Jack Paget

735 total citations
9 papers, 627 citations indexed

About

Jack Paget is a scholar working on Electronic, Optical and Magnetic Materials, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Jack Paget has authored 9 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electronic, Optical and Magnetic Materials, 5 papers in Biomedical Engineering and 5 papers in Materials Chemistry. Recurrent topics in Jack Paget's work include Gold and Silver Nanoparticles Synthesis and Applications (5 papers), Pickering emulsions and particle stabilization (4 papers) and Plasmonic and Surface Plasmon Research (2 papers). Jack Paget is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (5 papers), Pickering emulsions and particle stabilization (4 papers) and Plasmonic and Surface Plasmon Research (2 papers). Jack Paget collaborates with scholars based in United Kingdom, Germany and Israel. Jack Paget's co-authors include Joshua B. Edel, Alexei A. Kornyshev, Vladimir A. Turek, Michael P. Cecchini, Emma Cantisani, Piero Tiano, I. Sutherland, Anthony Kucernak, Michael Urbakh and Monica Marinescu and has published in prestigious journals such as Nature Communications, Nature Materials and ACS Nano.

In The Last Decade

Jack Paget

9 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jack Paget United Kingdom	8	386	274	254	131	73	9	627
Xiaoda Xu Australia	12	390 1.0×	239 0.9×	285 1.1×	85 0.6×	102 1.4×	14	592
Indranil Sarkar India	12	152 0.4×	166 0.6×	515 2.0×	61 0.5×	181 2.5×	24	709
Tsz Him Chow Hong Kong	13	331 0.9×	256 0.9×	291 1.1×	98 0.7×	117 1.6×	22	685
Dirk van Eck Netherlands	6	220 0.6×	203 0.7×	192 0.8×	94 0.7×	109 1.5×	7	536
Zhihua Sun China	9	508 1.3×	204 0.7×	447 1.8×	81 0.6×	109 1.5×	11	666
Eva Yazmin Santiago United States	11	300 0.8×	177 0.6×	336 1.3×	49 0.4×	63 0.9×	24	578
Dániel Zámbó Hungary	16	188 0.5×	202 0.7×	410 1.6×	79 0.6×	152 2.1×	64	716
Matthias Schaub Germany	9	46 0.1×	143 0.5×	130 0.5×	81 0.6×	156 2.1×	11	521
Koji Nishioka Japan	6	445 1.2×	177 0.6×	347 1.4×	89 0.7×	55 0.8×	11	555
Rajeev Gupta India	11	359 0.9×	201 0.7×	179 0.7×	59 0.5×	173 2.4×	22	548

Countries citing papers authored by Jack Paget

Since Specialization

Citations

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

Fields of papers citing papers by Jack Paget

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Paget

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

All Works

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9 of 9 papers shown

1.

Paget, Jack, Marco G. Mazza, Andrew J. Archer, & Tyler N. Shendruk. (2023). Complex-tensor theory of simple smectics. Nature Communications. 14(1). 1048–1048. 9 indexed citations

2.

Paget, Jack, et al.. (2022). Smectic layering: Landau theory for a complex-tensor order parameter. Journal of Physics A Mathematical and Theoretical. 55(35). 354001–354001. 5 indexed citations

3.

Paget, Jack, et al.. (2016). Optimization and Design of an Absorbance Spectrometer Controlled Using a Raspberry Pi To Improve Analytical Skills. Journal of Chemical Education. 93(7). 1232–1240. 41 indexed citations

4.

Paget, Jack, et al.. (2014). Optical Properties of Ordered Self-Assembled Nanoparticle Arrays at Interfaces. The Journal of Physical Chemistry C. 118(40). 23264–23273. 13 indexed citations

5.

Turek, Vladimir A., L. Elliott, Arwen I. I. Tyler, et al.. (2013). Self-Assembly and Applications of Ultraconcentrated Nanoparticle Solutions. ACS Nano. 7(10). 8753–8759. 16 indexed citations

6.

Kornyshev, Alexei A., Monica Marinescu, Jack Paget, & Michael Urbakh. (2012). Reflection of light by metal nanoparticles at electrodes. Physical Chemistry Chemical Physics. 14(6). 1850–1850. 28 indexed citations

7.

Cecchini, Michael P., Vladimir A. Turek, Jack Paget, Alexei A. Kornyshev, & Joshua B. Edel. (2012). Self-assembled nanoparticle arrays for multiphase trace analyte detection. Nature Materials. 12(2). 165–171. 350 indexed citations

8.

Turek, Vladimir A., Michael P. Cecchini, Jack Paget, et al.. (2012). Plasmonic Ruler at the Liquid–Liquid Interface. ACS Nano. 6(9). 7789–7799. 94 indexed citations

9.

Tiano, Piero, Emma Cantisani, I. Sutherland, & Jack Paget. (2006). Biomediated reinforcement of weathered calcareous stones. Journal of Cultural Heritage. 7(1). 49–55. 71 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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