Alex Eavis

551 total citations
2 papers, 38 citations indexed

About

Alex Eavis is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Alex Eavis has authored 2 papers receiving a total of 38 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Information Systems, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Cognitive Neuroscience. Recurrent topics in Alex Eavis's work include Digital Mental Health Interventions (1 paper), Technology Use by Older Adults (1 paper) and Neuroethics, Human Enhancement, Biomedical Innovations (1 paper). Alex Eavis is often cited by papers focused on Digital Mental Health Interventions (1 paper), Technology Use by Older Adults (1 paper) and Neuroethics, Human Enhancement, Biomedical Innovations (1 paper). Alex Eavis collaborates with scholars based in United Kingdom and Italy. Alex Eavis's co-authors include Paolo Dario, Praminda Caleb-Solly, Filippo Cavallo, Laura Fiorini, Tim Robbins, George Despotou, William P. Nash and Theodoros N. Arvanitis and has published in prestigious journals such as Sensors and Digital Health.

In The Last Decade

Alex Eavis

2 papers receiving 37 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex Eavis United Kingdom 2 14 9 7 6 6 2 38
Saravanan Chinnaiyan India 4 7 0.5× 2 0.2× 8 1.1× 6 1.0× 7 1.2× 17 59
Nadia Bennani France 4 14 1.0× 1 0.1× 6 0.9× 10 1.7× 11 1.8× 9 52
Shamsuddeen Hassan Muhammad Nigeria 4 8 0.6× 9 1.0× 25 3.6× 4 0.7× 16 62
Torsten Illmann Germany 3 7 0.5× 3 0.3× 12 1.7× 2 0.3× 6 1.0× 5 28
Olga Smékalová Czechia 4 3 0.2× 16 1.8× 5 0.7× 4 0.7× 10 50
Luís Lima Portugal 3 5 0.4× 2 0.2× 12 1.7× 1 0.2× 4 0.7× 5 40
Shresth Verma United States 3 5 0.4× 1 0.1× 4 0.6× 4 0.7× 8 1.3× 9 30
Gianna Tsakou Greece 4 9 0.6× 3 0.3× 14 2.0× 1 0.2× 1 0.2× 8 49
Akshat Agarwal India 4 13 0.9× 5 0.6× 14 2.0× 2 0.3× 1 0.2× 11 45
Rohan Taori United States 3 16 1.1× 3 0.3× 29 4.1× 1 0.2× 2 0.3× 5 44

Countries citing papers authored by Alex Eavis

Since Specialization
Citations

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

Fields of papers citing papers by Alex Eavis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Eavis

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

All Works

2 of 2 papers shown
2.
Fiorini, Laura, Filippo Cavallo, Paolo Dario, Alex Eavis, & Praminda Caleb-Solly. (2017). Unsupervised Machine Learning for Developing Personalised Behaviour Models Using Activity Data. Sensors. 17(5). 1034–1034. 25 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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2026