Edward F. Alf
- Statistics and Probability top 1%
- Statistics, Probability and Uncertainty top 1%
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Donald D. DorfmanNorman M. AbrahamsJohn M. GrossbergRobert RadlowJulia VormbrockWilliam A. SandsLeonard V. GordonG. Μenges
- Topics
- Advanced Statistical Methods and Models (9 papers)Neuroendocrine regulation and behavior (2 papers)Human-Animal Interaction Studies (2 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyHealth Information Management
- Journals
- Psychological BulletinJournal of the American Statistical AssociationJournal of Applied Psychology
- Partner nations
- United States
In The Last Decade
Edward F. Alf
36 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Statistics and Probability 287
- Statistics, Probability and Uncertainty 215
- Artificial Intelligence 195
- Cognitive Neuroscience 176
- Radiology, Nuclear Medicine and Imaging 153
Countries citing papers authored by Edward F. Alf
This map shows the geographic impact of Edward F. Alf'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 Edward F. Alf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward F. Alf more than expected).
Fields of papers citing papers by Edward F. Alf
This network shows the impact of papers produced by Edward F. Alf. 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 Edward F. Alf. The network helps show where Edward F. Alf may publish in the future.
Co-authorship network of co-authors of Edward F. Alf
This figure shows the co-authorship network connecting the top 25 collaborators of Edward F. Alf. A scholar is included among the top collaborators of Edward F. Alf 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 Edward F. Alf. Edward F. Alf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 3 | |
| 3 | 27 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 48 | |
| 10 | 18 | |
| 11 | 50 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 15 | |
| 16 | 9 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 7 |
About Edward F. Alf
Edward F. Alf is a scholar working on Statistics and Probability, Applied Psychology and Management Science and Operations Research, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (9 papers), Neuroendocrine regulation and behavior (2 papers) and Human-Animal Interaction Studies (2 papers). The work is most often cited by research in Statistics and Probability (287 citations), Statistics, Probability and Uncertainty (215 citations) and Health Information Management (74 citations). Edward F. Alf has collaborated with scholars based in United States. Frequent co-authors include Donald D. Dorfman, Norman M. Abrahams, John M. Grossberg, Robert Radlow, Julia Vormbrock, William A. Sands, Leonard V. Gordon, G. Μenges and William K. Graham. Their work appears in journals such as Psychological Bulletin, Journal of the American Statistical Association and Journal of Applied Psychology.
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.