M. Kube

831 total citations
9 papers, 249 citations indexed

About

M. Kube is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, M. Kube has authored 9 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Cognitive Neuroscience and 2 papers in Computer Networks and Communications. Recurrent topics in M. Kube's work include Image and Signal Denoising Methods (3 papers), Neural dynamics and brain function (3 papers) and Neural Networks and Applications (2 papers). M. Kube is often cited by papers focused on Image and Signal Denoising Methods (3 papers), Neural dynamics and brain function (3 papers) and Neural Networks and Applications (2 papers). M. Kube collaborates with scholars based in United States and Germany. M. Kube's co-authors include John L. Hudson, Ramiro Rico-Martı́nez, Ioannis G. Kevrekidis, Katharina Krischer, Robert Weigel, Richard C. Rose, I.G. Kevrekidis, Alan S. Lapedes, Robert M. Farber and Otto E. Rössler and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Chemical Engineering Science and Chaos Solitons & Fractals.

In The Last Decade

M. Kube

9 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Kube United States	7	118	77	61	48	25	9	249
Yanpeng Zheng China	11	50 0.4×	24 0.3×	40 0.7×	21 0.4×	11 0.4×	42	298
N. Nefedov Finland	8	152 1.3×	154 2.0×	77 1.3×	85 1.8×	17 0.7×	32	378
Junzheng Jiang China	10	53 0.4×	137 1.8×	103 1.7×	40 0.8×	41 1.6×	47	336
Carmeliza Navasca United States	9	48 0.4×	35 0.5×	38 0.6×	27 0.6×	73 2.9×	22	351
S.H. Isabelle United States	5	250 2.1×	72 0.9×	74 1.2×	138 2.9×	12 0.5×	6	374
Pablo Ezzatti Uruguay	10	59 0.5×	48 0.6×	32 0.5×	93 1.9×	52 2.1×	73	360
Oğuzhan Teke United States	9	107 0.9×	184 2.4×	28 0.5×	49 1.0×	85 3.4×	28	325
Hadrien Montanelli United States	7	64 0.5×	71 0.9×	22 0.4×	12 0.3×	49 2.0×	12	196
Jiaxi Ying Hong Kong	9	15 0.1×	51 0.7×	72 1.2×	18 0.4×	91 3.6×	27	277
Yiqiao Zhong United States	7	37 0.3×	79 1.0×	24 0.4×	18 0.4×	81 3.2×	14	295

Countries citing papers authored by M. Kube

Since Specialization

Citations

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

Fields of papers citing papers by M. Kube

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Kube

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

All Works

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9 of 9 papers shown

1.

Kube, M., et al.. (2013). An FPGA-Based Fully Synchronized Design of a Bilateral Filter for Real-Time Image Denoising. IEEE Transactions on Industrial Electronics. 61(8). 4093–4104. 53 indexed citations

2.

Kube, M., et al.. (2011). Image denoising using bilateral filter with noise-adaptive parameter tuning. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 4515–4520. 8 indexed citations

3.

Kube, M., et al.. (2009). A synchronous FPGA design of a bilateral filter for image processing. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 13. 1990–1995. 11 indexed citations

4.

Kube, M., et al.. (2009). Improvements in Detector Design for X-ray Inspection of Cast Parts. SAE International Journal of Materials and Manufacturing. 2(1). 134–139. 1 indexed citations

5.

Kevrekidis, I.G., et al.. (1993). Discrete- vs. Continuous-Time Nonlinear Signal Processing: Attractors, Transitions and Parallel Implementation Issues. 1475–1479. 6 indexed citations

6.

Kube, M., Otto E. Rössler, & John L. Hudson. (1993). A “superfat” chaotic attractor. Chaos Solitons & Fractals. 3(2). 141–148. 10 indexed citations

7.

Kube, M., et al.. (1993). Local analysis of time series from the oscillatory electrocatalytic reduction of hydrogen peroxide. Chaos Solitons & Fractals. 3(5). 495–507. 2 indexed citations

8.

Rico-Martı́nez, Ramiro, Katharina Krischer, Ioannis G. Kevrekidis, M. Kube, & John L. Hudson. (1992). DISCRETE- vs. CONTINUOUS-TIME NONLINEAR SIGNAL PROCESSING OF Cu ELECTRODISSOLUTION DATA. Chemical Engineering Communications. 118(1). 25–48. 104 indexed citations

9.

Hudson, John L., et al.. (1990). Nonlinear signal processing and system identification: applications to time series from electrochemical reactions. Chemical Engineering Science. 45(8). 2075–2081. 54 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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