Peter Knabner

4.0k citations
181 papers · 2.9k · h-index 31

Impact in

Papers in

Peter Knabner

163 papers receiving 2.7k citations

Peers

Peter Knabner
Comparison fields: 5 of 117
  • Computational Theory and Mathematics 1.1k
  • Environmental Engineering 944
  • Computational Mechanics 1.3k
  • Numerical Analysis 329
  • Mathematical Physics 280
Replace C.J. van Duijn with:
C.J. van Duijn Netherlands
Florin A. Radu Norway
Raimund Bürger Chile
Ulrich Hornung Germany
Jérôme Jaffré France
Luca Mazzei United Kingdom
Francisco J. Valdés‐Parada Mexico
Bernd Flemisch Germany
L. Elliott United Kingdom
J. Alberto Ochoa‐Tapia Mexico
Peter Knabner relative to C.J. van Duijn Netherlands C.J. van Duijn's profile →
Citations per field
00.5×3.0×
C.J. van Duijn · 1×
Citations per year

Countries citing papers authored by Peter Knabner

Since Specialization
Citations

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

Fields of papers citing papers by Peter Knabner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Knabner, 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 Peter Knabner Line = papers co-authored together Peter Knabner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003156
2 2004126
3 201999
4 200475
5 199268
6 199663
7 200461
8 200861
9 201958
10 199558
11 200756
12 200456
13 199756
14 200554
15 199153
16 199852
17 201050
18 200242
19 200942
20 200441

About Peter Knabner

Peter Knabner is a scholar working on Computational Theory and Mathematics, Computational Mechanics, Environmental Engineering, Civil and Structural Engineering and Numerical Analysis, having authored 181 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (71 papers), Advanced Numerical Methods in Computational Mathematics (58 papers), Groundwater flow and contamination studies (48 papers), Soil and Unsaturated Flow (20 papers), Differential Equations and Numerical Methods (19 papers), Numerical methods in inverse problems (17 papers), Computational Fluid Dynamics and Aerodynamics (14 papers) and CO2 Sequestration and Geologic Interactions (12 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Environmental Engineering (944 citations), Computational Mechanics (1.3k citations), Numerical Analysis (329 citations) and Mathematical Physics (280 citations). Peter Knabner has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Florin A. Radu, Lutz Angermann, I. Pop, C.J. van Duijn, Markus Bause, Nadja Ray, John W. Barrett, Raphael Schulz, Andreas Rupp and Kai Uwe Totsche. Their work appears in journals such as Computational Geosciences, Advances in Water Resources, SIAM Journal on Numerical Analysis, Water Resources Research and Numerische Mathematik.

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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