Ann‐Marie Williamson

23 total papers · 793 total citations
17 papers, 610 citations indexed

About

Ann‐Marie Williamson is a scholar working on Nutrition and Dietetics, Food Science and Atmospheric Science. According to data from OpenAlex, Ann‐Marie Williamson has authored 17 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nutrition and Dietetics, 5 papers in Food Science and 4 papers in Atmospheric Science. Recurrent topics in Ann‐Marie Williamson's work include Biochemical Analysis and Sensing Techniques (4 papers), nanoparticles nucleation surface interactions (4 papers) and Phase Equilibria and Thermodynamics (3 papers). Ann‐Marie Williamson is often cited by papers focused on Biochemical Analysis and Sensing Techniques (4 papers), nanoparticles nucleation surface interactions (4 papers) and Phase Equilibria and Thermodynamics (3 papers). Ann‐Marie Williamson collaborates with scholars based in United Kingdom, New Zealand and Saudi Arabia. Ann‐Marie Williamson's co-authors include Jason R. Stokes, Damiano Rossetti, J. H. H. Bongaerts, Paul D. A. Pudney, Gleb E. Yakubov, Gerald G. Fuller, Peter J. Caspers, Gerwin J. Puppels, André van der Pol and Charfedinne Ayed and has published in prestigious journals such as Journal of Applied Physics, Food Chemistry and Journal of Controlled Release.

In The Last Decade

Ann‐Marie Williamson

17 papers receiving 589 citations

Author Peers

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

Author						Papers	Cites
Ann‐Marie Williamson	245	159	88	81	65	17	610
Masanori Ito	72 0.3×	70 0.4×	63 0.7×	93 1.1×	28 0.4×	34	646
Anne‐Mette Haahr	341 1.4×	107 0.7×	14 0.2×	84 1.0×	37 0.6×	11	554
Hong Wang	166 0.7×	98 0.6×	46 0.5×	39 0.5×	5 0.1×	31	669
Franklin D. Zoet	478 2.0×	166 1.0×	16 0.2×	39 0.5×	40 0.6×	11	591
G. Espinosa	222 0.9×	81 0.5×	109 1.2×	55 0.7×	6 0.1×	21	517
Junsi Yang	240 1.0×	113 0.7×	12 0.1×	72 0.9×	3 0.0×	23	529
Persephoni Giannouli	457 1.9×	151 0.9×	13 0.1×	60 0.7×	28 0.4×	24	615
Jörg Hinrichs	512 2.1×	118 0.7×	8 0.1×	33 0.4×	11 0.2×	21	651
Jiang Zhang	191 0.8×	57 0.4×	53 0.6×	108 1.3×	2 0.0×	14	557
Li Cui	222 0.9×	102 0.6×	16 0.2×	74 0.9×	3 0.0×	36	596

Countries citing papers authored by Ann‐Marie Williamson

Since Specialization

Citations

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

Fields of papers citing papers by Ann‐Marie Williamson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann‐Marie Williamson. 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 Ann‐Marie Williamson. The network helps show where Ann‐Marie Williamson may publish in the future.

Co-authorship network of co-authors of Ann‐Marie Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Ann‐Marie Williamson. A scholar is included among the top collaborators of Ann‐Marie Williamson 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 Ann‐Marie Williamson. Ann‐Marie Williamson 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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