Mark Roantree

127 papers receiving 879 citations

Peers

Mark Roantree
Comparison fields: 5 of 114
  • Signal Processing 194
  • Computer Networks and Communications 345
  • Artificial Intelligence 319
  • Information Systems 148
  • Computer Vision and Pattern Recognition 133
Replace Gladys Castillo with:
Gladys Castillo Portugal
Julian Szymański Poland
Kamran Ahsan Pakistan
V. M. Thakare India
Miguel Angel Medina‐Pérez Mexico
Olusola Abayomi‐Alli Nigeria
Edgar Acuña Puerto Rico
Rakesh Garg India
Wilhelmiina Hämäläinen Finland
Qian Chen United States
Mark Roantree relative to Gladys Castillo Portugal Gladys Castillo's profile →
Citations per field
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Gladys Castillo · 1×
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 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019160
2 200530
3 201625
4 199724
5 202019
6 201119
7
An Indexing Structure for Automatic Schema Matching
200715
8 200415
9 200715
10 199914
11 201014
12 202114
13 200614
14 201313
15
HERA: Automatically Generating Hypermedia Front-Ends for Ad Hoc Data from Heterogeneous and Legacy Information Systems
200013
16 201113
17 202312
18 201512
19 201512
20 201612

About Mark Roantree

Mark Roantree is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 141 papers that have together received 931 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (61 papers), Semantic Web and Ontologies (42 papers), Data Management and Algorithms (38 papers), Service-Oriented Architecture and Web Services (15 papers), Data Quality and Management (12 papers), Time Series Analysis and Forecasting (12 papers), Context-Aware Activity Recognition Systems (11 papers) and Stock Market Forecasting Methods (6 papers). The work is most often cited by research in Signal Processing (194 citations), Computer Networks and Communications (345 citations), Artificial Intelligence (319 citations), Information Systems (148 citations) and Computer Vision and Pattern Recognition (133 citations). Mark Roantree has collaborated with scholars based in Ireland, Vietnam and United States. Frequent co-authors include Andrew McCarren, Gustavo de los Campos, Christina B. Azodi, Shin‐Han Shiu, Zohra Bellahsène, Paolo Cappellari, Cathal Gurrin, Wilhelm Hasselbring, Niall M. Moyna and John Murphy. Their work appears in journals such as ACM SIGMOD Record, Lecture notes in computer science, Software Practice and Experience, PLoS ONE 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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