John Atkinson

2.7k total citations · 1 hit paper
74 papers, 1.8k citations indexed

About

John Atkinson is a scholar working on Artificial Intelligence, Management Information Systems and Information Systems. According to data from OpenAlex, John Atkinson has authored 74 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 16 papers in Management Information Systems and 10 papers in Information Systems. Recurrent topics in John Atkinson's work include Topic Modeling (16 papers), Advanced Queuing Theory Analysis (15 papers) and Natural Language Processing Techniques (11 papers). John Atkinson is often cited by papers focused on Topic Modeling (16 papers), Advanced Queuing Theory Analysis (15 papers) and Natural Language Processing Techniques (11 papers). John Atkinson collaborates with scholars based in Chile, United Kingdom and Ukraine. John Atkinson's co-authors include Jean Walrand, Daniel Prado Campos, Vidyadhar G. Kulkarni, И. Н. Коваленко, Alejandro Figueroa, Chris Mellish, Stuart Aitken, Anita Ferreira Cabrera, Marlene Roeckel and Luz Alejo and has published in prestigious journals such as Scientific Reports, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

John Atkinson

70 papers receiving 1.7k citations

Hit Papers

Improving BCI-based emotion recognition by combining EEG ... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Atkinson Chile 16 451 373 351 330 266 74 1.8k
Alois Ferscha Austria 25 194 0.4× 791 2.1× 452 1.3× 231 0.7× 71 0.3× 204 2.8k
Brahim Chaib-draa Canada 27 237 0.5× 351 0.9× 1.3k 3.7× 74 0.2× 25 0.1× 147 2.7k
Richard K. Martin United States 23 481 1.1× 490 1.3× 152 0.4× 41 0.1× 53 0.2× 148 2.6k
Zhiqi Shen Singapore 26 85 0.2× 686 1.8× 1.2k 3.4× 92 0.3× 63 0.2× 169 2.7k
James A. Rodger United States 18 150 0.3× 91 0.2× 228 0.6× 66 0.2× 33 0.1× 76 1.3k
Amedeo Cesta Italy 27 80 0.2× 632 1.7× 935 2.7× 60 0.2× 52 0.2× 157 2.1k
Giovanni Acampora Italy 27 74 0.2× 475 1.3× 1.3k 3.8× 95 0.3× 31 0.1× 177 2.5k
Massimo Mecella Italy 25 727 1.6× 602 1.6× 762 2.2× 73 0.2× 16 0.1× 189 2.1k
Şahin Albayrak Germany 24 56 0.1× 875 2.3× 781 2.2× 122 0.4× 53 0.2× 272 2.9k
Eugénio Oliveira Portugal 17 91 0.2× 123 0.3× 512 1.5× 40 0.1× 69 0.3× 178 1.2k

Countries citing papers authored by John Atkinson

Since Specialization
Citations

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

Fields of papers citing papers by John Atkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Atkinson

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

All Works

20 of 20 papers shown
1.
Atkinson, John, et al.. (2025). An LLM-based hybrid approach for enhanced automated essay scoring. Scientific Reports. 15(1). 14551–14551. 3 indexed citations
2.
Alejo, Luz, et al.. (2018). Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques. Environmental Science and Pollution Research. 25(21). 21149–21163. 48 indexed citations
3.
Marrett, Loraine D., et al.. (2016). An update to the recommended core content for sun safety messages for public education in Canada: A consensus report. Canadian Journal of Public Health. 107(4-5). e473–e479. 10 indexed citations
4.
Atkinson, John, et al.. (2016). Question-driven topic-based extraction of Protein–Protein Interaction Methods from biomedical literature. Information Sciences. 360. 170–180. 1 indexed citations
5.
Figueroa, Alejandro & John Atkinson. (2015). Ensembling Classifiers for Detecting User Intentions behind Web Queries. IEEE Internet Computing. 20(2). 8–16. 10 indexed citations
6.
Atkinson, John, Alejandro Figueroa, & Carlos A. Perez. (2013). Un enfoque de lattice basado en semántica para evaluar patrones en tareas de minería de textos. Computación y Sistemas. 17(4). 467–476. 1 indexed citations
7.
Baber, Chris, Neville A. Stanton, John Atkinson, Richard McMaster, & Robert Houghton. (2013). Using social network analysis and agent-based modelling to explore information flow using common operational pictures for maritime search and rescue operations. Ergonomics. 56(6). 889–905. 50 indexed citations
8.
Atkinson, John, et al.. (2013). Evolutionary optimization for ranking how-to questions based on user-generated contents. Expert Systems with Applications. 40(17). 7060–7068. 8 indexed citations
9.
Figueroa, Alejandro & John Atkinson. (2012). CONTEXTUAL LANGUAGE MODELS FOR RANKING ANSWERS TO NATURAL LANGUAGE DEFINITION QUESTIONS. Computational Intelligence. 28(4). 528–548. 9 indexed citations
10.
Atkinson, John, et al.. (2011). Evolutionary constrained self-localization for autonomous agents. Applied Soft Computing. 11(4). 3600–3607.
11.
Atkinson, John & И. Н. Коваленко. (2010). Some light-traffic and heavy-traffic results for the GI/G/n/0 queue using the GM Heuristic. Cybernetics and Systems Analysis. 46(3). 426–435. 1 indexed citations
12.
Atkinson, John, et al.. (2008). Discovering Novel Causal Patterns From Biomedical Natural-Language Texts Using Bayesian Nets. IEEE Transactions on Information Technology in Biomedicine. 12(6). 714–722. 13 indexed citations
13.
Atkinson, John. (2008). Two new heuristics for the GI/G/n/0 queueing loss system with examples based on the two-phase Coxian distribution. Journal of the Operational Research Society. 60(6). 818–830. 7 indexed citations
14.
Spennemann, Dirk, John Atkinson, & David Cornforth. (2006). Voting with their seats: computer laboratory design and the casual user. Behaviour and Information Technology. 26(5). 409–420. 5 indexed citations
15.
Atkinson, John. (2000). A note on the C2/G/1 queue and the C2/G/1 loss system. Queueing Systems. 36(1-3). 237–241. 2 indexed citations
16.
Schaffner, William, et al.. (1997). Autopsy risk and acquisition of human immunodeficiency virus infection: a case report and reappraisal.. PubMed. 121(1). 64–6. 28 indexed citations
17.
Braddick, Oliver, et al.. (1992). WHAT GENERATES VEPS FROM PATTERN TRANSITIONS IN ORIENTATION AND SPATIAL-FREQUENCY. Investigative Ophthalmology & Visual Science. 33. 1257–1257. 4 indexed citations
18.
Atkinson, John. (1990). A Vehicle-scheduling System for Delivering School Meals. Journal of the Operational Research Society. 41(8). 703–711. 9 indexed citations
19.
Atkinson, John & Jean Walrand. (1990). An Introduction to Queueing Networks. Journal of the Operational Research Society. 41(11). 1081–1081. 470 indexed citations
20.
Atkinson, John, et al.. (1981). A Finnish grammar. 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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