Per Block
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Evolutionary Game Theory and Cooperation 5
- Social Capital and Networks 4
-
- Complex Network Analysis Techniques 10
- Opinion Dynamics and Social Influence 8
- Co-authors
- Christoph Stadtfeld (9 shared papers)David M. Brazel (1 shared paper)Valentina Rotondi (1 shared paper)Jennifer B. Dowd (1 shared paper)Xuejie Ding (1 shared paper)Liliana Andriano (1 shared paper)Melinda Mills (1 shared paper)Thomas Grund (1 shared paper)
- Journals
- Social Networks (5 papers)Network Science (3 papers)Sociological Methodology (3 papers)Sociological Science (2 papers)Scientific Reports (2 papers)
- Partner nations
- SwitzerlandUnited KingdomNetherlands
In The Last Decade
Per Block
23 papers receiving 1.4k citations
Per Block's Hit Papers
Peers
Comparison fields: 5 of 127
- Modeling and Simulation 304
- Statistical and Nonlinear Physics 274
- Health 112
- Communication 83
- Sociology and Political Science 403
Countries citing papers authored by Per Block
This map shows the geographic impact of Per Block'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 Per Block with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Per Block more than expected).
Fields of papers citing papers by Per Block
This network shows the impact of papers produced by Per Block. 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 Per Block. The network helps show where Per Block may publish in the future.
Co-authors
The 25 scholars most cited alongside Per Block, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Demographic science aids in understanding the spread and fatality rates of COVID-19 Hit paper breakdown → | 2020 | 595 |
| 2 | 2014 | 165 | |
| 3 | 2016 | 136 | |
| 4 | 2014 | 126 | |
| 5 | 2016 | 76 | |
| 6 | 2017 | 71 | |
| 7 | 2017 | 63 | |
| 8 | 2017 | 63 | |
| 9 | 2015 | 45 | |
| 10 | 2018 | 22 | |
| 11 | 2020 | 16 | |
| 12 | 2017 | 16 | |
| 13 | 2019 | 13 | |
| 14 | 2018 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2017 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2021 | 5 |
About Per Block
Per Block is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics, Experimental and Cognitive Psychology, Social Psychology and General Health Professions, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (8 papers), Mental Health Research Topics (5 papers), Evolutionary Game Theory and Cooperation (5 papers), Social Capital and Networks (4 papers), Neuroendocrine regulation and behavior (3 papers), Health disparities and outcomes (2 papers) and Community Health and Development (2 papers). The work is most often cited by research in Modeling and Simulation (304 citations), Statistical and Nonlinear Physics (274 citations), Health (112 citations), Communication (83 citations) and Sociology and Political Science (403 citations). Per Block has collaborated with scholars based in Switzerland, United Kingdom and Netherlands. Frequent co-authors include Christoph Stadtfeld, David M. Brazel, Valentina Rotondi, Jennifer B. Dowd, Xuejie Ding, Liliana Andriano, Melinda Mills, Thomas Grund, Patrícia C. Lopes and Barbara König. Their work appears in journals such as Social Networks, Network Science, Sociological Methodology, Sociological Science and Scientific Reports.
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.