Mark Roantree

120 papers receiving 895 citations

Peers

Mark Roantree
Comparison fields: 5 of 94
  • Computer Networks and Communications 272
  • Software 34
  • Genetics 158
  • Health Information Management 44
  • Artificial Intelligence 172
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Jie Wu China
Charalampos Z. Patrikakis Greece
Euijong Lee South Korea
Julian Szymański Poland
Mehmet N. Aydın Türkiye
Ruji P. Medina Philippines
Michel Chein France
V. Jagannathan United States
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Citations per year

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-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.

Border = papers with Mark Roantree Line = papers co-authored together Mark Roantree links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019183
2 200529
3 201625
4 199723
5 202019
6 201118
7 202316
8 200415
9 199914
10 200614
11
An Indexing Structure for Automatic Schema Matching
200714
12 201014
13 202114
14
HERA: Automatically Generating Hypermedia Front-Ends for Ad Hoc Data from Heterogeneous and Legacy Information Systems
200013
15 200713
16 201113
17 201313
18 200812
19 201512
20 202012

About Mark Roantree

Mark Roantree is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 131 papers that have together received 940 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (57 papers), Semantic Web and Ontologies (18 papers), Context-Aware Activity Recognition Systems (11 papers), Sports Performance and Training (7 papers), Information Retrieval and Search Behavior (6 papers), Time Series Analysis and Forecasting (5 papers), Big Data and Business Intelligence (5 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Computer Networks and Communications (272 citations), Software (34 citations), Genetics (158 citations), Health Information Management (44 citations) and Artificial Intelligence (172 citations). Mark Roantree has collaborated with scholars based in Ireland, Vietnam and United States. Frequent co-authors include Andrew L. McCarren, Shin‐Han Shiu, Gustavo de los Campos, Christina Brady Del Azodi, Zohra Bellahsène, Cathal G. Gurrin, Paolo Cappellari, Wilhelm Hasselbring, John Murphy and Niall M. Moyna. Their work appears in journals such as ACM SIGMOD Record, Lecture notes in computer science, PLoS ONE, Software Practice and Experience and Information and Software Technology.

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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