Megan Sapp Nelson
- Information Systems top 5%
- Sociology and Political Science top 10%
- Management Science and Operations Research top 5%
- Information Systems and Management top 5%
- Library and Information Sciences top 1%
- Co-authors
- Jake CarlsonMichael FosmireArif Mohaimin SadriJustin SeipelDaniel KellySeungyoon LeeRosalee A. ClawsonDaniel P. Aldrich
- Topics
- Research Data Management Practices (16 papers)Data Quality and Management (13 papers)Scientific Computing and Data Management (9 papers)
- Partner nations
- United StatesAustralia
In The Last Decade
Megan Sapp Nelson
35 papers receiving 505 citations
Peers
Comparison fields: 5 of 96
- Information Systems 211
- Sociology and Political Science 183
- Management Science and Operations Research 123
- Information Systems and Management 119
- Library and Information Sciences 62
Countries citing papers authored by Megan Sapp Nelson
This map shows the geographic impact of Megan Sapp Nelson'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 Megan Sapp Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan Sapp Nelson more than expected).
Fields of papers citing papers by Megan Sapp Nelson
This network shows the impact of papers produced by Megan Sapp Nelson. 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 Megan Sapp Nelson. The network helps show where Megan Sapp Nelson may publish in the future.
Co-authorship network of co-authors of Megan Sapp Nelson
This figure shows the co-authorship network connecting the top 25 collaborators of Megan Sapp Nelson. A scholar is included among the top collaborators of Megan Sapp Nelson 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 Megan Sapp Nelson. Megan Sapp Nelson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | Adding Data Literacy Skills to Your Toolkit | 0 |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 12 | |
| 14 | Does USMLE Step 1 & 2 Scores Predict Success On ITE and ABEM Qualifying Exam - A Review of an Emergency Medicine Residency Program from its Inception. | 1 |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 29 | |
| 19 | 9 | |
| 20 | 21 |
About Megan Sapp Nelson
Megan Sapp Nelson is a scholar working on Library and Information Sciences, Information Systems and Management and Management Science and Operations Research, having authored 43 papers that have together received 558 indexed citations. Recurring topics across this work include Research Data Management Practices (16 papers), Data Quality and Management (13 papers) and Scientific Computing and Data Management (9 papers). The work is most often cited by research in Library and Information Sciences (62 citations), Information Systems and Management (119 citations) and Conservation (38 citations). Megan Sapp Nelson has collaborated with scholars based in United States and Australia. Frequent co-authors include Jake Carlson, Michael Fosmire, Arif Mohaimin Sadri, Justin Seipel, Daniel Kelly, Seungyoon Lee, Rosalee A. Clawson, Daniel P. Aldrich, Satish V. Ukkusuri and Lisa Johnston. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Surgery.
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.