Adam Barker

1.8k total citations
10 papers, 268 citations indexed

About

Adam Barker is a scholar working on Atomic and Molecular Physics, and Optics, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Adam Barker has authored 10 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atomic and Molecular Physics, and Optics, 4 papers in Genetics and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Adam Barker's work include Cold Atom Physics and Bose-Einstein Condensates (5 papers), Quantum, superfluid, helium dynamics (4 papers) and Genetic Associations and Epidemiology (2 papers). Adam Barker is often cited by papers focused on Cold Atom Physics and Bose-Einstein Condensates (5 papers), Quantum, superfluid, helium dynamics (4 papers) and Genetic Associations and Epidemiology (2 papers). Adam Barker collaborates with scholars based in United Kingdom, Germany and Denmark. Adam Barker's co-authors include Nicholas J. Wareham, Elliot Bentine, Nóra Hosszúfalusi, Frans Gorus, Richard David Leslie, Thomas Mandrup‐Poulsen, C. J. Foot, Bart Van der Schueren, Werner A. Scherbaum and Chantal Mathieu and has published in prestigious journals such as Science, Physical Review Letters and Diabetes.

In The Last Decade

Adam Barker

10 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam Barker United Kingdom	10	122	114	110	108	21	10	268
Srdjan Sarikas Austria	9	11 0.1×	37 0.3×	40 0.4×	20 0.2×		13	384
P. Małecki Poland	10	16 0.1×	13 0.1×	7 0.1×	24 0.2×	2 0.1×	37	233
Saskia Haupt Germany	5	61 0.5×	14 0.1×	3 0.0×	2 0.0×	16 0.8×	12	115
Yun‐De Li China	9	18 0.1×	2 0.0×	13 0.1×	14 0.1×	1 0.0×	41	280
D. A. Williams United Kingdom	5	21 0.2×	5 0.0×	13 0.1×		5 0.2×	10	50
Jean-Marc Le Goff France	6	5 0.0×	8 0.1×	10 0.1×	2 0.0×	3 0.1×	13	103
L. Liu China	6	31 0.3×	2 0.0×	19 0.2×			15	117
R Teixeira Brazil	9	199 1.6×		13 0.1×		86 4.1×	24	285
H. M. Lacker United States	5	12 0.1×	4 0.0×	5 0.0×	3 0.0×	4 0.2×	7	107
S. Stevenson United Kingdom	5	23 0.2×	8 0.1×	2 0.0×	1 0.0×	3 0.1×	7	87

Countries citing papers authored by Adam Barker

Since Specialization

Citations

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

Fields of papers citing papers by Adam Barker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Barker

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

All Works

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10 of 10 papers shown

Singh, Vijay Pal, David Garrick, Adam Barker, et al.. (2023). Universal scaling of the dynamic BKT transition in quenched 2D Bose gases. Science. 382(6669). 443–447. 15 indexed citations

Singh, Vijay Pal, et al.. (2022). Observation of the Berezinskii-Kosterlitz-Thouless Transition in a Two-Dimensional Bose Gas via Matter-Wave Interferometry. Physical Review Letters. 128(25). 250402–250402. 13 indexed citations

Barker, Adam, et al.. (2020). Applying machine learning optimization methods to the production of a quantum gas. Machine Learning Science and Technology. 1(1). 15007–15007. 26 indexed citations

Harte, Timothy, et al.. (2018). Ultracold atoms in multiple radio-frequency dressed adiabatic potentials. Physical review. A. 97(1). 27 indexed citations

Makhalov, Vasiliy, Adam Barker, Maxence Lepers, et al.. (2018). Anisotropic light shift and magic polarization of the intercombination line of dysprosium atoms in a far-detuned dipole trap. Physical review. A. 98(4). 14 indexed citations

Lopes, Raphael, Christoph Eigen, Adam Barker, et al.. (2017). Quasiparticle Energy in a Strongly Interacting Homogeneous Bose-Einstein Condensate. Physical Review Letters. 118(21). 210401–210401. 34 indexed citations

Lauria, Angelo, Adam Barker, Nanette C. Schloot, et al.. (2014). BMI is an important driver of β-cell loss in type 1 diabetes upon diagnosis in 10 to 18-year-old children. European Journal of Endocrinology. 172(2). 107–113. 38 indexed citations

Barker, Adam, Angelo Lauria, Nanette C. Schloot, et al.. (2013). Age‐dependent decline of β‐cell function in type 1 diabetes after diagnosis: a multi‐centre longitudinal study. Diabetes Obesity and Metabolism. 16(3). 262–267. 77 indexed citations

Barker, Adam, Claudia Langenberg, & Nicholas J. Wareham. (2012). Genetic determinants of glucose homeostasis. Best Practice & Research Clinical Endocrinology & Metabolism. 26(2). 159–170. 10 indexed citations

10.

Barker, Adam, Meena Kumari, Eric J. Brunner, et al.. (2011). Associations of Common Genetic Variants With Age-Related Changes in Fasting and Postload Glucose. Diabetes. 60(5). 1617–1623. 14 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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