John B. Washbush
About
In The Last Decade
John B. Washbush
29 papers receiving 460 citations
Peers
Comparison fields: 5 of 87
- Education 227
- Developmental and Educational Psychology 188
- Organizational Behavior and Human Resource Management 101
- Management of Technology and Innovation 95
- Sociology and Political Science 88
Countries citing papers authored by John B. Washbush
This map shows the geographic impact of John B. Washbush'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 John B. Washbush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John B. Washbush more than expected).
Fields of papers citing papers by John B. Washbush
This network shows the impact of papers produced by John B. Washbush. 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 John B. Washbush. The network helps show where John B. Washbush may publish in the future.
Co-authorship network of co-authors of John B. Washbush
This figure shows the co-authorship network connecting the top 25 collaborators of John B. Washbush. A scholar is included among the top collaborators of John B. Washbush 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 John B. Washbush. John B. Washbush is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Simplifying and Enhancing Financial Analysis in Cases and Simulations | 0 |
| 2 | ANALYZING AND THINKING WHILE PLAYING A SIMULATION | 1 |
| 3 | The Relationship between Learning and Performance in a Total Enterprise Simulation: Revisited and New Data | 1 |
| 4 | Simulation Performance and Forecast Accuracy -- Is That All? | 1 |
| 5 | What Simulation Users Think Players Should be learning from Simulations | 2 |
| 6 | Simulation Performance and Learning Revisited | 4 |
| 7 | The Validity Investigation of a Test Assessing Total Enterprise Simulation Learning | 3 |
| 8 | Initial Data on a Test Bank Assessing Total Enterprise Simulation Learning | 2 |
| 9 | Total Enterprise Simulation Learning Compared To Traditional Learning in the Business Policy Course | 1 |
| 10 | Perceptions of Learning in TE Simulations | 15 |
| 11 | A Testbank for Measuring Total Enterprise Simulation Learning | 6 |
| 12 | Antecedents of Learning in Simulations | 5 |
| 13 | Correlates of Learning in Simulations | 6 |
| 14 | Simulation Performance, Learning and Struggle | 3 |
| 15 | The Relationship between Total Enterprise Simulation Performance and Learning | 4 |
| 16 | Comparing the Simulation with the Case Approach: Again! But This Time Using Criteria Appropriate for the Simulation | 6 |
| 17 | The Influence of Myers-Briggs Type and Group Dynamics Factors on Total Enterprise Performance | 3 |
| 18 | Personality Characteristics and Group Performance In Total Enterprise Simulations | 4 |
| 19 | Predicting Simulation Performance: Differences Between Groups and Individuals | 13 |
| 20 | STudent Attitudes about Policy Course Simulations | 9 |
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.