Peter Hobson

2.2k citations
61 papers · 1.9k · h-index 22

Impact in

Papers in

Peter Hobson

58 papers receiving 1.9k citations

Peers

Peter Hobson
Comparison fields: 5 of 118
  • Health, Toxicology and Mutagenesis 1.1k
  • Environmental Chemistry 328
  • Cancer Research 298
  • Media Technology 184
  • Pollution 191
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Chang Wang China
Beena Vallanat United States
Xiaokang Zhang China
José Miguel García‐Sagredo Spain
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Citations per year

Countries citing papers authored by Peter Hobson

Since Specialization
Citations

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

Fields of papers citing papers by Peter Hobson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014225
2 2009171
3 2009154
4 2017121
5 2008118
6 201699
7 202065
8
Classification of Human Epithelial Type 2 Cell Indirect Immunofluoresence Images via Codebook Based Descriptors
201364
9 201563
10 201559
11 201255
12 201353
13 201945
14 202042
15 201939
16 201638
17 201636
18 200536
19 201627
20 201927

About Peter Hobson

Peter Hobson is a scholar working on Health, Toxicology and Mutagenesis, Biophysics, Media Technology, Environmental Chemistry and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (15 papers), Effects and risks of endocrine disrupting chemicals (11 papers), Cell Image Analysis Techniques (10 papers), Image Processing Techniques and Applications (10 papers), Air Quality and Health Impacts (9 papers), Digital Imaging for Blood Diseases (8 papers), Per- and polyfluoroalkyl substances research (8 papers) and Carcinogens and Genotoxicity Assessment (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.1k citations), Environmental Chemistry (328 citations), Cancer Research (298 citations), Media Technology (184 citations) and Pollution (191 citations). Peter Hobson has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Jochen F. Mueller, Leisa-Maree Leontjew Toms, Fiona A. Harden, Brian C. Lovell, Arnold Wiliem, Amy L. Heffernan, Andreas Sjödin, Adrian Covaci, Nele Van den Eede and Lesa L. Aylward. Their work appears in journals such as Environment International, Environmental Science & Technology, Environmental Research, Environmental Health Perspectives and Pattern Recognition Letters.

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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