Damian Merrick

12 papers receiving 194 citations

Peers

Damian Merrick
Comparison fields: 5 of 54
  • Signal Processing 88
  • Computer Vision and Pattern Recognition 80
  • Geography, Planning and Development 60
  • Artificial Intelligence 34
  • Computer Graphics and Computer-Aided Design 34
Replace Roeland Scheepens with:
Roeland Scheepens Netherlands
Ling Xiao China
Kefeng Xuan Australia
Marc Benkert Australia
Doron Nussbaum Canada
Andy Diwen Zhu Singapore
Luca Forlizzi Italy
Anne Driemel Netherlands
Manli Zhu Singapore
Nathan Thomas United Kingdom
Damian Merrick relative to Roeland Scheepens Netherlands Roeland Scheepens's profile →
Citations per field
00.5×1.5×
Roeland Scheepens · 1×
Citations per year

Countries citing papers authored by Damian Merrick

Since Specialization
Citations

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

Fields of papers citing papers by Damian Merrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damian Merrick

This figure shows the co-authorship network connecting the top 25 collaborators of Damian Merrick. A scholar is included among the top collaborators of Damian Merrick based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Damian Merrick. Damian Merrick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 3
2 3
3 40
4
An ILP for the metro-line crossing problem
7
5 7
6 45
7 40
8
Increasing the readability of graph drawings with centrality-based scaling
11
9 42
10 2
11
Graph interaction through force-based skeletal animation
1
12
Skeletal animation for the exploration of graphs
4

About Damian Merrick

Damian Merrick is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Geography, Planning and Development, having authored 12 papers that have together received 205 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (6 papers), Data Management and Algorithms (6 papers) and Data Visualization and Analytics (5 papers). The work is most often cited by research in Geography, Planning and Development (60 citations), Computer Graphics and Computer-Aided Design (34 citations) and Signal Processing (88 citations). Damian Merrick has collaborated with scholars based in Australia, Netherlands and Denmark. Frequent co-authors include Seok-Hee Hong, Joachim Gudmundsson, Hugo Alexandre Dantas do Nascimento, Marc Benkert, Martin Nöllenburg, Alexander Wolff, Thomas Wolle, Jyrki Katajainen, Ashraf Ahmed and Andrej Mrvar. Their work appears in journals such as Journal of Hydrology, Computers Environment and Urban Systems and Lecture notes in computer science.

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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