Michael J. Murdoch

938 total citations
55 papers, 692 citations indexed

About

Michael J. Murdoch is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Michael J. Murdoch has authored 55 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Atomic and Molecular Physics, and Optics, 25 papers in Computer Vision and Pattern Recognition and 21 papers in Cognitive Neuroscience. Recurrent topics in Michael J. Murdoch's work include Color Science and Applications (34 papers), Visual perception and processing mechanisms (21 papers) and Color perception and design (20 papers). Michael J. Murdoch is often cited by papers focused on Color Science and Applications (34 papers), Visual perception and processing mechanisms (21 papers) and Color perception and design (20 papers). Michael J. Murdoch collaborates with scholars based in United States, Netherlands and Finland. Michael J. Murdoch's co-authors include D.G. Goodenough, K. Olaf Niemann, C. P. West, Tian Han, A. Dyk, Jay Pearlman, Hao Chen, Marc Lambooij, Michael E. Miller and Ingrid Heynderickx and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Optics Express.

In The Last Decade

Michael J. Murdoch

53 papers receiving 645 citations

Peers

Michael J. Murdoch
Comparison fields: 5 of 89
  • Media Technology 213
  • Computer Vision and Pattern Recognition 168
  • Ecology 167
  • Atomic and Molecular Physics, and Optics 164
  • Environmental Engineering 101
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Citations per field, relative to Michael J. Murdoch
Michael J. Murdoch · 1×
Citations per year, relative to Michael J. Murdoch
Michael J. Murdoch · 1×

Countries citing papers authored by Michael J. Murdoch

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Murdoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Murdoch. 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 Michael J. Murdoch. The network helps show where Michael J. Murdoch may publish in the future.

Co-authorship network of co-authors of Michael J. Murdoch

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Murdoch. A scholar is included among the top collaborators of Michael J. Murdoch 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 Michael J. Murdoch. Michael J. Murdoch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 3
4 2
5 1
6 3
7 2
8 3
9 17
10 1
11 3
12
Dynamic color perception : how fast are the Munsell hues?
0
13 3
14 4
15 36
16 10
17 1
18 1
19 1
20 10

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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