Eberhard Schock

704 citations
37 papers · 474 · h-index 11

Impact in

    • Numerical methods in inverse problems
    • Advanced Banach Space Theory
    • Statistical and numerical algorithms
    • Differential Equations and Boundary Problems

Papers in

Eberhard Schock

34 papers receiving 419 citations

Peers

Eberhard Schock
Comparison fields: 5 of 43
  • Mathematical Physics 380
  • Applied Mathematics 194
  • Numerical Analysis 86
  • Computational Theory and Mathematics 103
  • Statistics and Probability 35
Replace В. К. Иванов with:
В. К. Иванов Russia
Robert Plato Germany
J. Barros-Neto United States
Vitalii P. Tanana
H.-J. Reinhardt Germany
Antonio Leaci Italy
T. S. Angell United States
A. Shidfar Iran
John Locker United States
M. Yu. Kokurin Russia
Eberhard Schock relative to В. К. Иванов Russia В. К. Иванов's profile →
Citations per field
00.5×3.9×
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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005117
2 200350
3 198445
4 200041
5 198537
6 198429
7 198418
8 198516
9 198511
10 198611
11 200311
12 19859
13 19999
14 19728
15 19717
16 20045
17 19865
18 19745
19 19885
20 19995

About Eberhard Schock

Eberhard Schock is a scholar working on Mathematical Physics, Applied Mathematics, Computational Theory and Mathematics, Numerical Analysis and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 474 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (18 papers), Iterative Methods for Nonlinear Equations (7 papers), Statistical and numerical algorithms (6 papers), Matrix Theory and Algorithms (6 papers), Electromagnetic Scattering and Analysis (5 papers), Image and Signal Denoising Methods (5 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Advanced Banach Space Theory (3 papers). The work is most often cited by research in Mathematical Physics (380 citations), Applied Mathematics (194 citations), Numerical Analysis (86 citations), Computational Theory and Mathematics (103 citations) and Statistics and Probability (35 citations). Eberhard Schock has collaborated with scholars based in Germany, United States and India. Frequent co-authors include Sergei V. Pereverzev, M. Thamban Nair, M. S. Ramanujan, Ulrich Tautenhahn, C. W. Groetsch, Claus Müller and Diethard Pallaschke. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Numerische Mathematik, Integral Equations and Operator Theory, Journal of Approximation Theory and Zeitschrift für Analysis und ihre Anwendungen.

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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