Michael Flynn

726 total citations · 1 hit paper
2 papers, 337 citations indexed

About

Michael Flynn is a scholar working on Cardiology and Cardiovascular Medicine, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Michael Flynn has authored 2 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Cardiology and Cardiovascular Medicine, 1 paper in Signal Processing and 1 paper in Artificial Intelligence. Recurrent topics in Michael Flynn's work include Health Systems, Economic Evaluations, Quality of Life (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Anomaly Detection Techniques and Applications (1 paper). Michael Flynn is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Anomaly Detection Techniques and Applications (1 paper). Michael Flynn collaborates with scholars based in United Kingdom, Japan and United States. Michael Flynn's co-authors include James Large, Matthew Middlehurst, Anthony Bagnall, Phillip B. Warner, Heidi Kramer, Wataru Takeuchi, Polina Kukhareva, David Shields, Kensaku Kawamoto and Charlene Weir and has published in prestigious journals such as Data Mining and Knowledge Discovery and Methods of Information in Medicine.

In The Last Decade

Michael Flynn

2 papers receiving 334 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances

2020 285 citations Michael Flynn, James Large et al. Data Mining and Knowledge Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Flynn United Kingdom	2	194	190	40	37	36	2	337
Matthew Middlehurst United Kingdom	5	312 1.6×	271 1.4×	50 1.3×	70 1.9×	6 0.2×	9	447
Esraa Hassan Egypt	9	19 0.1×	154 0.8×	31 0.8×	6 0.2×	19 0.5×	13	400
Nehad M. Ibrahim Saudi Arabia	9	19 0.1×	66 0.3×	15 0.4×	6 0.2×	26 0.7×	18	313
Ali Alqahtani Saudi Arabia	12	40 0.2×	121 0.6×	17 0.4×	5 0.1×	12 0.3×	46	380
Youqiang Sun China	9	95 0.5×	103 0.5×	17 0.4×	35 0.9×	2 0.1×	16	288
B. Prasanalakshmi Saudi Arabia	8	57 0.3×	46 0.2×	26 0.7×	4 0.1×	25 0.7×	13	250
Lifeng Shen China	10	176 0.9×	372 2.0×	17 0.4×	15 0.4×	2 0.1×	11	449
Jidong Yuan China	11	109 0.6×	136 0.7×	13 0.3×	24 0.6×	2 0.1×	35	280
V. V. Rama Prasad India	5	145 0.7×	196 1.0×	22 0.6×	7 0.2×	2 0.1×	12	347
Amani K. Samha Saudi Arabia	6	24 0.1×	116 0.6×	23 0.6×	3 0.1×	10 0.3×	14	323

Countries citing papers authored by Michael Flynn

Since Specialization

Citations

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

Fields of papers citing papers by Michael Flynn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Flynn

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

All Works

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2 of 2 papers shown

1.

Takeuchi, Wataru, Michael Flynn, Charlene Weir, et al.. (2021). Leveraging Artificial Intelligence to Improve Chronic Disease Care: Methods and Application to Pharmacotherapy Decision Support for Type-2 Diabetes Mellitus. Methods of Information in Medicine. 60(S 01). e32–e43. 52 indexed citations

2.

Flynn, Michael, et al.. (2020). The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data Mining and Knowledge Discovery. 35(2). 401–449. 285 indexed citations breakdown →

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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