Nico Görnitz

494 total citations
19 papers, 243 citations indexed

About

Nico Görnitz is a scholar working on Molecular Biology, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Nico Görnitz has authored 19 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Nico Görnitz's work include Genomics and Phylogenetic Studies (4 papers), Neural dynamics and brain function (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Nico Görnitz is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Neural dynamics and brain function (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Nico Görnitz collaborates with scholars based in Germany, United States and South Korea. Nico Görnitz's co-authors include Klaus‐Robert Müller, Marius Kloft, Ulf Brefeld, Konrad Rieck, Shinichi Nakajima, Marina Höhne, Juan Antonio Rodríguez, Jamal Abdul Nasir, Christoph Lippert and Eric P. Xing and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Nico Görnitz

19 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nico Görnitz Germany	10	123	63	50	32	25	19	243
Haixia Long China	9	74 0.6×	71 1.1×	24 0.5×	17 0.5×	49 2.0×	24	260
Mahito Sugiyama Japan	9	150 1.2×	67 1.1×	41 0.8×	37 1.2×	28 1.1×	29	320
Guohua Dong China	12	72 0.6×	48 0.8×	50 1.0×	9 0.3×	143 5.7×	29	326
Zhiqun Chen China	7	136 1.1×	24 0.4×	64 1.3×	26 0.8×	17 0.7×	30	303
Grant Dick New Zealand	11	241 2.0×	59 0.9×	44 0.9×	21 0.7×	15 0.6×	42	337
Shanshan Zheng China	9	36 0.3×	28 0.4×	51 1.0×	13 0.4×	68 2.7×	27	270
Yizhi Huang China	8	48 0.4×	50 0.8×	81 1.6×	30 0.9×	11 0.4×	29	261
Dror Fried United States	7	95 0.8×	30 0.5×	30 0.6×	9 0.3×	52 2.1×	12	205
Andrej Dobnikar Slovenia	9	87 0.7×	96 1.5×	18 0.4×	11 0.3×	36 1.4×	29	267

Countries citing papers authored by Nico Görnitz

Since Specialization

Citations

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

Fields of papers citing papers by Nico Görnitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nico Görnitz

This figure shows the co-authorship network connecting the top 25 collaborators of Nico Görnitz. A scholar is included among the top collaborators of Nico Görnitz 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 Nico Görnitz. Nico Görnitz 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

Rodríguez, Juan Antonio, et al.. (2021). DeepCOMBI: explainable artificial intelligence for the analysis and discovery in genome-wide association studies. NAR Genomics and Bioinformatics. 3(3). lqab065–lqab065. 31 indexed citations

Hockley, James R.F., et al.. (2019). Using transfer learning from prior reference knowledge to improve the clustering of single-cell RNA-Seq data. Scientific Reports. 9(1). 20353–20353. 21 indexed citations

Müller, Klaus‐Robert, et al.. (2017). Minimizing trust leaks for robust Sybil detection. International Conference on Machine Learning. 1520–1528. 7 indexed citations

Lee, Seunghak, Nico Görnitz, Eric P. Xing, David Heckerman, & Christoph Lippert. (2017). Ensembles of Lasso Screening Rules. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(12). 2841–2852. 18 indexed citations

Görnitz, Nico, et al.. (2017). Porosity estimation by semi-supervised learning with sparsely available labeled samples. Computers & Geosciences. 106. 33–48. 17 indexed citations

Kloft, Marius, et al.. (2017). ML2Motif—Reliable extraction of discriminative sequence motifs from learning machines. PLoS ONE. 12(3). e0174392–e0174392. 5 indexed citations

Görnitz, Nico, et al.. (2017). Transductive Regression for Data With Latent Dependence Structure. IEEE Transactions on Neural Networks and Learning Systems. 29(7). 2743–2756. 6 indexed citations

Görnitz, Nico, et al.. (2017). Support Vector Data Descriptions and $k$ -Means Clustering: One Class?. IEEE Transactions on Neural Networks and Learning Systems. 29(9). 3994–4006. 24 indexed citations

Görnitz, Nico, et al.. (2015). SVM2Motif—Reconstructing Overlapping DNA Sequence Motifs by Mimicking an SVM Predictor. PLoS ONE. 10(12). e0144782–e0144782. 3 indexed citations

10.

Porbadnigk, Anne K., Nico Görnitz, Claudia Sannelli, et al.. (2015). Extracting latent brain states — Towards true labels in cognitive neuroscience experiments. NeuroImage. 120. 225–253. 11 indexed citations

11.

Görnitz, Nico, Anne K. Porbadnigk, Alexander Binder, et al.. (2014). Learning and Evaluation in Presence of Non-i.i.d. Label Noise. Journal of Machine Learning Research. 33. 293–302. 1 indexed citations

12.

Sreedharan, Vipin T., Sebastian J. Schultheiß, Géraldine Jean, et al.. (2014). Oqtans: a multifunctional workbench for RNA-seq data analysis. BMC Bioinformatics. 15(S3). 3 indexed citations

13.

Nasir, Jamal Abdul, Nico Görnitz, & Ulf Brefeld. (2014). An Off-the-shelf Approach to Authorship Attribution. 12 indexed citations

14.

Sreedharan, Vipin T., Sebastian J. Schultheiß, Géraldine Jean, et al.. (2014). Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis. Bioinformatics. 30(9). 1300–1301. 12 indexed citations

15.

Porbadnigk, Anne K., Nico Görnitz, Claudia Sannelli, et al.. (2014). When brain and behavior disagree: Tackling systematic label noise in EEG data with machine learning. 1–4. 5 indexed citations

16.

Görnitz, Nico, et al.. (2013). Efficient Algorithms for Exact Inference in Sequence Labeling SVMs. IEEE Transactions on Neural Networks and Learning Systems. 25(5). 870–881. 11 indexed citations

17.

Porbadnigk, Anne K., Nico Görnitz, Marius Kloft, & Klaus‐Robert Müller. (2013). Decoding Brain States during Auditory Perception by Supervising Unsupervised Learning. Journal of Computing Science and Engineering. 7(2). 112–121. 4 indexed citations

18.

Schultheiß, Sebastian J., Géraldine Jean, Jonas Behr, et al.. (2011). Oqtans: a Galaxy-integrated workflow for quantitative transcriptome analysis from NGS Data. BMC Bioinformatics. 12(S11). 3 indexed citations

19.

Görnitz, Nico, Marius Kloft, Konrad Rieck, & Ulf Brefeld. (2009). Active learning for network intrusion detection. 47–54. 49 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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