Mark Roantree

1.3k total citations
89 papers, 582 citations indexed

About

Mark Roantree is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Mark Roantree has authored 89 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 37 papers in Computer Networks and Communications and 24 papers in Signal Processing. Recurrent topics in Mark Roantree's work include Advanced Database Systems and Queries (31 papers), Semantic Web and Ontologies (23 papers) and Data Management and Algorithms (18 papers). Mark Roantree is often cited by papers focused on Advanced Database Systems and Queries (31 papers), Semantic Web and Ontologies (23 papers) and Data Management and Algorithms (18 papers). Mark Roantree collaborates with scholars based in Ireland, Netherlands and United States. Mark Roantree's co-authors include Andrew McCarren, Shin‐Han Shiu, Gustavo de los Campos, Christina B. Azodi, Cathal Gurrin, Paolo Cappellari, Niall M. Moyna, Wilhelm Hasselbring, Zohra Bellahsène and Karl Crowley and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

Mark Roantree

77 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Roantree Ireland	12	168	160	128	99	83	89	582
John J. Herbert Ireland	16	77 0.5×	212 1.3×	36 0.3×	54 0.5×	106 1.3×	58	677
Stephen Garner New Zealand	6	161 1.0×	86 0.5×	20 0.2×	59 0.6×	113 1.4×	12	486
Abid Mehmood Saudi Arabia	14	139 0.8×	47 0.3×	53 0.4×	133 1.3×	57 0.7×	40	604
Danielo G. Gomes Brazil	14	99 0.6×	397 2.5×	164 1.3×	42 0.4×	242 2.9×	61	735
Antonio Bahamonde Spain	17	380 2.3×	24 0.1×	57 0.4×	42 0.4×	165 2.0×	48	793
Eamonn Keogh United States	11	405 2.4×	68 0.4×	29 0.2×	38 0.4×	53 0.6×	15	811
Julian Szymański Poland	13	148 0.9×	173 1.1×	35 0.3×	11 0.1×	161 1.9×	54	540
Sofia Visa United States	8	142 0.8×	21 0.1×	52 0.4×	223 2.3×	61 0.7×	20	593
Juan Zhai China	16	757 4.5×	198 1.2×	32 0.3×	66 0.7×	225 2.7×	56	1.2k
Kamran Ahsan Pakistan	12	171 1.0×	177 1.1×	9 0.1×	54 0.5×	85 1.0×	58	544

Countries citing papers authored by Mark Roantree

Since Specialization

Citations

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

Fields of papers citing papers by Mark Roantree

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Roantree

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

All Works

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20 of 20 papers shown

Dias‐Júnior, Cléo Quaresma, Celso von Randow, Christopher Pöhlker, et al.. (2025). Intercomparison of Machine Learning Models to Determine the Planetary Boundary Layer Height Over Central Amazonia. Journal of Geophysical Research Atmospheres. 130(6). 2 indexed citations

Jaspers, Arne, et al.. (2025). Estimating oxygen uptake in simulated team sports using machine learning models and wearable sensor data: A pilot study. PLoS ONE. 20(4). e0319760–e0319760. 3 indexed citations

Mileo, Alessandra, et al.. (2024). Engineering Features from Raw Sensor Data to Analyse Player Movements during Competition. Sensors. 24(4). 1308–1308.

Roantree, Mark, et al.. (2024). Predictive analysis of ratings of perceived exertion in elite Gaelicfootball. Biology of Sport. 41(4). 61–68.

Lalić, Branislava, et al.. (2024). Adapting physics-informed neural networks to improve ODE optimization in mosquito population dynamics. PLoS ONE. 19(12). e0315762–e0315762. 4 indexed citations

Ngo, Vuong M., et al.. (2024). Exploring the trie of rules: a fast data structure for the representation of association rules. Journal of Intelligent Information Systems. 63(2). 463–483. 1 indexed citations

Savić, Stevan, et al.. (2023). Air Temperature and Relative Humidity Datasets from an Urban Meteorological Network in the City Area of Novi Sad (Serbia). Data in Brief. 49. 109425–109425. 2 indexed citations

Roantree, Mark, et al.. (2021). A Methodology for Validating Diversity in Synthetic Time Series Generation. MethodsX. 8. 101459–101459. 7 indexed citations

Roantree, Mark, et al.. (2020). Analysis of Machine Learning Methods for Predicting Stock Prices.. 205–216.

10.

Azodi, Christina B., et al.. (2019). Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits. G3 Genes Genomes Genetics. 9(11). 3691–3702. 143 indexed citations

11.

McCarthy, Suzanne, Andrew McCarren, & Mark Roantree. (2019). An automated ETL for online datasets. Dublin City University Open Access Institutional Repository (Dublin City University). 1 indexed citations

12.

Azodi, Christina B., et al.. (2019). Benchmarking algorithms for genomic prediction of complex traits. Arrow@dit (Dublin Institute of Technology). 1 indexed citations

13.

McCarthy, Suzanne, Andrew McCarren, & Mark Roantree. (2017). Predicting prices, volume and trade for meat and dairy products: an agri food data model. Dublin City University Open Access Institutional Repository (Dublin City University). 2 indexed citations

14.

Roantree, Mark, et al.. (2011). Optimizing queries for web generated sensor data. Australasian Database Conference. 47–56. 4 indexed citations

15.

Roantree, Mark, et al.. (2010). Classification of index partitions to boost XML query performance. 405–418. 2 indexed citations

16.

Liu, Jun, Mark Roantree, & Zohra Bellahsène. (2010). Optimizing XML data with view fragments. Australasian Database Conference. 151–159. 3 indexed citations

17.

Liu, Jun, Mark Roantree, & Zohra Bellahsène. (2010). A schemaguide for accelerating the view adaptation process. 160–173. 4 indexed citations

18.

Duchateau, Fabien, Zohra Bellahsène, Mark Roantree, & Mathieu Roche. (2007). An Indexing Structure for Automatic Schema Matching. HAL (Le Centre pour la Communication Scientifique Directe). 14 indexed citations

19.

Roantree, Mark. (2002). Metadata management in federated multimedia systems. Australasian Database Conference. 24(2). 147–155. 2 indexed citations

20.

Bellahsène, Zohra, Mark Roantree, & Laurent Mignet. (2002). A Functional Architecture for Large Scale Integration. HAL (Le Centre pour la Communication Scientifique Directe). 1 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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