Eugene Walach

1.8k citations
28 papers · 1.2k indexed · h-index 16

Eugene Walach

28 papers receiving 1.1k citations

Peers

Eugene Walach
Comparison fields: 5 of 96
  • Signal Processing 484
  • Computational Mechanics 504
  • Control and Systems Engineering 250
  • Computer Vision and Pattern Recognition 220
  • Numerical Analysis 48
Replace Takashi Yahagi with:
Takashi Yahagi Japan
Ralf Peeters Netherlands
Zhiqiang He China
Elaine Hale United States
David W. Lin Taiwan
P. Agathoklis Canada
Shuxue Ding Japan
Zhaoshui He China
Krishna R. Narayanan United States
Jean‐Michel Muller France
Eugene Walach relative to Takashi Yahagi Japan Takashi Yahagi's profile →
Citations per field
00.5×11.5×
Takashi Yahagi · 1×
Citations per year

Countries citing papers authored by Eugene Walach

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Walach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Eugene Walach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eugene Walach Line = papers co-authored together Eugene Walach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201531
2 20158
3 201226
4 20113
5 200923
6
Adaptive Inverse Control: A Signal Processing Approach
200769
7 200215
8 2000152
9 199275
10 19903
11 19851
12 1984119
13 198317
14 19821
15 198220
16 198233
17 19827
18 19813
19 198110
20 198023

About Eugene Walach

Eugene Walach is a scholar working on Numerical Analysis, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Control and Systems Engineering and Signal Processing, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (5 papers), Ultrasound Imaging and Elastography (4 papers), Image Retrieval and Classification Techniques (4 papers), Control Systems and Identification (4 papers), Image and Signal Denoising Methods (3 papers), Handwritten Text Recognition Techniques (3 papers), Quantum chaos and dynamical systems (3 papers) and Polynomial and algebraic computation (2 papers). The work is most often cited by research in Signal Processing (484 citations), Computational Mechanics (504 citations), Control and Systems Engineering (250 citations), Computer Vision and Pattern Recognition (220 citations) and Numerical Analysis (48 citations). Eugene Walach has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Bernard Widrow, E. Zeheb, Khalid Mohiuddin, R. G. Casey, David Ferguson, Moshe Graif, Charles S. Irving, Ada Kessler, Tuvia Gilat and Judith Weiß. Their work appears in journals such as Investigative Radiology, International Journal of Circuit Theory and Applications, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Information Theory and International Journal of Computer Assisted Radiology and Surgery.

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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