Mark S. Smolinski

6.2k citations
42 papers · 4.0k indexed · 1 hit paper · h-index 15

Mark S. Smolinski

41 papers receiving 3.7k citations

Hit Papers

Detecting influenza epidemics using search engine query data2.9k200820262014202050010001.5k2.0k2.5k

Peers

Mark S. Smolinski
Comparison fields: 5 of 172
  • Modeling and Simulation 717
  • Epidemiology 2.0k
  • Transportation 212
  • Health 247
  • Applied Microbiology and Biotechnology 51
Replace Mauricio Santillana with:
Mauricio Santillana United States
Kenneth D. Mandl United States
Larry Brilliant United States
Alberto M. Segre United States
Lynnette Brammer United States
Marcel Salathé Switzerland
Jeremy Ginsberg United States
Sen Pei United States
Rumi Chunara United States
Bryan Lewis United States
Mark S. Smolinski relative to Mauricio Santillana United States Mauricio Santillana's profile →
Citations per field
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Mauricio Santillana · 1×
Citations per year

Countries citing papers authored by Mark S. Smolinski

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Smolinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20235
3 20232
4 202323
5 20224
6 202216
7 202112
8 202028
9 201829
10 201742
11 201727
12 201767
13 201725
14 201330
15 20131
16
Detecting influenza epidemics using search engine query databreakdown →
20082914
17 20031
18 199911
19
Trichinellosis in Roumania. Epidemiological aspects.
19702
20
Valeur de la réaction d'immunofluorescence pour le dépistage des infections à P. malariae et la dynamique des titres des anticorps au cours de l'infection et après le traitement radical.
19691

About Mark S. Smolinski

Mark S. Smolinski is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 42 papers that have together received 4.0k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (21 papers), Viral Infections and Outbreaks Research (12 papers), Zoonotic diseases and public health (12 papers), Influenza Virus Research Studies (9 papers), COVID-19 epidemiological studies (6 papers), Mosquito-borne diseases and control (4 papers), Malaria Research and Control (4 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Modeling and Simulation (717 citations), Epidemiology (2.0k citations) and Transportation (212 citations). Mark S. Smolinski has collaborated with scholars based in United States, Thailand and United Kingdom. Frequent co-authors include Lynnette Brammer, Rajan Patel, Jeremy Ginsberg, Larry Brilliant, Margaret Hamburg, Joshua Lederberg, Adam W. Crawley, John S. Brownstein, Rumi Chunara and Jennifer M. Olsen. Their work appears in journals such as Nature, American Journal of Public Health and Emerging infectious diseases.

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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