Mark V. Siegler
- Economics and Econometrics top 5%
- General Economics, Econometrics and Finance top 10%
- Sociology and Political Science
- Gender Studies
- Modeling and Simulation top 10%
- Co-authors
- Elizabeth BrainerdKevin D. HooverStephen J. PerezRobert GatterSusan C. KlockAudrey JaegerNanette Elster
- Topics
- Monetary Policy and Economic Impact (6 papers)Market Dynamics and Volatility (4 papers)Global Financial Crisis and Policies (3 papers)
- Cited by
- Modeling and SimulationGeneral Economics, Econometrics and FinanceEconomics and Econometrics
- Partner nations
- United StatesGermany
In The Last Decade
Mark V. Siegler
11 papers receiving 222 citations
Peers
Comparison fields: 5 of 60
- Economics and Econometrics 159
- General Economics, Econometrics and Finance 51
- Sociology and Political Science 46
- Gender Studies 36
- Modeling and Simulation 31
Countries citing papers authored by Mark V. Siegler
This map shows the geographic impact of Mark V. Siegler'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 Mark V. Siegler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark V. Siegler more than expected).
Fields of papers citing papers by Mark V. Siegler
This network shows the impact of papers produced by Mark V. Siegler. 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 Mark V. Siegler. The network helps show where Mark V. Siegler may publish in the future.
Co-authorship network of co-authors of Mark V. Siegler
This figure shows the co-authorship network connecting the top 25 collaborators of Mark V. Siegler. A scholar is included among the top collaborators of Mark V. Siegler 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 Mark V. Siegler. Mark V. Siegler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 44 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 44 | |
| 9 | The Economic Effects of the 1918 Influenza Epidemic | 89 |
| 10 | 19 | |
| 11 | ART into science: Regulation of fertility techniques | 20 |
| 12 | 1 |
About Mark V. Siegler
Mark V. Siegler is a scholar working on General Economics, Econometrics and Finance, History and Philosophy of Science and Finance, having authored 12 papers that have together received 257 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (6 papers), Market Dynamics and Volatility (4 papers) and Global Financial Crisis and Policies (3 papers). The work is most often cited by research in Modeling and Simulation (31 citations), General Economics, Econometrics and Finance (51 citations) and Economics and Econometrics (159 citations). Mark V. Siegler has collaborated with scholars based in United States and Germany. Frequent co-authors include Elizabeth Brainerd, Kevin D. Hoover, Stephen J. Perez, Robert Gatter, Susan C. Klock, Audrey Jaeger and Nanette Elster. Their work appears in journals such as Journal of money credit and banking, Applied Economics and The Journal of Economic History.
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.