Ádám Szeidl
- Economics and Econometrics top 0.5%
- General Economics, Econometrics and Finance top 1%
- Strategy and Management top 2%
- Accounting top 2%
- Finance top 2%
- Co-authors
- Raj ChettyMiklós KorenLászló HalpernBotond KőszegiMarkus MöbiusGene M. GrossmanElhanan HelpmanDaniel Hojman
- Topics
- Economic theories and models (10 papers)Game Theory and Applications (6 papers)Financial Literacy, Pension, Retirement Analysis (6 papers)
- Cited by
- General Decision SciencesGeneral Economics, Econometrics and FinanceEconomics and Econometrics
- Partner nations
- United StatesAustriaUnited Kingdom
In The Last Decade
Ádám Szeidl
29 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Economics and Econometrics 1.4k
- General Economics, Econometrics and Finance 816
- Strategy and Management 619
- Accounting 489
- Finance 302
Countries citing papers authored by Ádám Szeidl
This map shows the geographic impact of Ádám Szeidl'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 Ádám Szeidl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ádám Szeidl more than expected).
Fields of papers citing papers by Ádám Szeidl
This network shows the impact of papers produced by Ádám Szeidl. 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 Ádám Szeidl. The network helps show where Ádám Szeidl may publish in the future.
Co-authorship network of co-authors of Ádám Szeidl
This figure shows the co-authorship network connecting the top 25 collaborators of Ádám Szeidl. A scholar is included among the top collaborators of Ádám Szeidl 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 Ádám Szeidl. Ádám Szeidl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 124 | |
| 5 | 59 | |
| 6 | Imported Inputs and Productivitybreakdown → | 472 |
| 7 | The benefit of sequentiality in social networks | 1 |
| 8 | Stable Invariant Distribution in Buer-Stock Saving and Stochastic Growth Models | 3 |
| 9 | 266 | |
| 10 | 306 | |
| 11 | 31 | |
| 12 | 15 | |
| 13 | IMPORTS AND PRODUCTIVITY | 64 |
| 14 | Consumption Commitments: Neoclassical Foundations for Habit Formation | 35 |
| 15 | 3 | |
| 16 | 218 | |
| 17 | 16 | |
| 18 | 33 | |
| 19 | Portfolio Choice with Illiquid Assets | 1 |
| 20 | Pricing Illiquid Assets | 1 |
About Ádám Szeidl
Ádám Szeidl is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Management Science and Operations Research, having authored 30 papers that have together received 2.3k indexed citations. Recurring topics across this work include Economic theories and models (10 papers), Game Theory and Applications (6 papers) and Financial Literacy, Pension, Retirement Analysis (6 papers). The work is most often cited by research in General Decision Sciences (184 citations), General Economics, Econometrics and Finance (816 citations) and Economics and Econometrics (1.4k citations). Ádám Szeidl has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Raj Chetty, Miklós Koren, László Halpern, Botond Kőszegi, Markus Möbius, Gene M. Grossman, Elhanan Helpman, Daniel Hojman, Tanya Rosenblat and Dean Karlan. Their work appears in journals such as American Economic Review, The Quarterly Journal of Economics and Econometrica.
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.