Susan L. Albin
- Statistics, Probability and Uncertainty top 0.2%
- Statistics and Probability top 1%
- Management Science and Operations Research top 2%
- Industrial and Manufacturing Engineering top 2%
- Management Information Systems top 2%
- Co-authors
- David J. FriedmanFlávio S. FogliattoMichel J. AnzanelloW. Art ChaovalitwongseDi XuMyong K. JeongChi‐Hyuck JunDaisuke Ito
- Topics
- Advanced Statistical Process Monitoring (16 papers)Fault Detection and Control Systems (11 papers)Advanced Queuing Theory Analysis (8 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityManagement Information Systems
- Partner nations
- United StatesNetherlandsBrazil
In The Last Decade
Susan L. Albin
42 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 91
- Statistics, Probability and Uncertainty 736
- Statistics and Probability 397
- Management Science and Operations Research 284
- Industrial and Manufacturing Engineering 266
- Management Information Systems 261
Countries citing papers authored by Susan L. Albin
This map shows the geographic impact of Susan L. Albin'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 Susan L. Albin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan L. Albin more than expected).
Fields of papers citing papers by Susan L. Albin
This network shows the impact of papers produced by Susan L. Albin. 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 Susan L. Albin. The network helps show where Susan L. Albin may publish in the future.
Co-authorship network of co-authors of Susan L. Albin
This figure shows the co-authorship network connecting the top 25 collaborators of Susan L. Albin. A scholar is included among the top collaborators of Susan L. Albin 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 Susan L. Albin. Susan L. Albin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 4 | |
| 3 | 13 | |
| 4 | 14 | |
| 5 | 13 | |
| 6 | 28 | |
| 7 | 19 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 27 | |
| 11 | 27 | |
| 12 | 54 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | 41 | |
| 17 | 33 | |
| 18 | Statistical and computational issues in probability modeling | 1 |
| 19 | 1 | |
| 20 | 2 |
About Susan L. Albin
Susan L. Albin is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Statistics and Probability, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (16 papers), Fault Detection and Control Systems (11 papers) and Advanced Queuing Theory Analysis (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (736 citations), Statistics and Probability (397 citations) and Management Information Systems (261 citations). Susan L. Albin has collaborated with scholars based in United States, Netherlands and Brazil. Frequent co-authors include David J. Friedman, Flávio S. Fogliatto, Michel J. Anzanello, W. Art Chaovalitwongse, Di Xu, Myong K. Jeong, Di Xu, Chi‐Hyuck Jun, Daisuke Ito and John Mueller. Their work appears in journals such as Management Science, European Journal of Operational Research and Operations Research.
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.