Adam Elwood

978 total citations
3 papers, 4 citations indexed

About

Adam Elwood is a scholar working on Artificial Intelligence, Sociology and Political Science and Management Science and Operations Research. According to data from OpenAlex, Adam Elwood has authored 3 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in Management Science and Operations Research. Recurrent topics in Adam Elwood's work include Particle physics theoretical and experimental studies (1 paper), Data Stream Mining Techniques (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). Adam Elwood is often cited by papers focused on Particle physics theoretical and experimental studies (1 paper), Data Stream Mining Techniques (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). Adam Elwood collaborates with scholars based in Switzerland, Germany and Ukraine. Adam Elwood's co-authors include Alessandro Rozza, D. Krücker, M. Shchedrolosiev, Marco Leonardi and A. Mohamed and has published in prestigious journals such as Entropy, Journal of Physics Conference Series and International Journal of Semantic Computing.

In The Last Decade

Adam Elwood

3 papers receiving 4 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam Elwood Switzerland	2	3	2	1	1	1	3	4
D. Valsecchi Switzerland	2	4 1.3×	2 1.0×				2	6
S. X. Du China	3	4 1.3×	2 1.0×				15	11
N. Valls Canudas Spain	2	2 0.7×	2 1.0×				3	6
J. Niermann Germany	2	2 0.7×	2 1.0×				3	3
S. Bjelogrlic Portugal	2	3 1.0×	3 1.5×				2	8
F. Cirotto Italy	2	2 0.7×	2 1.0×				2	4
S. Auricchio Italy	2	2 0.7×	2 1.0×				2	4
Patrick John Steffanic United States	2	2 0.7×	2 1.0×			1 1.0×	3	6
W. Redjeb Switzerland	2	2 0.7×	2 1.0×				3	5
S. Rettie Switzerland	1	2 0.7×	2 1.0×				3	3

Countries citing papers authored by Adam Elwood

Since Specialization

Citations

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

Fields of papers citing papers by Adam Elwood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Elwood

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

All Works

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3 of 3 papers shown

1.

Elwood, Adam, Marco Leonardi, A. Mohamed, & Alessandro Rozza. (2023). Maximum Entropy Exploration in Contextual Bandits with Neural Networks and Energy Based Models. Entropy. 25(2). 188–188. 1 indexed citations

2.

Elwood, Adam, et al.. (2022). Ranking Micro-Influencers: A Multimedia Framework with Multi-Task and Interpretable Architectures. International Journal of Semantic Computing. 16(2). 213–231. 1 indexed citations

3.

Elwood, Adam, D. Krücker, & M. Shchedrolosiev. (2020). Direct optimization of the discovery significance in machine learning for new physics searches in particle colliders. Journal of Physics Conference Series. 1525(1). 12110–12110. 2 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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