Colin Pawlowski

1.7k citations
30 papers · 857 indexed · h-index 16
Topics
SARS-CoV-2 and COVID-19 Research (15 papers)COVID-19 Clinical Research Studies (13 papers)Vaccine Coverage and Hesitancy (7 papers)

In The Last Decade

Colin Pawlowski

29 papers receiving 828 citations

Peers

Colin Pawlowski
Comparison fields: 5 of 131
  • Infectious Diseases 469
  • Health 165
  • Neurology 113
  • Epidemiology 86
  • Artificial Intelligence 85
Replace Massimo Locatelli with:
Massimo Locatelli Italy
Johad Khoury Israel
Smadar Shilo Israel
Evangelia K. Mylona United States
Dechang Chen China
Amos Lal United States
Markos Kalligeros United States
Jeremiah S. Hinson United States
Giulio Viceconte Italy
Colin Pawlowski relative to Massimo Locatelli Italy Massimo Locatelli's profile →
Citations per field
00.5×3.5×
Massimo Locatelli · 1×
Citations per year

Countries citing papers authored by Colin Pawlowski

Since Specialization
Citations

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

Fields of papers citing papers by Colin Pawlowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colin Pawlowski

This figure shows the co-authorship network connecting the top 25 collaborators of Colin Pawlowski. A scholar is included among the top collaborators of Colin Pawlowski 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 Colin Pawlowski. Colin Pawlowski 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 1
2 1
3 3
4 8
5 11
6 7
7 97
8 36
9 112
10 79
11 29
12 25
13 18
14 7
15 6
16 12
17 23
18 38
19
From predictive methods to missing data imputation: an optimization approach
140
20 25

About Colin Pawlowski

Colin Pawlowski is a scholar working on Computational Mathematics, Infectious Diseases and Health, having authored 30 papers that have together received 857 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (15 papers), COVID-19 Clinical Research Studies (13 papers) and Vaccine Coverage and Hesitancy (7 papers). The work is most often cited by research in Infectious Diseases (469 citations), Health (165 citations) and Modeling and Simulation (71 citations). Colin Pawlowski has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Dimitris Bertsimas, Ying Daisy Zhuo, John C. O’Horo, Andrew D. Badley, Venky Soundararajan, AJ Venkatakrishnan, Arjun Puranik, Patrick J. Lenehan, John Halamka and Melanie D. Swift. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Journal of Clinical Oncology.

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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