Michael C. Smith

24 papers receiving 484 citations

Peers

Michael C. Smith
Comparison fields: 5 of 104
  • Health 198
  • Communication 46
  • Sociology and Political Science 287
  • Modeling and Simulation 26
  • Artificial Intelligence 141
Replace Kyriaki Kalimeri with:
Kyriaki Kalimeri Italy
Akash Dutt Dubey India
Hanjia Lyu United States
Fulian Yin China
Shashank Khandelwal United States
Juhi Kulshrestha Germany
Tom De Smedt Belgium
Nina Cesare United States
Zack W. Almquist United States
Mohsen Farhadloo United States
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Citations per year

Countries citing papers authored by Michael C. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Smith. 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 Michael C. Smith. The network helps show where Michael C. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020137
2 201591
3 202062
4 201155
5 201434
6
Examining Patterns of Influenza Vaccination in Social Media.
201731
7 200022
8 201715
9 201715
10 201912
11
How to Do Systems Analysis: Primer and Casebook
20168
12 20205
13
The Regional Concept for Transportation Operations: A Practitioner's Guide
20113
14 20203
15 20152
16 19982
17 20201
18
Planning for Transportation Systems Management and Operations within Corridors - A Desk Reference
20161
19
Engineering sustainable solutions: Education program - Putting sustainability as a 'critical literacy' into mainstream engineering curricula
20041
20 20111

About Michael C. Smith

Michael C. Smith is a scholar working on Sociology and Political Science, Health, Artificial Intelligence, Education and Management Science and Operations Research, having authored 26 papers that have together received 506 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (5 papers), Particle Detector Development and Performance (3 papers), Vaccine Coverage and Hesitancy (3 papers), Crime Patterns and Interventions (2 papers), Radiation Detection and Scintillator Technologies (2 papers), Digital and Cyber Forensics (2 papers), Influenza Virus Research Studies (2 papers) and CCD and CMOS Imaging Sensors (2 papers). The work is most often cited by research in Health (198 citations), Communication (46 citations), Sociology and Political Science (287 citations), Modeling and Simulation (26 citations) and Artificial Intelligence (141 citations). Michael C. Smith has collaborated with scholars based in United States, Sweden and Belarus. Frequent co-authors include Mark Dredze, David Broniatowski, Sandra Crouse Quinn, Amelia Jamison, Karen Hilyard, William T. Scherer, Per Angelstam, Marius Lazdinis, Peter M. Stevens and Robert Axelsson. Their work appears in journals such as IEEE Transactions on Nuclear Science, BMJ Open, IEEE Systems Journal, American Journal of Preventive Medicine and Journal of Medical Systems.

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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