Terence A. Etchells

42 total papers · 514 total citations
23 papers, 325 citations indexed

About

Terence A. Etchells is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Terence A. Etchells has authored 23 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Terence A. Etchells's work include Statistical Methods and Inference (4 papers), Neural Networks and Applications (4 papers) and Machine Learning in Healthcare (3 papers). Terence A. Etchells is often cited by papers focused on Statistical Methods and Inference (4 papers), Neural Networks and Applications (4 papers) and Machine Learning in Healthcare (3 papers). Terence A. Etchells collaborates with scholars based in United Kingdom, Italy and Spain. Terence A. Etchells's co-authors include Paulo Lisböa, Ian H. Jarman, Elia Biganzoli, Federico Ambrogi, Davide Bacciu, Patrizia Boracchi, Min Hane Aung, Thorsteinn Rögnvaldsson, Daniel Garwicz and José D. Martín‐Guerrero and has published in prestigious journals such as BMC Bioinformatics, Neurocomputing and Neural Networks.

In The Last Decade

Terence A. Etchells

22 papers receiving 309 citations

Author Peers

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

Author Last Decade Papers Cites
Terence A. Etchells 139 67 32 26 23 23 325
Kun Lan 117 0.8× 65 1.0× 24 0.8× 26 1.0× 22 1.0× 30 366
Sukhpreet Kaur 106 0.8× 88 1.3× 24 0.8× 21 0.8× 29 1.3× 30 349
C. Gunavathi 107 0.8× 92 1.4× 14 0.4× 38 1.5× 16 0.7× 29 278
Lijun Cai 134 1.0× 50 0.7× 19 0.6× 40 1.5× 7 0.3× 42 356
Murtada K. Elbashir 120 0.9× 119 1.8× 32 1.0× 20 0.8× 13 0.6× 45 356
Chao Jiang 129 0.9× 59 0.9× 5 0.2× 20 0.8× 10 0.4× 35 345
Hyo Soung 70 0.5× 21 0.3× 13 0.4× 26 1.0× 38 1.7× 27 272
Cheng Chun Lee 136 1.0× 58 0.9× 15 0.5× 17 0.7× 38 1.7× 19 335
Serkan Savaş 104 0.7× 19 0.3× 29 0.9× 32 1.2× 32 1.4× 37 358
Mohammadreza Sehhati 94 0.7× 108 1.6× 14 0.4× 9 0.3× 12 0.5× 30 306

Countries citing papers authored by Terence A. Etchells

Since Specialization
Citations

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

Fields of papers citing papers by Terence A. Etchells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Terence A. Etchells. 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 Terence A. Etchells. The network helps show where Terence A. Etchells may publish in the future.

Co-authorship network of co-authors of Terence A. Etchells

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