Marlene A. Smith
Impact in
- Statistics and Probability top 5%
- Statistics Education and Methodologies
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
-
- Statistics Education and Methodologies 5
- Statistical Methods and Inference 3
-
- Management and Marketing Education 6
- Co-authors
- Deborah L. KelloggHerman AguinisWilliam C. ParrMurray J. CôtéE. Woodrow EckardG. S. MaddalaMadhavan ParthasarathyDavid J. Smyth
- Journals
- The American Statistician (5 papers)Decision Sciences Journal of Innovative Education (4 papers)Economics Letters (3 papers)Journal of Statistical Computation and Simulation (2 papers)Future Internet (1 paper)
- Partner nations
- United States
In The Last Decade
Marlene A. Smith
32 papers receiving 276 citations
Peers
Comparison fields: 5 of 89
- Statistics and Probability 65
- Computer Science Applications 24
- Management of Technology and Innovation 26
- Education 97
- Communication 22
Countries citing papers authored by Marlene A. Smith
This map shows the geographic impact of Marlene A. 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 Marlene A. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marlene A. Smith more than expected).
Fields of papers citing papers by Marlene A. Smith
This network shows the impact of papers produced by Marlene A. 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 Marlene A. Smith. The network helps show where Marlene A. Smith may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Marlene A. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 5 | |
| 2 | 2017 | 17 | |
| 3 | 2017 | 5 | |
| 4 | 2013 | 15 | |
| 5 | 2012 | 12 | |
| 6 | 2012 | 2 | |
| 7 | 2011 | 2 | |
| 8 | 2010 | 1 | |
| 9 | Valuing the Institution: An Expanded List of Factors Influencing Faculty Adoption of Online Education | 2009 | 11 |
| 10 | 2009 | 52 | |
| 11 | 2009 | 4 | |
| 12 | 1998 | 26 | |
| 13 | 1998 | 15 | |
| 14 | 1998 | 3 | |
| 15 | 1993 | 11 | |
| 16 | 1990 | 5 | |
| 17 | 1990 | 1 | |
| 18 | 1988 | 3 | |
| 19 | 1986 | 3 | |
| 20 | 1984 | 13 |
About Marlene A. Smith
Marlene A. Smith is a scholar working on Statistics and Probability, Management of Technology and Innovation, Organizational Behavior and Human Resource Management, Computer Science Applications and General Economics, Econometrics and Finance, having authored 32 papers that have together received 306 indexed citations. Recurring topics across this work include Online and Blended Learning (6 papers), Management and Marketing Education (6 papers), Statistics Education and Methodologies (5 papers), Innovations in Educational Methods (4 papers), Statistical Methods and Inference (3 papers), Management and Organizational Studies (2 papers), Online Learning and Analytics (2 papers) and Economics of Agriculture and Food Markets (2 papers). The work is most often cited by research in Statistics and Probability (65 citations), Computer Science Applications (24 citations), Management of Technology and Innovation (26 citations), Education (97 citations) and Communication (22 citations). Marlene A. Smith has collaborated with scholars based in United States. Frequent co-authors include Deborah L. Kellogg, Herman Aguinis, William C. Parr, Murray J. Côté, E. Woodrow Eckard, G. S. Maddala, Madhavan Parthasarathy, David J. Smyth, Sarah Kovoor‐Misra and Elif Akçalı. Their work appears in journals such as The American Statistician, Decision Sciences Journal of Innovative Education, Economics Letters, Journal of Statistical Computation and Simulation and Future Internet.
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.