Mark J. Robinson

500 citations
15 papers · 387 · h-index 10

Impact in

Papers in

    • Respiratory viral infections research 3
    • Herpesvirus Infections and Treatments 2
    • T-cell and Retrovirus Studies 3
    • Immune Cell Function and Interaction 3

Mark J. Robinson

15 papers receiving 377 citations

Peers

Mark J. Robinson
Comparison fields: 5 of 64
  • Psychiatry and Mental health 84
  • Virology 19
  • Immunology 76
  • Genetics 98
  • Epidemiology 100
Replace Erica Diani with:
Erica Diani Italy
Claire Simard Canada
Shunsuke Takenaka Japan
D. Brennan United States
Bharati M. Sanjanwala United States
William C. Wallen United States
Loubna Jouan Canada
Kalle Andreasson Sweden
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Mark J. Robinson relative to Erica Diani Italy Erica Diani's profile →
Citations per field
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Erica Diani · 1×
Citations per year

Countries citing papers authored by Mark J. Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200095
2 201094
3 201153
4 202044
5 201126
6 200715
7 199512
8 201111
9 201110
10 200210
11 20136
12 20124
13 20134
14
Automatic correction for atmospheric degradation in infrared images
19982
15 20111

About Mark J. Robinson

Mark J. Robinson is a scholar working on Epidemiology, Immunology, Psychiatry and Mental health, Infectious Diseases and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 387 indexed citations. Recurring topics across this work include Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Respiratory viral infections research (3 papers), T-cell and Retrovirus Studies (3 papers), Immune Cell Function and Interaction (3 papers), Infrared Target Detection Methodologies (2 papers), Parvovirus B19 Infection Studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Psychiatry and Mental health (84 citations), Virology (19 citations), Immunology (76 citations), Genetics (98 citations) and Epidemiology (100 citations). Mark J. Robinson has collaborated with scholars based in United Kingdom, Thailand and India. Frequent co-authors include Otto Erlwein, Myra O. McClure, Steve Kaye, Jonathan Weber, J. Smith, D.S. Latchman, R. S. Coffin, Caroline E. Lilley, James A. Palmer and Oya Cingöz. Their work appears in journals such as Journal of Medical Virology, Retrovirology, PLoS ONE, Trends in Microbiology and Journal of Virology.

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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