Michelle Kendall

5.7k citations
32 papers · 2.7k indexed · 2 hit papers · h-index 17

Impact in

Papers in

Michelle Kendall

32 papers receiving 2.6k citations

Hit Papers

The epidemiological impact of the NHS COVID-19 app 2021 · 163 citations
163202020262022202450010001.5k

Peers

Michelle Kendall
Comparison fields: 5 of 158
  • Modeling and Simulation 1.0k
  • Information Systems 764
  • Infectious Diseases 575
  • Health, Toxicology and Mutagenesis 418
  • Transportation 111
Replace Samuel V. Scarpino with:
Samuel V. Scarpino United States
Anna Petherick United Kingdom
Huaiyu Tian China
Shengjie Lai China
Bernardo Gutiérrez Ecuador
Tao Hu China
Hannah R. Meredith United States
Brennan Klein United States
Ruoran Li China
Nuno R. Faria United Kingdom
Michelle Kendall relative to Samuel V. Scarpino United States Samuel V. Scarpino's profile →
Citations per field
00.5×3.3×
Samuel V. Scarpino · 1×
Citations per year

Countries citing papers authored by Michelle Kendall

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Kendall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20234
3 202322
4 202328
5 20222
6
The epidemiological impact of the NHS COVID-19 app
Hit paper breakdown →
2021163
7
Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing
Hit paper breakdown →
20201519
8 202056
9 202015
10 202020
11 201910
12 201718
13 201713
14 201691
15
Statistical Exploration of Landscapes of Phylogenetic Trees
20152
16 20112
17 20081
18 200438
19 2004172
20 1999125

About Michelle Kendall

Michelle Kendall is a scholar working on Modeling and Simulation, Health, Toxicology and Mutagenesis, Automotive Engineering, Transportation and Catalysis, having authored 32 papers that have together received 2.7k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (8 papers), COVID-19 Digital Contact Tracing (6 papers), COVID-19 epidemiological studies (5 papers), Genomics and Phylogenetic Studies (4 papers), Vehicle emissions and performance (4 papers), Obesity, Physical Activity, Diet (3 papers), Data-Driven Disease Surveillance (3 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Modeling and Simulation (1.0k citations), Information Systems (764 citations), Infectious Diseases (575 citations), Health, Toxicology and Mutagenesis (418 citations) and Transportation (111 citations). Michelle Kendall has collaborated with scholars based in United Kingdom, United States and Taiwan. Frequent co-authors include Christophe Fraser, Chris Wymant, Luca Ferretti, Lucie Abeler‐Dörner, David Bonsall, Lele Zhao, Anel Nurtay, Michael Parker, Caroline Colijn and I.D. Williams. Their work appears in journals such as Atmospheric Environment, Preventing Chronic Disease, Nature, Science and Current Protocols.

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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