Eugene Walach

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

Impact in

Papers in

Eugene Walach

28 papers receiving 1.1k citations

Peers

Eugene Walach
Comparison fields: 5 of 93
  • Signal Processing 486
  • Computational Mechanics 507
  • Control and Systems Engineering 250
  • Computer Vision and Pattern Recognition 217
  • Numerical Analysis 48
Replace Takashi Yahagi with:
Takashi Yahagi Japan
Zhiqiang He China
David W. Lin Taiwan
P. Agathoklis Canada
Zhaoshui He China
Tarun Kumar Rawat India
P. Strobach Germany
Saikat Chatterjee Sweden
Giuseppe Thadeu Freitas de Abreu Germany
Azzedine Zerguine Saudi Arabia
Eugene Walach relative to Takashi Yahagi Japan Takashi Yahagi's profile →
Citations per field
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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-authors

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

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984433
2 2000152
3 1984118
4 199275
5 198172
6
Adaptive Inverse Control: A Signal Processing Approach
200769
7 201534
8 198233
9 201226
10 198925
11 198023
12 200923
13 198220
14 198317
15 200517
16 200215
17 198110
18 198610
19 19848
20 20158

About Eugene Walach

Eugene Walach is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Theory and Mathematics, Computational Mechanics and Artificial Intelligence, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (5 papers), Control Systems and Identification (4 papers), Image Retrieval and Classification Techniques (4 papers), Ultrasound Imaging and Elastography (3 papers), Quantum chaos and dynamical systems (3 papers), Handwritten Text Recognition Techniques (3 papers), Image and Signal Denoising Methods (3 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). The work is most often cited by research in Signal Processing (486 citations), Computational Mechanics (507 citations), Control and Systems Engineering (250 citations), Computer Vision and Pattern Recognition (217 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, R. G. Casey, David Ferguson, Khalid Mohiuddin, Tuvia Gilat, Judith Weiß, Moshe Graif, Charles S. Irving and Ada Kessler. 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 Machine Vision and Applications.

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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