Amelia Glaese

19 total papers · 2.1k total citations
5 papers, 140 citations indexed

About

Amelia Glaese is a scholar working on Artificial Intelligence, Signal Processing and Hardware and Architecture. According to data from OpenAlex, Amelia Glaese has authored 5 papers receiving a total of 140 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Signal Processing and 1 paper in Hardware and Architecture. Recurrent topics in Amelia Glaese's work include Natural Language Processing Techniques (2 papers), Forecasting Techniques and Applications (1 paper) and Time Series Analysis and Forecasting (1 paper). Amelia Glaese is often cited by papers focused on Natural Language Processing Techniques (2 papers), Forecasting Techniques and Applications (1 paper) and Time Series Analysis and Forecasting (1 paper). Amelia Glaese collaborates with scholars based in United States and Germany. Amelia Glaese's co-authors include Roman Ring, Ethan Perez, Trevor Cai, John Aslanides, Geoffrey Irving, Saffron Huang, Francis Song, Daniel Schütz, Birgit Vogel‐Heuser and Stefan Feldmann and has published in prestigious journals such as International Journal of Structural and Civil Engineering Research.

In The Last Decade

Amelia Glaese

4 papers receiving 129 citations

Author Peers

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

Author						Papers	Cites
Amelia Glaese	98	20	17	17	15	5	140
Gesina Schwalbe	109 1.1×	20 1.0×	8 0.5×	20 1.2×	15 1.0×	5	146
Trevor Cai	97 1.0×	18 0.9×	18 1.1×	17 1.0×	16 1.1×	4	141
Francis Song	105 1.1×	18 0.9×	17 1.0×	17 1.0×	16 1.1×	4	143
Saffron Huang	101 1.0×	26 1.3×	17 1.0×	17 1.0×	15 1.0×	2	139
David Schneeberger	123 1.3×	35 1.8×	16 0.9×	72 4.2×	12 0.8×	5	223
Amir-Hossein Karimi	143 1.5×	52 2.6×	13 0.8×	16 0.9×	9 0.6×	7	219
John Aslanides	140 1.4×	25 1.3×	17 1.0×	17 1.0×	22 1.5×	5	177
Eoin M. Kenny	218 2.2×	31 1.6×	15 0.9×	36 2.1×	32 2.1×	10	262
Leila Arras	175 1.8×	13 0.7×	12 0.7×	23 1.4×	38 2.5×	5	246
Lorenz Kuhn	83 0.8×	7 0.3×	11 0.6×	43 2.5×	6 0.4×	4	178

Countries citing papers authored by Amelia Glaese

Since Specialization

Citations

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

Fields of papers citing papers by Amelia Glaese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amelia Glaese

This figure shows the co-authorship network connecting the top 25 collaborators of Amelia Glaese. A scholar is included among the top collaborators of Amelia Glaese 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 Amelia Glaese. Amelia Glaese 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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