Ian Painter

4.2k citations
84 papers · 2.5k indexed · 1 hit paper · h-index 18
Topics
Data-Driven Disease Surveillance (16 papers)Maternal and fetal healthcare (11 papers)Trauma and Emergency Care Studies (10 papers)

In The Last Decade

Ian Painter

78 papers receiving 2.4k citations

Hit Papers

Estimating the rate of evolution of the rate of molecular...199820262007201619982505007501000

Peers

Ian Painter
Comparison fields: 5 of 181
  • Genetics 750
  • Molecular Biology 665
  • Paleontology 408
  • Ecology, Evolution, Behavior and Systematics 366
  • Ecology 242
Replace Alexander V. Alekseyenko with:
Alexander V. Alekseyenko United States
Mike B. Gravenor United Kingdom
Indra Neil Sarkar United States
Arianne Albert Canada
Ryan D. Hernandez United States
Daniel D. Murray Denmark
Michael J. Vjecha United States
Wuelton Marcelo Monteiro Brazil
Daniel J. Weiss United States
Daniel J. Lawson United Kingdom
Ian Painter relative to Alexander V. Alekseyenko United States Alexander V. Alekseyenko's profile →
Citations per field
00.5×1.5×2.4×
Alexander V. Alekseyenko · 1×
Citations per year

Countries citing papers authored by Ian Painter

Since Specialization
Citations

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

Fields of papers citing papers by Ian Painter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Painter

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Painter. A scholar is included among the top collaborators of Ian Painter 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 Painter. Ian Painter 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
#WorkIndexed citations
1 0
2 1
3 2
4 1
5 1
6 7
7 0
8 14
9 4
10 26
11 13
12 15
13 13
14 2
15 1
16 161
17 41
18 11
19 16
20 74

About Ian Painter

Ian Painter is a scholar working on Obstetrics and Gynecology, Emergency Medicine and Pediatrics, Perinatology and Child Health, having authored 84 papers that have together received 2.5k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (16 papers), Maternal and fetal healthcare (11 papers) and Trauma and Emergency Care Studies (10 papers). The work is most often cited by research in Paleontology (408 citations), Genetics (750 citations) and Emergency Medicine (230 citations). Ian Painter has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Hirohisa Kishino, Jeffrey L. Thorne, Rongling Wu, Chang‐Xing Ma, Zhao‐Bang Zeng, Lauren Carroll, Neil F. Abernethy, Landon T Detwiler, Tsung‐chieh Fu and Debra Revere. Their work appears in journals such as Bioinformatics, Genetics and Spine.

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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