Lukas Schlögl
Impact in
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- COVID-19 epidemiological studies
Papers in
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- Digital Economy and Work Transformation 2
- Political Economy and Marxism 1
- Income, Poverty, and Inequality 1
- Co-authors
- Andy Sumner (3 shared papers)Barbara Prainsack (4 shared papers)Alex Cobham (1 shared paper)Carolina Plescia (2 shared papers)Hajo G. Boomgaarden (2 shared papers)Julia Partheymüller (1 shared paper)Jakob‐Moritz Eberl (2 shared papers)Sylvia Kritzinger (2 shared papers)
- Journals
- New Technology Work and Employment (1 paper)European Political Science (1 paper)Third World Quarterly (1 paper)Global Policy (1 paper)BioSocieties (1 paper)
- Partner nations
- AustriaUnited KingdomFinland
In The Last Decade
Lukas Schlögl
9 papers receiving 209 citations
Peers
Comparison fields: 5 of 73
- Business and International Management 7
- Modeling and Simulation 11
- Economics and Econometrics 61
- Sociology and Political Science 93
- General Economics, Econometrics and Finance 16
Countries citing papers authored by Lukas Schlögl
This map shows the geographic impact of Lukas Schlögl'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 Lukas Schlögl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Schlögl more than expected).
Fields of papers citing papers by Lukas Schlögl
This network shows the impact of papers produced by Lukas Schlögl. 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 Lukas Schlögl. The network helps show where Lukas Schlögl may publish in the future.
Co-authors
The 13 scholars most cited alongside Lukas Schlögl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 62 | |
| 2 | 2016 | 48 | |
| 3 | 2021 | 36 | |
| 4 | 2018 | 28 | |
| 5 | 2020 | 20 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2020 | 3 | |
| 10 | 2011 | 0 |
About Lukas Schlögl
Lukas Schlögl is a scholar working on Sociology and Political Science, Economics and Econometrics, Political Science and International Relations, General Economics, Econometrics and Finance and General Health Professions, having authored 10 papers that have together received 214 indexed citations. Recurring topics across this work include Social Policy and Reform Studies (3 papers), Economic Theory and Policy (3 papers), Employment and Welfare Studies (2 papers), Digital Economy and Work Transformation (2 papers), Asian Industrial and Economic Development (1 paper), COVID-19 epidemiological studies (1 paper), Political Economy and Marxism (1 paper) and Income, Poverty, and Inequality (1 paper). The work is most often cited by research in Business and International Management (7 citations), Modeling and Simulation (11 citations), Economics and Econometrics (61 citations), Sociology and Political Science (93 citations) and General Economics, Econometrics and Finance (16 citations). Lukas Schlögl has collaborated with scholars based in Austria, United Kingdom and Finland. Frequent co-authors include Andy Sumner, Barbara Prainsack, Alex Cobham, Carolina Plescia, Hajo G. Boomgaarden, Julia Partheymüller, Jakob‐Moritz Eberl, Sylvia Kritzinger, Bernhard Kittel and Katharina T. Paul. Their work appears in journals such as New Technology Work and Employment, European Political Science, Third World Quarterly, Global Policy and BioSocieties.
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.