Paula L. Rechner
- Accounting top 0.5%
- Strategy and Management top 1%
- Organizational Behavior and Human Resource Management top 1%
- Sociology and Political Science top 5%
- Social Psychology top 5%
- Co-authors
- Dan R. DaltonChamu SundaramurthyDavid M. SchweigerWilliam SandbergDawna L. RhoadesJulie B. Olson‐BuchananYvette P. LopezRam Charan
- Topics
- Corporate Finance and Governance (12 papers)Auditing, Earnings Management, Governance (5 papers)Financial Reporting and Valuation Research (4 papers)
- Partner nations
- United States
In The Last Decade
Paula L. Rechner
27 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Accounting 1.5k
- Strategy and Management 734
- Organizational Behavior and Human Resource Management 563
- Sociology and Political Science 244
- Social Psychology 230
Countries citing papers authored by Paula L. Rechner
This map shows the geographic impact of Paula L. Rechner'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 Paula L. Rechner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula L. Rechner more than expected).
Fields of papers citing papers by Paula L. Rechner
This network shows the impact of papers produced by Paula L. Rechner. 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 Paula L. Rechner. The network helps show where Paula L. Rechner may publish in the future.
Co-authorship network of co-authors of Paula L. Rechner
This figure shows the co-authorship network connecting the top 25 collaborators of Paula L. Rechner. A scholar is included among the top collaborators of Paula L. Rechner 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 Paula L. Rechner. Paula L. Rechner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 4 | |
| 3 | 32 | |
| 4 | 94 | |
| 5 | Board Composition and Financial Performance: A Meta-Analysis of the Influence of outside Directors | 175 |
| 6 | 6 | |
| 7 | 54 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 29 | |
| 11 | 11 | |
| 12 | 34 | |
| 13 | RESEARCH NOTES AND COMMUNICATIONS CEO DUALITY AND ORGANIZATIONAL PERFORMANCE: A LONGITUDINAL ANALYSIS | 7 |
| 14 | CEO duality and organizational performance: A longitudinal analysisbreakdown → | 941 |
| 15 | 23 | |
| 16 | 19 | |
| 17 | 12 | |
| 18 | 351 | |
| 19 | 155 | |
| 20 | 24 |
About Paula L. Rechner
Paula L. Rechner is a scholar working on Accounting, Strategy and Management and Organizational Behavior and Human Resource Management, having authored 27 papers that have together received 2.3k indexed citations. Recurring topics across this work include Corporate Finance and Governance (12 papers), Auditing, Earnings Management, Governance (5 papers) and Financial Reporting and Valuation Research (4 papers). The work is most often cited by research in Accounting (1.5k citations), Organizational Behavior and Human Resource Management (563 citations) and Strategy and Management (734 citations). Paula L. Rechner has collaborated with scholars based in United States. Frequent co-authors include Dan R. Dalton, Chamu Sundaramurthy, David M. Schweiger, William Sandberg, Dawna L. Rhoades, Julie B. Olson‐Buchanan, Yvette P. Lopez, Ram Charan, Janet P. Near and Richard A. Cosier. Their work appears in journals such as Academy of Management Review, Academy of Management Journal and Strategic Management Journal.
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.