Ian Miller

2.8k citations
16 papers · 1.6k indexed · 1 hit paper · h-index 11
Topics
COVID-19 epidemiological studies (6 papers)Plant Parasitism and Resistance (3 papers)Plant Pathogens and Resistance (3 papers)

In The Last Decade

Ian Miller

15 papers receiving 1.5k citations

Hit Papers

Infectious disease in an era of global change202120262022202420212505007501000

Peers

Ian Miller
Comparison fields: 5 of 174
  • Infectious Diseases 510
  • Public Health, Environmental and Occupational Health 331
  • Modeling and Simulation 291
  • Molecular Biology 234
  • Epidemiology 177
Replace Fidisoa Rasambainarivo with:
Fidisoa Rasambainarivo United States
Benjamin L. Rice United States
Caroline E. Wagner United States
Malavika Rajeev United States
Kiyosu Taniguchi Japan
Radhika Gharpure United States
Henry Walke United States
Rashid Ansumana Sierra Leone
Anwar M. Hashem Saudi Arabia
Rachel E. Baker United States
Ian Miller relative to Fidisoa Rasambainarivo United States Fidisoa Rasambainarivo's profile →
Citations per field
00.5×1.5×2.4×
Fidisoa Rasambainarivo · 1×
Citations per year

Countries citing papers authored by Ian Miller

Since Specialization
Citations

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

Fields of papers citing papers by Ian Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Miller

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 11
2 14
3 0
4 11
5 8
6 44
7 19
8
Infectious disease in an era of global changebreakdown →
1043
9 322
10 11
11 12
12 38
13 10
14 5
15 6
16 25

About Ian Miller

Ian Miller is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Plant Parasitism and Resistance (3 papers) and Plant Pathogens and Resistance (3 papers). The work is most often cited by research in Modeling and Simulation (291 citations), Infectious Diseases (510 citations) and Health (101 citations). Ian Miller has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include C. Jessica E. Metcalf, Benjamin L. Rice, Andrew J. Tatem, Fidisoa Rasambainarivo, Rachel E. Baker, Malavika Rajeev, Amy Wesolowski, Lin‐Fa Wang, Ayesha S. Mahmud and Saki Takahashi. Their work appears in journals such as Nature Medicine, Nature Reviews Microbiology and Scientific Reports.

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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