Michael C. Smith

25 papers receiving 527 citations

Peers

Michael C. Smith
Comparison fields: 5 of 105
  • Health 178
  • Modeling and Simulation 28
  • Communication 44
  • Sociology and Political Science 261
  • Artificial Intelligence 129
Replace Akash Dutt Dubey with:
Akash Dutt Dubey India
Shashank Khandelwal United States
Hanjia Lyu United States
Fulian Yin China
Jim Samuel United States
Bjarke Mønsted Denmark
Bernadette Hyland Australia
Tom De Smedt Belgium
Mohsen Farhadloo United States
Zack W. Almquist 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020146
2 201595
3 202067
4 201160
5 201436
6
Examining Patterns of Influenza Vaccination in Social Media.
201735
7 200026
8 201715
9 201715
10 201912
11
How to Do Systems Analysis: Primer and Casebook
20169
12 20167
13 20206
14 20205
15 20153
16
The Regional Concept for Transportation Operations: A Practitioner's Guide
20113
17 19982
18 19781
19 20081
20 20111

About Michael C. Smith

Michael C. Smith is a scholar working on Sociology and Political Science, Health, Artificial Intelligence, Education and Epidemiology, having authored 28 papers that have together received 551 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (4 papers), Vaccine Coverage and Hesitancy (3 papers), Particle Detector Development and Performance (3 papers), CCD and CMOS Imaging Sensors (2 papers), Hate Speech and Cyberbullying Detection (2 papers), Radiation Detection and Scintillator Technologies (2 papers), Data Quality and Management (2 papers) and Digital and Cyber Forensics (2 papers). The work is most often cited by research in Health (178 citations), Modeling and Simulation (28 citations), Communication (44 citations), Sociology and Political Science (261 citations) and Artificial Intelligence (129 citations). Michael C. Smith has collaborated with scholars based in United States, Sweden and Belgium. Frequent co-authors include David Broniatowski, Mark Dredze, Sandra Crouse Quinn, Amelia Jamison, Karen Hilyard, William T. Scherer, Peter M. Stevens, Marius Lazdinis, Per Angelstam and Robert Axelsson. Their work appears in journals such as IEEE Transactions on Nuclear Science, American Journal of Preventive Medicine, IEEE Systems Journal, BMJ Open and Forestry An International Journal of Forest Research.

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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