Mark Roantree
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
Papers in
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- Semantic Web and Ontologies 23
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- Advanced Database Systems and Queries 31
- Co-authors
- Andrew McCarren (15 shared papers)Shin‐Han Shiu (2 shared papers)Christina B. Azodi (2 shared papers)Gustavo de los Campos (1 shared paper)Cathal Gurrin (5 shared papers)Paolo Cappellari (9 shared papers)Niall M. Moyna (6 shared papers)Zohra Bellahsène (5 shared papers)
- Journals
- ACM SIGMOD Record (5 papers)Information and Software Technology (2 papers)Software Practice and Experience (2 papers)PLoS ONE (2 papers)Applied Psychology Health and Well-Being (1 paper)
- Partner nations
- IrelandNetherlandsUnited States
In The Last Decade
Mark Roantree
77 papers receiving 549 citations
Peers
Comparison fields: 5 of 98
- Signal Processing 76
- Computer Networks and Communications 160
- Artificial Intelligence 168
- Genetics 128
- Computer Vision and Pattern Recognition 80
Countries citing papers authored by Mark Roantree
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
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-authors
The 25 scholars most cited alongside Mark Roantree, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 143 | |
| 2 | 2005 | 29 | |
| 3 | 2016 | 22 | |
| 4 | 2020 | 18 | |
| 5 | 1997 | 16 | |
| 6 | 2011 | 15 | |
| 7 | An Indexing Structure for Automatic Schema Matching | 2007 | 14 |
| 8 | 2007 | 13 | |
| 9 | 2006 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2013 | 11 | |
| 13 | 1999 | 11 | |
| 14 | 2010 | 10 | |
| 15 | 2008 | 9 | |
| 16 | 2016 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2015 | 8 | |
| 20 | 2008 | 8 |
About Mark Roantree
Mark Roantree is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 89 papers that have together received 582 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (31 papers), Semantic Web and Ontologies (23 papers), Data Management and Algorithms (18 papers), Service-Oriented Architecture and Web Services (9 papers), Data Quality and Management (8 papers), Context-Aware Activity Recognition Systems (7 papers), Time Series Analysis and Forecasting (6 papers) and Sports Performance and Training (5 papers). The work is most often cited by research in Signal Processing (76 citations), Computer Networks and Communications (160 citations), Artificial Intelligence (168 citations), Genetics (128 citations) and Computer Vision and Pattern Recognition (80 citations). Mark Roantree has collaborated with scholars based in Ireland, Netherlands and United States. Frequent co-authors include Andrew McCarren, Shin‐Han Shiu, Christina B. Azodi, Gustavo de los Campos, Cathal Gurrin, Paolo Cappellari, Niall M. Moyna, Zohra Bellahsène, Wilhelm Hasselbring and Dermot Diamond. Their work appears in journals such as ACM SIGMOD Record, Information and Software Technology, Software Practice and Experience, PLoS ONE and Applied Psychology Health and Well-Being.
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.