10	1.2k
Pablo Díez Argentina	14	603 0.9×	163 0.4×	282 1.1×	158 1.2×	100 0.8×	25	659
Kavitha P. Thomas Singapore	16	662 0.9×	180 0.5×	242 0.9×	181 1.4×	113 0.9×	27	718
Hyohyeong Kang South Korea	7	360 0.5×	138 0.4×	121 0.5×	71 0.5×	74 0.6×	11	454
Karl McCreadie United Kingdom	11	537 0.8×	103 0.3×	231 0.9×	123 0.9×	142 1.2×	25	603
C. Guger Austria	5	932 1.3×	149 0.4×	563 2.2×	198 1.5×	207 1.7×	8	973

Countries citing papers authored by S. Lemm

Since Specialization

Citations

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

Fields of papers citing papers by S. Lemm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Lemm

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Nikulin, Vadim V., Klaus Linkenkaer‐Hansen, Guido Nolte, et al.. (2008). A novel mechanism for evoked responses in the human brain. International Journal of Psychophysiology. 69(3). 214–214. 1 indexed citations

2.

Lemm, S., Gabriel Curio, Yevhen Hlushchuk, & K. Müller. (2006). Enhancing the signal-to-noise ratio of ICA-based extracted ERPs. IEEE Transactions on Biomedical Engineering. 53(4). 601–607. 62 indexed citations

3.

Lemm, S., Benjamin Blankertz, Gabriel Curio, & K. Müller. (2005). Spatio-spectral filters for improving the classification of single trial EEG. IEEE Transactions on Biomedical Engineering. 52(9). 1541–1548. 503 indexed citations breakdown →

4.

Lemm, S., Christin Schäfer, & Gabriel Curio. (2004). BCI competition 2003-data set III: probabilistic modeling of sensorimotor /spl mu/ rhythms for classification of imaginary hand movements. IEEE Transactions on Biomedical Engineering. 51(6). 1077–1080. 156 indexed citations

5.

Pawelzik, Klaus, et al.. (2003). Hidden Markov mixtures of experts for prediction of non-stationary dynamics. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 195–204. 3 indexed citations

6.

Kohlmorgen, Jens, S. Lemm, Gunnar Rätsch, & K. Müller. (2002). Analysis of nonstationary time series by mixtures of self-organizing predictors. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1. 85–94. 4 indexed citations

7.

Kohlmorgen, Jens & S. Lemm. (2002). An on-line method for segmentation and identification of non-stationary time series. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 113–122. 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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