Paul Walsh

1.5k total citations
68 papers, 669 citations indexed

About

Paul Walsh is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Paul Walsh has authored 68 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Paul Walsh's work include Genomics and Phylogenetic Studies (9 papers), Ruminant Nutrition and Digestive Physiology (6 papers) and Gut microbiota and health (6 papers). Paul Walsh is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Ruminant Nutrition and Digestive Physiology (6 papers) and Gut microbiota and health (6 papers). Paul Walsh collaborates with scholars based in Ireland, United Kingdom and Germany. Paul Walsh's co-authors include Roy D. Sleator, John M. Carroll, Huiru Zheng, R. Roehe, Micheál Mac Aogáin, Pádraig Cunningham, M. J. R. Healy, Peter Ghazal, Stephen J. Byrne and R.J. Dewhurst and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Computers & Education.

In The Last Decade

Paul Walsh

66 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Walsh Ireland 15 192 97 47 46 45 68 669
Anne Spencer Ross United States 11 147 0.8× 94 1.0× 65 1.4× 25 0.5× 98 2.2× 19 705
Peter Weber Germany 11 421 2.2× 39 0.4× 25 0.5× 22 0.5× 12 0.3× 40 1.0k
Alexandre da Costa Linhares Brazil 18 44 0.2× 104 1.1× 14 0.3× 36 0.8× 13 0.3× 82 921
César Domínguez Spain 15 145 0.8× 82 0.8× 59 1.3× 46 1.0× 59 1.3× 59 919
Dan Heller Israel 15 162 0.8× 92 0.9× 152 3.2× 3 0.1× 18 0.4× 32 761
Liping Shen China 16 129 0.7× 30 0.3× 50 1.1× 37 0.8× 69 1.5× 79 945
Suting Chen China 18 273 1.4× 22 0.2× 131 2.8× 18 0.4× 6 0.1× 89 1.0k
Shuqin Li China 13 181 0.9× 137 1.4× 84 1.8× 8 0.2× 70 1.6× 102 673
Muhammad Shoaib Pakistan 25 136 0.7× 249 2.6× 44 0.9× 151 3.3× 90 2.0× 134 1.7k
Matthias Härtung Germany 11 62 0.3× 480 4.9× 60 1.3× 20 0.4× 106 2.4× 44 738

Countries citing papers authored by Paul Walsh

Since Specialization
Citations

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

Fields of papers citing papers by Paul Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Walsh

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Walsh. A scholar is included among the top collaborators of Paul Walsh 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 Paul Walsh. Paul Walsh 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.
Walsh, Paul, et al.. (2025). Non-destructive testing methods for condition monitoring: A review of techniques and tools. Procedia Computer Science. 257. 420–427. 2 indexed citations
2.
Rutherford, Kenny, et al.. (2021). Taxonomic annotation of 16S rRNA sequences of pig intestinal samples using MG-RAST and QIIME2 generated different microbiota compositions. Journal of Microbiological Methods. 186. 106235–106235. 20 indexed citations
3.
Andrade, Bruno Gabriel Nascimento, Rafael R. C. Cuadrat, Polyana Tizioto, et al.. (2020). The structure of microbial populations in Nelore GIT reveals inter-dependency of methanogens in feces and rumen. Journal of Animal Science and Biotechnology. 11(1). 6–6. 29 indexed citations
4.
Moizer, Jonathan, Jonathan Lean, Elena Dell’Aquila, et al.. (2019). An approach to evaluating the user experience of serious games. Computers & Education. 136. 141–151. 69 indexed citations
5.
Ribeiro‐Alves, Marcelo, et al.. (2019). Simplicity DiffExpress: A Bespoke Cloud-Based Interface for RNA-seq Differential Expression Modeling and Analysis. Frontiers in Genetics. 10. 356–356. 1 indexed citations
6.
Golparian, Daniel, et al.. (2018). Antimicrobial resistance and molecular epidemiology using whole-genome sequencing of Neisseria gonorrhoeae in Ireland, 2014–2016: focus on extended-spectrum cephalosporins and azithromycin. European Journal of Clinical Microbiology & Infectious Diseases. 37(9). 1661–1672. 32 indexed citations
7.
Healy, M. J. R., et al.. (2018). SenseCare: Using Automatic Emotional Analysis to Provide Effective Tools for Supporting. 2682–2687. 4 indexed citations
8.
Jafali, James, K. Martin, Marie Craigon, et al.. (2017). Genomic Programming of Human Neonatal Dendritic Cells in Congenital Systemic and In Vitro Cytomegalovirus Infection Reveal Plastic and Robust Immune Pathway Biology Responses. Frontiers in Immunology. 8. 1146–1146. 7 indexed citations
9.
Wang, Haiying, Huiru Zheng, Fiona Browne, et al.. (2017). Integrated metagenomic analysis of the rumen microbiome of cattle reveals key biological mechanisms associated with methane traits. Methods. 124. 108–119. 19 indexed citations
10.
Bastiaannet, Esther, Jackie Charman, T.B. Johannesen, et al.. (2016). A real-world evidence study of patients with hormone receptor-positive locally advanced or metastatic breast cancer at primary diagnosis. European Journal of Cancer. 57. 1 indexed citations
11.
O’Driscoll, Aisling, John M. Carroll, Kai A. Kropp, et al.. (2015). HBLAST: Parallelised sequence similarity – A Hadoop MapReducable basic local alignment search tool. Journal of Biomedical Informatics. 54. 58–64. 35 indexed citations
12.
Walsh, Paul, et al.. (2015). Engineering bioinformatics: building reliability, performance and productivity into bioinformatics software. Bioengineered. 6(4). 193–203. 15 indexed citations
13.
Humm, Bernhard G. & Paul Walsh. (2015). Flexible yet Efficient Management of Electronic Health Records. 33 7. 771–775. 1 indexed citations
14.
Walsh, Paul, et al.. (2014). How affective computing could complement and advance the quantified self. 24–31. 1 indexed citations
15.
Kropp, Kai A., John M. Carroll, Paul Walsh, et al.. (2014). Draft Genome Sequence of a Staphylococcus warneri Strain Isolated from a Preterm Neonate Blood Sepsis Patient at the Royal Infirmary, Edinburgh, Scotland. Genome Announcements. 2(5). 2 indexed citations
16.
Walsh, Paul, John M. Carroll, & Roy D. Sleator. (2013). Accelerating in silico research with workflows: A lesson in Simplicity. Computers in Biology and Medicine. 43(12). 2028–2035. 25 indexed citations
17.
Shuhaibar, M., Cathal Walsh, Paul Walsh, et al.. (2010). A comparative study of faecal occult blood kits in a colorectal cancer screening program in a cohort of healthy construction workers. Irish Journal of Medical Science (1971 -). 180(1). 103–108. 5 indexed citations
18.
Walsh, Paul, et al.. (2008). Prevalence of Bordetella pertussis and Bordetella parapertussis in Samples Submitted for RSV Screening. SHILAP Revista de lepidopterología. 10 indexed citations
19.
Cunningham, Pádraig, et al.. (2003). Explaining the output of ensembles in medical decision support on a case by case basis. Artificial Intelligence in Medicine. 28(2). 191–206. 26 indexed citations
20.
Walsh, Paul, et al.. (1998). The influence of climate as expressed by the Thornthwaite Index on the design depth of moisture change of clay soils in the Hunter Valley. NOVA (University of Newcastle Australia). 12 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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