Jeffrey A. Kramer
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Molecular Biology
- Information Systems top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Jeff MageeNaranker DulayShing-Chi CheungJohn R. McCarreyDaniel DjakiewStephen A. KrawetzRexford E. SanterreCameron Baston
- Topics
- Anesthesia and Pain Management (6 papers)Sleep and related disorders (3 papers)Petri Nets in System Modeling (3 papers)
- Journals
- JAMASHILAP Revista de lepidopterologíaDevelopment
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Jeffrey A. Kramer
25 papers receiving 373 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 102
- Computer Networks and Communications 89
- Molecular Biology 75
- Information Systems 67
- Computational Theory and Mathematics 63
Countries citing papers authored by Jeffrey A. Kramer
This map shows the geographic impact of Jeffrey A. Kramer'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 Jeffrey A. Kramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey A. Kramer more than expected).
Fields of papers citing papers by Jeffrey A. Kramer
This network shows the impact of papers produced by Jeffrey A. Kramer. 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 Jeffrey A. Kramer. The network helps show where Jeffrey A. Kramer may publish in the future.
Co-authorship network of co-authors of Jeffrey A. Kramer
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey A. Kramer. A scholar is included among the top collaborators of Jeffrey A. Kramer 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 Jeffrey A. Kramer. Jeffrey A. Kramer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 29 | |
| 13 | 17 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 30 | |
| 17 | 23 | |
| 18 | 32 | |
| 19 | 11 | |
| 20 | 19 |
About Jeffrey A. Kramer
Jeffrey A. Kramer is a scholar working on Anesthesiology and Pain Medicine, Software and Computational Theory and Mathematics, having authored 30 papers that have together received 404 indexed citations. Recurring topics across this work include Anesthesia and Pain Management (6 papers), Sleep and related disorders (3 papers) and Petri Nets in System Modeling (3 papers). The work is most often cited by research in Software (49 citations), Hardware and Architecture (33 citations) and Computational Theory and Mathematics (63 citations). Jeffrey A. Kramer has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Jeff Magee, Naranker Dulay, Shing-Chi Cheung, John R. McCarrey, Daniel Djakiew, Stephen A. Krawetz, Rexford E. Santerre, Cameron Baston, William Dunham and Max O. Funk. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and Development.
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.