Michael D. Smith

1.2k total citations
13 papers, 862 citations indexed

About

Michael D. Smith is a scholar working on Sociology and Political Science, Political Science and International Relations and Marketing. According to data from OpenAlex, Michael D. Smith has authored 13 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 3 papers in Political Science and International Relations and 3 papers in Marketing. Recurrent topics in Michael D. Smith's work include Digital Marketing and Social Media (5 papers), Technology Adoption and User Behaviour (2 papers) and Complex Network Analysis Techniques (2 papers). Michael D. Smith is often cited by papers focused on Digital Marketing and Social Media (5 papers), Technology Adoption and User Behaviour (2 papers) and Complex Network Analysis Techniques (2 papers). Michael D. Smith collaborates with scholars based in United States, Canada and United Kingdom. Michael D. Smith's co-authors include Alan L. Montgomery, Pei-yu Chen, Rajiv Garg, Rahul Telang, Pedro Ferreira, George H. Chen, Joel Bakan and Stephen Woolcock and has published in prestigious journals such as Journal of Marketing Research, Annual Review of Genetics and Journal of Management Information Systems.

In The Last Decade

Michael D. Smith

12 papers receiving 784 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 D. Smith United States 7 403 265 219 165 85 13 862
Zhe Qu China 17 510 1.3× 308 1.2× 198 0.9× 252 1.5× 518 6.1× 46 1.7k
Subir Bandyopadhyay Canada 21 258 0.6× 495 1.9× 72 0.3× 85 0.5× 89 1.0× 123 1.7k
Chris Varma United States 6 322 0.8× 44 0.2× 356 1.6× 136 0.8× 94 1.1× 7 1.0k
Lifang Peng China 13 441 1.1× 413 1.6× 44 0.2× 297 1.8× 50 0.6× 73 868
Yuchen Chen China 11 601 1.5× 301 1.1× 44 0.2× 288 1.7× 61 0.7× 34 1.2k
Long Pham United States 15 278 0.7× 165 0.6× 69 0.3× 352 2.1× 134 1.6× 44 970
Ming‐Cheng Wu Taiwan 14 410 1.0× 56 0.2× 191 0.9× 529 3.2× 88 1.0× 51 1.4k
Thomas Acton Ireland 17 191 0.5× 74 0.3× 111 0.5× 203 1.2× 97 1.1× 98 1.2k
Yixiao Li China 15 315 0.8× 108 0.4× 32 0.1× 137 0.8× 143 1.7× 43 775
David Jiménez Castillo Spain 13 558 1.4× 351 1.3× 30 0.1× 173 1.0× 44 0.5× 42 1.0k

Countries citing papers authored by Michael D. Smith

Since Specialization
Citations

This map shows the geographic impact of Michael D. 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 D. 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 D. Smith more than expected).

Fields of papers citing papers by Michael D. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Smith. A scholar is included among the top collaborators of Michael D. 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 D. Smith. Michael D. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Chen, George H., et al.. (2021). Consumer Behavior in the Online Classroom: Using Video Analytics and Machine Learning to Understand the Consumption of Video Courseware. Journal of Marketing Research. 58(6). 1079–1100. 56 indexed citations
2.
Smith, Michael D.. (2016). Best practices for OTT dynamic ad insertion. 45 (5 .)–45 (5 .). 1 indexed citations
3.
Smith, Michael D.. (2011). Sharks, Minnows, and Wheelbarrows: Calculus Modeling Projects. PRIMUS. 21(2). 197–209.
4.
Garg, Rajiv, Michael D. Smith, & Rahul Telang. (2011). Measuring Information Diffusion in an Online Community. Journal of Management Information Systems. 28(2). 11–38. 107 indexed citations
5.
Montgomery, Alan L. & Michael D. Smith. (2009). Prospects for Personalization on the Internet. Journal of Interactive Marketing. 23(2). 130–137. 169 indexed citations
6.
Montgomery, Alan L. & Michael D. Smith. (2008). Prospects for Personalization on the Internet. SSRN Electronic Journal. 13 indexed citations
7.
Chen, Pei-yu, et al.. (2008). All Reviews are Not Created Equal: The Disaggregate Impact of Reviews and Reviewers at Amazon.Com. SSRN Electronic Journal. 188 indexed citations
8.
Smith, Michael D., et al.. (2003). The Economics of Peer-to-Peer Networks. SSRN Electronic Journal. 66 indexed citations
9.
Bakan, Joel & Michael D. Smith. (1995). Rights, Nationalism and Social Movements in Canadian Constitutional Politics. Social & Legal Studies. 4(3). 367–390. 5 indexed citations
10.
Smith, Michael D. & Stephen Woolcock. (1994). Learning to cooperate: the Clinton administration and the European Union. International Affairs. 70(3). 459–476. 2 indexed citations
11.
Smith, Michael D.. (1985). IN VITRO MUTAGENESIS. Annual Review of Genetics. 19(1). 423–462. 252 indexed citations
12.
Smith, Michael D.. (1982). Paths to Peace: The UN Security Council and its Presidency. International Affairs. 58(2). 323–324. 2 indexed citations
13.
Smith, Michael D.. (1979). Groups as Moral Agents. Loyola eCommons (Loyola University Chicago). 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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