Matthew Rowe

1.8k citations
71 papers · 735 · h-index 16

Impact in

Papers in

Matthew Rowe

67 papers receiving 666 citations

Peers

Matthew Rowe
Comparison fields: 5 of 95
  • Artificial Intelligence 378
  • Information Systems 220
  • Communication 66
  • Statistical and Nonlinear Physics 107
  • Computer Science Applications 46
Replace Erel Uziel with:
Erel Uziel Israel
Muhammad Bilal Zafar Germany
Dan Liebling United States
Manos Tsagkias Netherlands
Chien Chin Chen Taiwan
Choochart Haruechaiyasak Thailand
Flávio Figueiredo Brazil
Ayşe Göker United Kingdom
L. Venkata Subramaniam India
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Rowe

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Rowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Rowe, 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 Matthew Rowe Line = papers co-authored together Matthew Rowe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011133
2
Proceedings of the ESWC2011 Workshop on 'Making Sense of Microposts': Big things come in small packages
201146
3 201141
4
Making sense of microposts (#Microposts2014) named entity extraction & linking challenge
201437
5 201628
6 201428
7 201225
8 201423
9 201420
10
Mapping tweets to conference talks: a goldmine for semantics
201020
11 201318
12 201218
13
Interlinking Distributed Social Graphs
200918
14 201316
15 200316
16 201415
17 201115
18 201614
19
Forecasting audience increase on YouTube
201113
20 202112

About Matthew Rowe

Matthew Rowe is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Cardiology and Cardiovascular Medicine and Communication, having authored 71 papers that have together received 735 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (17 papers), Semantic Web and Ontologies (9 papers), Wikis in Education and Collaboration (7 papers), Data Quality and Management (7 papers), Cardiac pacing and defibrillation studies (5 papers), Expert finding and Q&A systems (5 papers), Cardiac Arrhythmias and Treatments (5 papers) and Topic Modeling (5 papers). The work is most often cited by research in Artificial Intelligence (378 citations), Information Systems (220 citations), Communication (66 citations), Statistical and Nonlinear Physics (107 citations) and Computer Science Applications (46 citations). Matthew Rowe has collaborated with scholars based in United Kingdom, Australia and Hong Kong. Frequent co-authors include Aba‐Sah Dadzie, Harith Alani, Milan Stanković, Fabio Ciravegna, Miriam Fernández, Andrea Varga, Sofia Angeletou, P Stacey, Marcel Karnstedt and Conor Hayes. Their work appears in journals such as Journal of Web Semantics, Semantic Web, Journal of High Energy Physics, Pacing and Clinical Electrophysiology and The British Journal of Aesthetics.

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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