Peter Knabner

4.0k citations
140 papers · 2.6k · h-index 30

Impact in

Papers in

Peter Knabner

135 papers receiving 2.4k citations

Peers

Peter Knabner
Comparison fields: 5 of 109
  • Computational Theory and Mathematics 987
  • Environmental Engineering 855
  • Computational Mechanics 1.2k
  • Numerical Analysis 279
  • Mathematical Physics 236
Replace C.J. van Duijn with:
C.J. van Duijn Netherlands
Florin A. Radu Norway
Ulrich Hornung Germany
Jérôme Jaffré France
Francisco J. Valdés‐Parada Mexico
Luca Mazzei United Kingdom
Bernd Flemisch Germany
J. Alberto Ochoa‐Tapia Mexico
L. Elliott United Kingdom
Jean‐Louis Auriault France
Peter Knabner relative to C.J. van Duijn Netherlands C.J. van Duijn's profile →
Citations per field
00.5×3.1×
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 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003140
2 2004116
3 201999
4 200472
5 199262
6 200858
7 201957
8 199656
9 200454
10 200453
11 199752
12 199551
13 200751
14 200550
15 199148
16 201048
17 199846
18 200941
19 200440
20 201638

About Peter Knabner

Peter Knabner is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Environmental Engineering, Numerical Analysis and Civil and Structural Engineering, having authored 140 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (58 papers), Advanced Numerical Methods in Computational Mathematics (50 papers), Groundwater flow and contamination studies (43 papers), Soil and Unsaturated Flow (17 papers), Differential Equations and Numerical Methods (17 papers), Numerical methods in inverse problems (14 papers), Computational Fluid Dynamics and Aerodynamics (13 papers) and CO2 Sequestration and Geologic Interactions (11 papers). The work is most often cited by research in Computational Theory and Mathematics (987 citations), Environmental Engineering (855 citations), Computational Mechanics (1.2k citations), Numerical Analysis (279 citations) and Mathematical Physics (236 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, Nadja Ray, Markus Bause, Raphael Schulz, John W. Barrett, 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 Computers & Mathematics with 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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