M. J. Pearce

2.6k total citations
4 papers, 33 citations indexed

About

M. J. Pearce is a scholar working on Pulmonary and Respiratory Medicine, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience. According to data from OpenAlex, M. J. Pearce has authored 4 papers receiving a total of 33 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Pulmonary and Respiratory Medicine, 1 paper in Atomic and Molecular Physics, and Optics and 1 paper in Cognitive Neuroscience. Recurrent topics in M. J. Pearce's work include Quantum Information and Cryptography (1 paper), Laser-Matter Interactions and Applications (1 paper) and Dark Matter and Cosmic Phenomena (1 paper). M. J. Pearce is often cited by papers focused on Quantum Information and Cryptography (1 paper), Laser-Matter Interactions and Applications (1 paper) and Dark Matter and Cosmic Phenomena (1 paper). M. J. Pearce collaborates with scholars based in Sweden, Italy and India. M. J. Pearce's co-authors include Rose L. Ahlefeldt, Michael Hush, Matthew J. Sellars, NB Lincoln, D. Yeo, A. Vacchi, N. Zampa, V. Bonvicini, G. Zampa and M. Boezio and has published in prestigious journals such as Age and Ageing, Physical review. A and AIP conference proceedings.

In The Last Decade

M. J. Pearce

4 papers receiving 31 citations

Peers

M. J. Pearce
Xiaoyu Pi China
J. Howell United Kingdom
D. Dau South Korea
X. Luo China
Leonardo Lucchesi Italy
N. Woollett United States
Huiming Zeng China
Junichiro Kono Japan
Manuela Felicetti Netherlands
K. Wang China
Xiaoyu Pi China
M. J. Pearce
Citations per year, relative to M. J. Pearce M. J. Pearce (= 1×) peers Xiaoyu Pi

Countries citing papers authored by M. J. Pearce

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. J. Pearce

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

All Works

4 of 4 papers shown
1.
Ahlefeldt, Rose L., M. J. Pearce, Michael Hush, & Matthew J. Sellars. (2020). Quantum processing with ensembles of rare-earth ions in a stoichiometric crystal. Physical review. A. 101(1). 17 indexed citations
2.
Mocchiutti, E., M. Boezio, V. Bonvicini, et al.. (2006). The PAMELA electromagnetic calorimeter: performances. AIP conference proceedings. 867. 159–166. 3 indexed citations
3.
Yeo, D., et al.. (1996). SORT: A Validation Study with Stroke Patients. Age and Ageing. 25(2). 121–124. 5 indexed citations
4.
Lincoln, NB, et al.. (1996). Salford Objective Recognition Test. 8 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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2026