Earl McKinney
- Social Psychology
- Management Information Systems top 10%
- Accounting
- Communication
- Strategy and Management
- Co-authors
- Kevin J. DavisJames R. BarkerKurt A. HeppardSteve GreenJerram L. BrownRachel ShafferJun WuDavid M. Kroenke
- Topics
- Complex Systems and Decision Making (6 papers)Big Data and Business Intelligence (5 papers)Information Systems Theories and Implementation (5 papers)
- Journals
- Mathematics of ComputationInformation & ManagementJournal of the Association for Information Systems
- Partner nations
- United StatesGermany
In The Last Decade
Earl McKinney
22 papers receiving 221 citations
Peers
Comparison fields: 5 of 79
- Social Psychology 77
- Management Information Systems 58
- Accounting 34
- Communication 33
- Strategy and Management 33
Countries citing papers authored by Earl McKinney
This map shows the geographic impact of Earl McKinney'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 Earl McKinney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Earl McKinney more than expected).
Fields of papers citing papers by Earl McKinney
This network shows the impact of papers produced by Earl McKinney. 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 Earl McKinney. The network helps show where Earl McKinney may publish in the future.
Co-authorship network of co-authors of Earl McKinney
This figure shows the co-authorship network connecting the top 25 collaborators of Earl McKinney. A scholar is included among the top collaborators of Earl McKinney 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 Earl McKinney. Earl McKinney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 20 | |
| 5 | Effective Student Crowdpolling: Key Decisions and a Learning Case | 1 |
| 6 | 56 | |
| 7 | Big Data Critical Thinking Skills for Analysts—Learning to Ask the Right Questions | 2 |
| 8 | 3 | |
| 9 | 1 | |
| 10 | SUPPORTING PRE-EXISTING TEAMS IN CRISIS WITH IT: A PRELIMINARY ORGANIZATIONAL-TEAM COLLABORATION FRAMEWORK | 6 |
| 11 | 43 | |
| 12 | The Role of Experience on Consumer E-Commerce | 1 |
| 13 | 35 | |
| 14 | 6 | |
| 15 | 6 | |
| 16 | It may be utilization, but is it management? | 6 |
| 17 | 1 | |
| 18 | Crew resource management: a simulator study comparing fixed versus formed aircrews. | 11 |
| 19 | 3 | |
| 20 | 1 |
About Earl McKinney
Earl McKinney is a scholar working on Management Information Systems, Radiological and Ultrasound Technology and Management Science and Operations Research, having authored 24 papers that have together received 248 indexed citations. Recurring topics across this work include Complex Systems and Decision Making (6 papers), Big Data and Business Intelligence (5 papers) and Information Systems Theories and Implementation (5 papers). The work is most often cited by research in Management Information Systems (58 citations), Communication (33 citations) and Social Psychology (77 citations). Earl McKinney has collaborated with scholars based in United States and Germany. Frequent co-authors include Kevin J. Davis, James R. Barker, Kurt A. Heppard, Steve Green, Jerram L. Brown, Rachel Shaffer, Jun Wu and David M. Kroenke. Their work appears in journals such as Mathematics of Computation, Information & Management and Journal of the Association for Information 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.