Michael Schatz

442 total citations
13 papers, 314 citations indexed

About

Michael Schatz is a scholar working on Economics and Econometrics, Infectious Diseases and Finance. According to data from OpenAlex, Michael Schatz has authored 13 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Economics and Econometrics, 3 papers in Infectious Diseases and 3 papers in Finance. Recurrent topics in Michael Schatz's work include Economic theories and models (3 papers), Lanthanide and Transition Metal Complexes (2 papers) and COVID-19 epidemiological studies (2 papers). Michael Schatz is often cited by papers focused on Economic theories and models (3 papers), Lanthanide and Transition Metal Complexes (2 papers) and COVID-19 epidemiological studies (2 papers). Michael Schatz collaborates with scholars based in Switzerland, China and United States. Michael Schatz's co-authors include Roy Patterson, Didier Sornette, Donald D. Stevenson, Johannes Ring, Carlos Arroyave, Ronald A. Simon, Edward F. Plow, Didier Darcet, Ke Wu and Katherine A. Ahrens and has published in prestigious journals such as Annals of Internal Medicine, Journal of Allergy and Clinical Immunology and Vaccine.

In The Last Decade

Michael Schatz

13 papers receiving 274 citations

Peers

Michael Schatz

EPIDE

SURGE

ID

RHEUM

PRM

Iñaki Pérez Spain

Vartan Pahalyants United States

Caro Noake United Kingdom

John L. Peters United Kingdom

P.J. Moorhead United Kingdom

Ülker Koçak Türkiye

Jérémie Jegu France

Kartik Shenoy United States

Enric Grau Spain

Lewis Reisman United States

Iñaki Pérez Spain

Michael Schatz

208 ×2.8

EPIDE

36 ×0.7

SURGE

218 ×4.6

ID

110 ×2.8

RHEUM

27 ×0.8

PRM

Citations per year, relative to Michael Schatz Michael Schatz (= 1×) peers Iñaki Pérez

Countries citing papers authored by Michael Schatz

Since Specialization

Citations

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

Fields of papers citing papers by Michael Schatz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Schatz. 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 Michael Schatz. The network helps show where Michael Schatz may publish in the future.

Co-authorship network of co-authors of Michael Schatz

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

All Works

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13 of 13 papers shown

1.

Schatz, Michael, Spencer Wheatley, & Didier Sornette. (2021). The ARMA Point Process and its Estimation. Econometrics and Statistics. 24. 164–182. 3 indexed citations

2.

Sornette, Didier, et al.. (2020). Interpreting, analysing and modelling COVID-19 mortality data. Nonlinear Dynamics. 101(3). 1751–1776. 34 indexed citations

3.

Sornette, Didier, et al.. (2020). Interpreting, analysing and modelling COVID-19 mortality data. SSRN Electronic Journal. 1 indexed citations

4.

Schatz, Michael & Didier Sornette. (2020). INEFFICIENT BUBBLES AND EFFICIENT DRAWDOWNS IN FINANCIAL MARKETS. International Journal of Theoretical and Applied Finance. 23(7). 2050047–2050047. 7 indexed citations

5.

Schatz, Michael & Didier Sornette. (2019). A Nonuniformly Integrable Martingale Bubble with a Crash. SIAM Journal on Financial Mathematics. 10(2). 615–631. 1 indexed citations

6.

Schatz, Michael & Didier Sornette. (2018). Inefficient Bubbles and Efficient Drawdowns in Financial Markets. SSRN Electronic Journal. 2 indexed citations

7.

Louik, Carol, Katherine A. Ahrens, Stephen J. Kerr, et al.. (2013). Risks and safety of pandemic H1N1 influenza vaccine in pregnancy: Exposure prevalence, preterm delivery, and specific birth defects. Vaccine. 31(44). 5033–5040. 42 indexed citations

8.

Simon, Ronald A., Michael Schatz, Donald D. Stevenson, et al.. (1979). Radiographic contrast media infusions. Journal of Allergy and Clinical Immunology. 63(4). 281–288. 78 indexed citations

9.

Simon, R. A., Michael Schatz, Donald D. Stevenson, et al.. (1978). 56. Radiographic contrast media (RCM) infusions: Measurement of mediators and correlation with clinical parameters. Journal of Allergy and Clinical Immunology. 61(3). 145–145. 12 indexed citations

10.

Schatz, Michael, et al.. (1976). The Prevalence of Tuberculosis and Positive Tuberculin Skin Tests in a Steroid-Treated Asthmatic Population. Annals of Internal Medicine. 84(3). 261–265. 72 indexed citations

11.

Patterson, Roy & Michael Schatz. (1975). Administration of radiographic contrast medium. Journal of Allergy and Clinical Immunology. 56(4). 328–328. 7 indexed citations

12.

Schatz, Michael, et al.. (1975). The administration of radiographic contrast media to patients with a history of a previous reaction. Journal of Allergy and Clinical Immunology. 55(5). 358–366. 51 indexed citations

13.

Patterson, Roy & Michael Schatz. (1975). Administration of Radiographic Contrast Medium After a Prior Adverse Reaction. Annals of Internal Medicine. 83(2). 277–277. 4 indexed citations

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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