Devin P. Sullivan

4.5k citations
10 papers · 230 · h-index 5

Impact in

Papers in

    • Gene Regulatory Network Analysis 3
    • Bioinformatics and Genomic Networks 2
    • Microbial Metabolic Engineering and Bioproduction 2
    • Ubiquitin and proteasome pathways 1
    • Cell Image Analysis Techniques 4

Devin P. Sullivan

10 papers receiving 224 citations

Peers

Devin P. Sullivan
Comparison fields: 5 of 88
  • Biophysics 88
  • Health Informatics 7
  • Media Technology 32
  • Ecological Modeling 13
  • Computer Science Applications 12
Replace Mikaela Wiking with:
Mikaela Wiking Sweden
Martin Hjelmare Sweden
Casper F. Winsnes Sweden
Rutger Schutten Sweden
Gus Ferguson United Kingdom
Håkan Wieslander Sweden
Paola Masuzzo Belgium
Joshua Kangas United States
Ádám Arany Belgium
Nico Verbeeck United States
Devin P. Sullivan relative to Mikaela Wiking Sweden Mikaela Wiking's profile →
Citations per field
00.5×1.5×2.4×
Mikaela Wiking · 1×
Citations per year

Countries citing papers authored by Devin P. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Devin P. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devin P. Sullivan. 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 Devin P. Sullivan. The network helps show where Devin P. Sullivan may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2018120
2 201633
3 201627
4 201521
5 201717
6 20154
7 20203
8 20232
9
Machine learning and data mining for IPv6 network defence
20182
10 20181

About Devin P. Sullivan

Devin P. Sullivan is a scholar working on Molecular Biology, Biophysics, Cell Biology, Spectroscopy and Computer Networks and Communications, having authored 10 papers that have together received 230 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Gene Regulatory Network Analysis (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Microtubule and mitosis dynamics (1 paper), Ubiquitin and proteasome pathways (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Biophysics (88 citations), Health Informatics (7 citations), Media Technology (32 citations), Ecological Modeling (13 citations) and Computer Science Applications (12 citations). Devin P. Sullivan has collaborated with scholars based in United States, Sweden and Denmark. Frequent co-authors include Robert F. Murphy, Rutger Schutten, Emma Lundberg, Kevin Smith, Mikaela Wiking, Martin Hjelmare, Lovisa Åkesson, Casper F. Winsnes, Joshua Kangas and B. Revaz. Their work appears in journals such as Molecular Biology of the Cell, PLoS ONE, PLoS Computational Biology, Oncotarget and eLife.

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.

Explore authors with similar magnitude of impact