Philip Pearce

57 total papers · 622 total citations
21 papers, 411 citations indexed

About

Philip Pearce is a scholar working on Computational Mechanics, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Philip Pearce has authored 21 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 7 papers in Molecular Biology and 7 papers in Biomedical Engineering. Recurrent topics in Philip Pearce's work include Combustion and flame dynamics (6 papers), Molecular Communication and Nanonetworks (3 papers) and Micro and Nano Robotics (3 papers). Philip Pearce is often cited by papers focused on Combustion and flame dynamics (6 papers), Molecular Communication and Nanonetworks (3 papers) and Micro and Nano Robotics (3 papers). Philip Pearce collaborates with scholars based in United Kingdom, United States and Germany. Philip Pearce's co-authors include Jörn Dunkel, Joe͏̈l Daou, Rachel Mok, Praveen K. Singh, Knut Drescher, Raimo Hartmann, Boya Song, Francisco Díaz-Pascual, Hannah Jeckel and Dominic J. Skinner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Philip Pearce

20 papers receiving 409 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Philip Pearce	192	75	71	68	63	21	411
Fabian Czerwinski	120 0.6×	221 2.9×	14 0.2×	26 0.4×	38 0.6×	15	451
M. Mehdi Salek	168 0.9×	187 2.5×	38 0.5×	46 0.7×	29 0.5×	24	398
Ottavio A. Croze	72 0.4×	228 3.0×	32 0.5×	280 4.1×	26 0.4×	18	427
Boya Song	217 1.1×	64 0.9×	12 0.2×	74 1.1×	89 1.4×	10	404
Cyrille Claudet	221 1.2×	75 1.0×	47 0.7×	16 0.2×	4 0.1×	21	419
Janhavi S. Raut	60 0.3×	89 1.2×	15 0.2×	14 0.2×	15 0.2×	26	406
Avelino Javer	265 1.4×	132 1.8×	5 0.1×	37 0.5×	60 1.0×	14	456
Pablo Gutiérrez	227 1.2×	29 0.4×	40 0.6×	22 0.3×	36 0.6×	25	414
Vivek N. Prakash	45 0.2×	128 1.7×	172 2.4×	85 1.3×	19 0.3×	23	401
C. E. Hall	163 0.8×	22 0.3×	17 0.2×	15 0.2×	73 1.2×	17	382

Countries citing papers authored by Philip Pearce

Since Specialization

Citations

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

Fields of papers citing papers by Philip Pearce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Pearce

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Pearce. A scholar is included among the top collaborators of Philip Pearce 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 Philip Pearce. Philip Pearce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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