Thomas W. Sager

1.5k citations
42 papers · 1.1k indexed · h-index 17
Topics
Insurance and Financial Risk Management (15 papers)Insurance, Mortality, Demography, Risk Management (9 papers)Banking stability, regulation, efficiency (9 papers)

In The Last Decade

Thomas W. Sager

42 papers receiving 1.0k citations

Peers

Thomas W. Sager
Comparison fields: 5 of 117
  • Statistics and Probability 384
  • Economics and Econometrics 230
  • Statistics, Probability and Uncertainty 204
  • Artificial Intelligence 169
  • Computer Networks and Communications 150
Replace Yuan Liao with:
Yuan Liao United States
D. F. Nicholls Australia
Kilani Ghoudi United Arab Emirates
Alan T. K. Wan Hong Kong
Benedikt M. Pötscher Austria
T. W. Epps United States
Antonio Punzo Italy
Umberto Cherubini Italy
Peter A. Frost United States
Taizhong Hu China
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Citations per field
00.5×5.7×
Yuan Liao · 1×
Citations per year

Countries citing papers authored by Thomas W. Sager

Since Specialization
Citations

This map shows the geographic impact of Thomas W. Sager'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 Thomas W. Sager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas W. Sager more than expected).

Fields of papers citing papers by Thomas W. Sager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas W. Sager. 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 Thomas W. Sager. The network helps show where Thomas W. Sager may publish in the future.

Co-authorship network of co-authors of Thomas W. Sager

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas W. Sager. A scholar is included among the top collaborators of Thomas W. Sager 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 Thomas W. Sager. Thomas W. Sager is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 8
3 2
4 6
5 1
6 1
7
What US Health Insurers’ Data Show for ACA “Repealers”
1
8 6
9 14
10 40
11
Valuable Patents Redux: On the Enduring Merit of Using Patent Characteristics to Identify Valuable Patents
3
12 6
13 6
14 32
15 5
16 49
17 6
18 10
19 29
20 20

About Thomas W. Sager

Thomas W. Sager is a scholar working on Finance, Statistics and Probability and Demography, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Insurance and Financial Risk Management (15 papers), Insurance, Mortality, Demography, Risk Management (9 papers) and Banking stability, regulation, efficiency (9 papers). The work is most often cited by research in Statistics and Probability (384 citations), Statistics, Probability and Uncertainty (204 citations) and Finance (139 citations). Thomas W. Sager has collaborated with scholars based in United States, Greece and United Kingdom. Frequent co-authors include S. Lynne Stokes, Michael V. Mannino, Eric V. Anslyn, John T. McDevitt, Nicola Edwards, Thomas S. Shively, Stephen G. Walker, Ronald A. Thisted, Ronald J. Mann and Robert C. Witt. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

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.

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