Michael C. Smith

919 total citations
26 papers, 506 citations indexed

About

Michael C. Smith is a scholar working on Sociology and Political Science, Health and Artificial Intelligence. According to data from OpenAlex, Michael C. Smith has authored 26 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 4 papers in Health and 4 papers in Artificial Intelligence. Recurrent topics in Michael C. Smith's work include Misinformation and Its Impacts (5 papers), Particle Detector Development and Performance (3 papers) and Vaccine Coverage and Hesitancy (3 papers). Michael C. Smith is often cited by papers focused on Misinformation and Its Impacts (5 papers), Particle Detector Development and Performance (3 papers) and Vaccine Coverage and Hesitancy (3 papers). Michael C. Smith collaborates with scholars based in United States, Sweden and Belarus. Michael C. Smith's co-authors include David Broniatowski, Mark Dredze, Sandra Crouse Quinn, Amelia Jamison, Karen Hilyard, William T. Scherer, Marine Elbakidze, Ileana Pătru-Stupariu, Marius Lazdinis and Per Angelstam and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Public Health and American Journal of Preventive Medicine.

In The Last Decade

Michael C. Smith

24 papers receiving 484 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael C. Smith United States 10 287 198 141 52 46 26 506
Nina Cesare United States 11 200 0.7× 59 0.3× 63 0.4× 61 1.2× 71 1.5× 28 479
Kyriaki Kalimeri Italy 14 219 0.8× 71 0.4× 171 1.2× 20 0.4× 75 1.6× 43 634
Christos Nicolaides United States 11 203 0.7× 85 0.4× 32 0.2× 70 1.3× 26 0.6× 29 763
Zack W. Almquist United States 13 174 0.6× 48 0.2× 37 0.3× 59 1.1× 25 0.5× 33 480
Hanjia Lyu United States 10 144 0.5× 82 0.4× 158 1.1× 20 0.4× 28 0.6× 29 380
Corina Graif United States 14 636 2.2× 187 0.9× 61 0.4× 72 1.4× 8 0.2× 22 916
Fulian Yin China 11 197 0.7× 78 0.4× 124 0.9× 22 0.4× 40 0.9× 76 500
Avinash Collis United States 10 194 0.7× 109 0.6× 22 0.2× 49 0.9× 27 0.6× 21 518
Tom De Smedt Belgium 13 121 0.4× 61 0.3× 237 1.7× 59 1.1× 63 1.4× 31 729
Leo Ferres Chile 12 108 0.4× 27 0.1× 90 0.6× 47 0.9× 35 0.8× 38 601

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-authorship network of co-authors of Michael C. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Smith. A scholar is included among the top collaborators of Michael C. Smith 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 Michael C. Smith. Michael C. Smith 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
1.
Smith, Michael C., et al.. (2020). Systems Engineering Graduate Education for Veterans - A Pilot Program. Papers on Engineering Education Repository (American Society for Engineering Education). 23.1128.1–23.1128.14. 1 indexed citations
2.
Jamison, Amelia, et al.. (2020). Adapting and Extending a Typology to Identify Vaccine Misinformation on Twitter. American Journal of Public Health. 110(S3). S331–S339. 62 indexed citations
3.
Bailey, Reid & Michael C. Smith. (2020). Implementation and Assessment of a Blended Learning Environment as an Approach to Better Engage Students in a Large Systems Design Class. Papers on Engineering Education Repository (American Society for Engineering Education). 23.692.1–23.692.13. 5 indexed citations
4.
Jamison, Amelia, et al.. (2020). Not just conspiracy theories: Vaccine opponents and proponents add to the COVID-19 ‘infodemic’ on Twitter. SHILAP Revista de lepidopterología. 1. 137 indexed citations
5.
Wells, Ryan S., et al.. (2020). Assessing Student Learning of Systems Thinking Concepts in an Online Education Module. 1–6. 3 indexed citations
6.
Huang, Xiaolei, Michael C. Smith, Amelia Jamison, et al.. (2019). Can online self-reports assist in real-time identification of influenza vaccination uptake? A cross-sectional study of influenza vaccine-related tweets in the USA, 2013–2017. BMJ Open. 9(1). e024018–e024018. 12 indexed citations
7.
Huang, Xiaolei, Michael C. Smith, Michael J. Paul, et al.. (2017). Examining Patterns of Influenza Vaccination in Social Media.. National Conference on Artificial Intelligence. 31 indexed citations
8.
Scherer, William T., et al.. (2017). Trends Over Two Decades of Transportation Research. Transportation Research Record Journal of the Transportation Research Board. 2614(1). 1–9. 15 indexed citations
9.
Grant, Michael, et al.. (2016). Planning for Transportation Systems Management and Operations within Corridors - A Desk Reference. 1 indexed citations
10.
Dredze, Mark, David Broniatowski, Michael C. Smith, & Karen Hilyard. (2015). Understanding Vaccine Refusal. American Journal of Preventive Medicine. 50(4). 550–552. 91 indexed citations
11.
Smith, Michael C., et al.. (2015). Criminal justice system data analysis and visualization. 295–299. 2 indexed citations
12.
Scherer, William T., et al.. (2014). Systems Thinking About Systems Thinking A Proposal for a Common Language. IEEE Systems Journal. 9(4). 1117–1128. 34 indexed citations
14.
Smith, Michael C., et al.. (2011). The Regional Concept for Transportation Operations: A Practitioner's Guide. 3 indexed citations
15.
Smith, Michael C., et al.. (2011). Albemarle-Charlottesville Regional Jail overcrowding systems analysis. 192–197. 1 indexed citations
16.
Angelstam, Per, Robert Axelsson, Marine Elbakidze, et al.. (2011). Knowledge production and learning for sustainable forest management on the ground: Pan-European landscapes as a time machine. Forestry An International Journal of Forest Research. 84(5). 581–596. 55 indexed citations
17.
Mason, John, et al.. (2007). Management & Operations in the Metropolitan Transportation Plan: A Guidebook for Creating an Objectives-Driven, Performance-Based Approach. Interim Draft. 1 indexed citations
18.
Desha, Cheryl, et al.. (2004). Engineering sustainable solutions: Education program - Putting sustainability as a 'critical literacy' into mainstream engineering curricula. 1 indexed citations
19.
Stevens, Peter M., et al.. (2000). Organizational communication and information processes in an internet-enabled environment. Psychology and Marketing. 17(7). 607–632. 22 indexed citations
20.
Smith, Michael C., et al.. (1978). A component approach to health systems design. Journal of Medical Systems. 2(3). 213–232. 1 indexed citations

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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