Matthew Ward

747 citations
21 papers · 530 · h-index 9

Impact in

Papers in

Matthew Ward

20 papers receiving 501 citations

Peers

Matthew Ward
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 388
  • Computational Mathematics 6
  • Computer Graphics and Computer-Aided Design 33
  • Signal Processing 93
  • Geography, Planning and Development 34
Replace Steffen Hadlak with:
Steffen Hadlak Germany
Danielle Albers United States
Radu Jianu United States
Rick Walker United Kingdom
Sebastian Mittelstädt Germany
Arnaud Sallaberry France
Beth Hetzler United States
Başak Alper United States
Guodao Sun China
Florian Stoffel Germany
Matthew Ward relative to Steffen Hadlak Germany Steffen Hadlak's profile →
Citations per field
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Citations per year

Countries citing papers authored by Matthew Ward

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012203
2 200671
3 200866
4 200659
5 200424
6 202123
7 200519
8 202211
9 20219
10 20119
11 20049
12 20046
13 20015
14 20165
15 20023
16 20133
17 19992
18 19891
19 20251
20
Visual Analysis of Multivariate Data Streams Based on DOI Functions
20101

About Matthew Ward

Matthew Ward is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Law and Economics and Econometrics, having authored 21 papers that have together received 530 indexed citations. Recurring topics across this work include Data Visualization and Analytics (11 papers), Data Management and Algorithms (5 papers), Image Retrieval and Classification Techniques (4 papers), Data Analysis with R (3 papers), Advanced Text Analysis Techniques (3 papers), Time Series Analysis and Forecasting (3 papers), Electoral Systems and Political Participation (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (388 citations), Computational Mathematics (6 citations), Computer Graphics and Computer-Aided Design (33 citations), Signal Processing (93 citations) and Geography, Planning and Development (34 citations). Matthew Ward has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Min Chen, Helwig Hauser, Johannes Kehrer, David Chung, Robert S. Laramee, Eamonn Maguire, Rita Borgo, Elke Angelika Rundensteiner, Helen C. Purchase and T. J. Jankun-Kelly. Their work appears in journals such as Political Research Quarterly, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, IEEE Computer Graphics and Applications, The Journal of Politics and Politics and Governance.

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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