Karl Borch
- Economics and Econometrics top 0.5%
- Management Science and Operations Research top 0.5%
- Demography top 0.5%
- Finance top 1%
- General Decision Sciences top 1%
- Co-authors
- Harvey E. LapanGeorges DionneHoward RaiffaJames TobinDonald D. HesterOliver E. WilliamsonHaim LevyMarshall Sarnat
- Topics
- Insurance and Financial Risk Management (35 papers)Insurance, Mortality, Demography, Risk Management (22 papers)Economic theories and models (15 papers)
- Journals
- The Journal of FinanceJournal of the American Statistical AssociationAmerican Economic Review
- Partner nations
- NorwayUnited StatesUnited Kingdom
In The Last Decade
Karl Borch
79 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Economics and Econometrics 1.6k
- Management Science and Operations Research 1.1k
- Demography 722
- Finance 678
- General Decision Sciences 306
Countries citing papers authored by Karl Borch
This map shows the geographic impact of Karl Borch'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 Karl Borch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Borch more than expected).
Fields of papers citing papers by Karl Borch
This network shows the impact of papers produced by Karl Borch. 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 Karl Borch. The network helps show where Karl Borch may publish in the future.
Co-authorship network of co-authors of Karl Borch
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Borch. A scholar is included among the top collaborators of Karl Borch 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 Karl Borch. Karl Borch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Rationale of the Mean-Standard Deviation Analysis: Comment | 4 |
| 2 | Is regulation and supervision of insurance companies necessary | 2 |
| 3 | Risk, information, and insurance : essays in the memory of Karl H. Borch | 11 |
| 4 | 15 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 131 | |
| 9 | The Mathematical Theory of Insurance: An Annotated Selection of Papers on Insurance Published 1960-1972 | 23 |
| 10 | 98 | |
| 11 | 0 | |
| 12 | 8 | |
| 13 | 45 | |
| 14 | 13 | |
| 15 | 8 | |
| 16 | 26 | |
| 17 | 10 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 3 |
About Karl Borch
Karl Borch is a scholar working on General Decision Sciences, Demography and Economics and Econometrics, having authored 86 papers that have together received 2.4k indexed citations. Recurring topics across this work include Insurance and Financial Risk Management (35 papers), Insurance, Mortality, Demography, Risk Management (22 papers) and Economic theories and models (15 papers). The work is most often cited by research in General Decision Sciences (306 citations), Management Science and Operations Research (1.1k citations) and Finance (678 citations). Karl Borch has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include Harvey E. Lapan, Georges Dionne, Howard Raiffa, James Tobin, Donald D. Hester, Oliver E. Williamson, Haim Levy, Marshall Sarnat, Henri Loubergé and Jan Mossin. Their work appears in journals such as The Journal of Finance, Journal of the American Statistical Association and American Economic Review.
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.