Robert F. Murphy

21.6k total citations · 4 hit papers
277 papers, 14.4k citations indexed

About

Robert F. Murphy is a scholar working on Molecular Biology, Biophysics and Media Technology. According to data from OpenAlex, Robert F. Murphy has authored 277 papers receiving a total of 14.4k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Molecular Biology, 111 papers in Biophysics and 42 papers in Media Technology. Recurrent topics in Robert F. Murphy's work include Cell Image Analysis Techniques (108 papers), Image Processing Techniques and Applications (42 papers) and Machine Learning in Bioinformatics (25 papers). Robert F. Murphy is often cited by papers focused on Cell Image Analysis Techniques (108 papers), Image Processing Techniques and Applications (42 papers) and Machine Learning in Bioinformatics (25 papers). Robert F. Murphy collaborates with scholars based in United States, Germany and United Kingdom. Robert F. Murphy's co-authors include Barbara Means, Yukie Toyama, Marianne Bakia, Michael V. Boland, Meel Velliste, James Bonner, Kai Huang, R. Bruce Wallace, Mario Roederer and Frank M. Balis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Robert F. Murphy

268 papers receiving 13.2k citations

Hit Papers

Evaluation of Evidence-Based P... 1979 2026 1994 2010 2009 2013 1979 1984 500 1000 1.5k 2.0k

Peers

Robert F. Murphy
Comparison fields: 5 of 225
  • Molecular Biology 5.5k
  • Biophysics 3.0k
  • Education 2.5k
  • Media Technology 1.3k
  • Cell Biology 928
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Citations per field, relative to Robert F. Murphy
Robert F. Murphy · 1×
Citations per year, relative to Robert F. Murphy
Robert F. Murphy · 1×

Countries citing papers authored by Robert F. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Robert F. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert F. Murphy. 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 Robert F. Murphy. The network helps show where Robert F. Murphy may publish in the future.

Co-authorship network of co-authors of Robert F. Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of Robert F. Murphy. A scholar is included among the top collaborators of Robert F. Murphy 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 Robert F. Murphy. Robert F. Murphy 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 3
2 2
3 2
4 1
5 3
6 6
7 3
8 1
9 10
10 10
11 14
12 10
13 4
14 47
15 33
16 23
17 31
18 3
19
Comparative Development and Policy in Asia
0
20 46

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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