Peter Knabner

3.9k citations
179 papers · 3k · h-index 31

Impact in

Papers in

Peter Knabner

163 papers receiving 2.8k citations

Peers

Peter Knabner
Comparison fields: 5 of 96
  • Environmental Engineering 892
  • Numerical Analysis 261
  • Computational Theory and Mathematics 836
  • Computational Mechanics 1k
  • Applied Mathematics 252
Replace C.J. van Duijn with:
C.J. van Duijn Netherlands
I. Pop Netherlands
Ulrich Hornung Germany
Todd J. Arbogast United States
Francisco J. Valdés‐Parada Mexico
Faruk Civan United States
J. Alberto Ochoa‐Tapia Mexico
Vladimir M. Entov Russia
Christian Moyne France
Marcio Arab Murad Brazil
Peter Knabner relative to C.J. van Duijn Netherlands C.J. van Duijn's profile →
Citations per field
00.5×1.5×2×2.4×
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 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003160
2 2004136
3 2019112
4 200478
5 199267
6 200866
7 200463
8 201961
9 199560
10 199660
11 199758
12 200758
13 200457
14 199155
15 200553
16 199852
17 201050
18 200943
19 201243
20 200242

About Peter Knabner

Peter Knabner is a scholar working on Environmental Engineering, Computational Mechanics, Computational Theory and Mathematics, Modeling and Simulation and Applied Mathematics, having authored 179 papers that have together received 3k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (57 papers), Groundwater flow and contamination studies (57 papers), Advanced Mathematical Modeling in Engineering (37 papers), Differential Equations and Boundary Problems (17 papers), Numerical methods in inverse problems (11 papers), Heat and Mass Transfer in Porous Media (10 papers), Differential Equations and Numerical Methods (9 papers) and Mathematical and Computational Methods (8 papers). The work is most often cited by research in Environmental Engineering (892 citations), Numerical Analysis (261 citations), Computational Theory and Mathematics (836 citations), Computational Mechanics (1k citations) and Applied Mathematics (252 citations). Peter Knabner has collaborated with scholars based in Germany, Netherlands and Romania. Frequent co-authors include Florin A. Radu, Lutz Angermann, I. Pop, C.J. van Duijn, Nadja Ray, Markus Bause, 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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