Eberhard Schock

714 citations
42 papers · 567 · h-index 11

Impact in

Papers in

Eberhard Schock

38 papers receiving 497 citations

Peers

Eberhard Schock
Comparison fields: 5 of 45
  • Mathematical Physics 453
  • Applied Mathematics 234
  • Numerical Analysis 102
  • Computational Theory and Mathematics 123
  • Statistics and Probability 42
Replace В. К. Иванов with:
В. К. Иванов
J. Barros-Neto United States
Robert Plato Germany
John Locker United States
Vitalii P. Tanana
Shin-ichi Nakagiri Japan
Abdollah Shidfar Iran
Dang Duc Trong Vietnam
Fabio Di Benedetto Italy
T. S. Angell United States
Eberhard Schock relative to В. К. Иванов В. К. Иванов's profile →
Citations per field
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В. К. Иванов · 1×
Citations per year

Countries citing papers authored by Eberhard Schock

Since Specialization
Citations

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

Fields of papers citing papers by Eberhard Schock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Eberhard Schock, 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 Eberhard Schock Line = papers co-authored together Eberhard Schock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005126
2 200355
3 198449
4 198548
5 200046
6 198538
7 198429
8 198422
9 198516
10 198613
11 198512
12 198511
13 199911
14 200311
15 19728
16 19717
17 19746
18 19866
19 19885
20 19985

About Eberhard Schock

Eberhard Schock is a scholar working on Mathematical Physics, Numerical Analysis, Applied Mathematics, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 567 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (20 papers), Iterative Methods for Nonlinear Equations (9 papers), Matrix Theory and Algorithms (8 papers), Statistical and numerical algorithms (6 papers), Electromagnetic Scattering and Analysis (5 papers), Advanced Mathematical Modeling in Engineering (5 papers), Image and Signal Denoising Methods (5 papers) and Advanced Banach Space Theory (4 papers). The work is most often cited by research in Mathematical Physics (453 citations), Applied Mathematics (234 citations), Numerical Analysis (102 citations), Computational Theory and Mathematics (123 citations) and Statistics and Probability (42 citations). Eberhard Schock has collaborated with scholars based in Germany, Ukraine and United States. Frequent co-authors include Sergei V. Pereverzev, M. Thamban Nair, M. S. Ramanujan, Ulrich Tautenhahn, Charles W. Groetsch, Claus Müller and Diethard Pallaschke. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Zeitschrift für Analysis und ihre Anwendungen, Integral Equations and Operator Theory, Mathematische Zeitschrift and Journal of Approximation Theory.

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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