P. Lamby

1.3k citations
35 papers · 457 indexed · h-index 15

Impact in

    • Reconstructive Surgery and Microvascular Techniques
    • Reconstructive Facial Surgery Techniques
    • Surgical site infection prevention

Papers in

P. Lamby

32 papers receiving 450 citations

Peers

P. Lamby
Comparison fields: 5 of 97
  • Computational Mathematics 4
  • Surgery 202
  • Critical Care and Intensive Care Medicine 23
  • Bioengineering 20
  • Nephrology 22
Replace Sonia Ippolito with:
Sonia Ippolito Italy
Hiroshi Natori Japan
Curt G. DeGroff United States
Concetta Torromeo Italy
K. Teramoto Japan
Sepideh Sefidbakht Iran
Ehud Gnessin United States
Gert Reiter Austria
H W Strauss United States
J. A. Sullivan United States
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Citations per field
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Citations per year

Countries citing papers authored by P. Lamby

Since Specialization
Citations

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

Fields of papers citing papers by P. Lamby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20240
4 20211
5 20204
6 20194
7 20199
8 201717
9 201711
10 20156
11 201121
12 201116
13 201028
14 20094
15 200913
16 200821
17 20082
18 200842
19 20088
20
Parametric multi-block grid generation and application to adaptive flow simulations
200716

About P. Lamby

P. Lamby is a scholar working on Computational Mathematics, Transplantation, Nephrology, Surgery and Pharmacy, having authored 35 papers that have together received 457 indexed citations. Recurring topics across this work include Reconstructive Surgery and Microvascular Techniques (14 papers), Acute Kidney Injury Research (6 papers), Ultrasound and Hyperthermia Applications (5 papers), Bone fractures and treatments (4 papers), MRI in cancer diagnosis (3 papers), Renal and Vascular Pathologies (3 papers), Organ and Tissue Transplantation Research (3 papers) and Trauma Management and Diagnosis (2 papers). The work is most often cited by research in Computational Mathematics (4 citations), Surgery (202 citations), Critical Care and Intensive Care Medicine (23 citations), Bioengineering (20 citations) and Nephrology (22 citations). P. Lamby has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Lukas Prantl, Sebastian Geis, E.M. Jung, Wolfgang Dahmen, Peter Binev, Ernst Michael Jung, Youssef Stiriba, F. Jung, Siegfried Müller and Stephan Schreml. Their work appears in journals such as Life, Journal of Computational and Applied Mathematics, Ultraschall in der Medizin - European Journal of Ultrasound, Clinical Hemorheology and Microcirculation and Scientific Reports.

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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