Peter R. Kramer

2.9k total citations
86 papers, 2.1k citations indexed

About

Peter R. Kramer is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Peter R. Kramer has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 12 papers in Statistical and Nonlinear Physics and 12 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Peter R. Kramer's work include Nonlinear Optical Materials Research (12 papers), Metabolism and Genetic Disorders (10 papers) and Fluid Dynamics and Turbulent Flows (8 papers). Peter R. Kramer is often cited by papers focused on Nonlinear Optical Materials Research (12 papers), Metabolism and Genetic Disorders (10 papers) and Fluid Dynamics and Turbulent Flows (8 papers). Peter R. Kramer collaborates with scholars based in United States, Germany and United Kingdom. Peter R. Kramer's co-authors include Andrew J. Majda, Rüdiger Wortmann, Paul J. Atzberger, C. Glania, Charles S. Peskin, Sonja Lebus, H Brynger, C Jacobs, Wing Aj and Ralf Matschiner and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Peter R. Kramer

82 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter R. Kramer United States	24	427	362	306	269	245	86	2.1k
Hiroshi Watanabe Japan	37	503 1.2×	521 1.4×	135 0.4×	341 1.3×	132 0.5×	231	5.3k
Yukio Saitō Japan	42	152 0.4×	1.3k 3.5×	225 0.7×	445 1.7×	68 0.3×	388	7.1k
Takao Ohta Japan	42	176 0.4×	2.3k 6.4×	519 1.7×	514 1.9×	82 0.3×	201	6.9k
Peter Dawson Canada	35	179 0.4×	954 2.6×	446 1.5×	486 1.8×	68 0.3×	148	3.6k
Pabitra N. Sen United States	34	67 0.2×	598 1.7×	152 0.5×	421 1.6×	154 0.6×	87	4.8k
Osamu Matsuoka Japan	31	118 0.3×	546 1.5×	26 0.1×	553 2.1×	364 1.5×	226	4.2k
H. W. Müller Germany	41	231 0.5×	2.7k 7.5×	358 1.2×	1.2k 4.4×	69 0.3×	298	6.1k
G. M. Bernstein United States	35	42 0.1×	333 0.9×	55 0.2×	102 0.4×	83 0.3×	99	5.1k
Donald G. Miller United States	30	16 0.0×	553 1.5×	307 1.0×	836 3.1×	268 1.1×	158	3.4k
Andreas Werner Germany	37	181 0.4×	1.2k 3.3×	77 0.3×	613 2.3×	76 0.3×	253	4.8k

Countries citing papers authored by Peter R. Kramer

Since Specialization

Citations

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

Fields of papers citing papers by Peter R. Kramer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter R. Kramer

This figure shows the co-authorship network connecting the top 25 collaborators of Peter R. Kramer. A scholar is included among the top collaborators of Peter R. Kramer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter R. Kramer. Peter R. Kramer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Forth, Scott, et al.. (2025). PRC1 resists microtubule sliding in two distinct resistive modes due to variations in the separation between overlapping microtubules. Molecular Biology of the Cell. 36(10). ar115–ar115. 1 indexed citations

Kramer, Peter R., et al.. (2024). Statistical Mobility of Multicellular Colonies of Flagellated Swimming Cells. Bulletin of Mathematical Biology. 86(10). 125–125.

Kramer, Peter R., et al.. (2015). Leucocyte Counts and Complement Activation during Pump-Driven and Arteriovenous Haemofiltration. Contributions to nephrology. 36. 15–25.

Newhall, Katherine A., et al.. (2015). Synchrony in stochastically driven neuronal networks with complex topologies. Physical Review E. 91(5). 52806–52806. 1 indexed citations

Porporato, Amilcare, Peter R. Kramer, Massimo Cassiani, Edoardo Daly, & Jonathan C. Mattingly. (2011). Local kinetic interpretation of entropy production through reversed diffusion. Physical Review E. 84(4). 41142–41142. 2 indexed citations

Cai, David, Gregor Kovačič, Peter R. Kramer, et al.. (2010). Dynamics of current-based, Poisson driven, integrate-and-fire neuronal networks. Communications in Mathematical Sciences. 8(2). 541–600. 36 indexed citations

Newhall, Katherine A., Gregor Kovačič, Peter R. Kramer, & David Cai. (2010). Cascade-induced synchrony in stochastically driven neuronal networks. Physical Review E. 82(4). 41903–41903. 33 indexed citations

Atzberger, Paul J., Peter R. Kramer, & Charles S. Peskin. (2006). A Stochastic Immersed Boundary Method for Biological Fluid Dynamics at Microscopic Length Scales. 1 indexed citations

Kramer, Peter R., Joseph A. Biello, & Yuri V. Lvov. (2003). Application of weak turbulence theory to FPU model. 2003. 482. 4 indexed citations

10.

Biello, Joseph A., Peter R. Kramer, & Yuri V. Lvov. (2003). Stages of Energy Transfer in the FPU Model. 2003. 113. 7 indexed citations

11.

Eijnden, Eric Vanden, Andrew J. Majda, & Peter R. Kramer. (1998). Testing approximate closures for turbulent diffusion on some model flows. APS Division of Fluid Dynamics Meeting Abstracts. 2 indexed citations

12.

Kramer, Peter R.. (1997). Passive scalar scaling regimes in a rapidly decorrelating turbulent flow. UMI eBooks. 4852. 2 indexed citations

13.

Kramer, Peter R. & Thomas Nowak. (1988). The Preparation and Characterization of Cr(III) and Co(III) Complexes of GDP and GTP and Their Interactions with Avian Phosphoenolpyruvate Carboxykinas. Journal of Inorganic Biochemistry. 32(2). 135–151. 5 indexed citations

14.

Kramer, Peter R., M. Broyer, Brunner Fp, et al.. (1985). Combined report on regular dialysis and transplantation in Europe, XIV, 1983.. PubMed. 21. 2–65. 31 indexed citations

15.

Kramer, Peter R.. (1985). Arteriovenous hemofiltration : a kidney replacement therapy for intensive care unit. Springer eBooks. 2 indexed citations

16.

Kirchner, K., Peter R. Kramer, & H. J. Rehm. (1985). Absorption and oxidation of pollutants using bacterial cultures (monocultures). 5 indexed citations

17.

Kramer, Peter R., M. Broyer, Brunner Fp, et al.. (1983). Combined report on regular dialysis and transplantation in Europe, XII, 1981.. PubMed. 19. 4–59. 50 indexed citations

18.

Broyer, M., Donckerwolcke Ra, Brunner Fp, et al.. (1981). Combined report on regular dialysis and transplantation of children in Europe, 1980.. PubMed. 18. 60–87. 21 indexed citations

19.

Wing, A. J., F Brunner, H Brynger, et al.. (1980). Dialysis dementia in Europe. Report from the Registration Committee of the European Dialysis and Transplant Association.. PubMed. 2(8187). 190–2. 7 indexed citations

20.

Kramer, Peter R., et al.. (1978). Reactions of blood pressure and body spaces to hemofiltration treatment.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 24. 687–9. 15 indexed citations

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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