Kevin Schürer
- Genetics
- Sociology and Political Science
- Economics and Econometrics top 10%
- Molecular Biology
- Archeology top 5%
- Co-authors
- Turi KingAlice ReidEilidh GarrettMark A. JoblingSimon SzreterHannaliis JaadlaJoseph DayPeter Forster
- Topics
- Data Analysis and Archiving (7 papers)Census and Population Estimation (5 papers)Historical Economic and Social Studies (4 papers)
- Cited by
- ArcheologyGeneticsHealth
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaCurrent Biology
- Partner nations
- United KingdomUnited StatesEstonia
In The Last Decade
Kevin Schürer
20 papers receiving 383 citations
Peers
Comparison fields: 5 of 88
- Genetics 151
- Sociology and Political Science 108
- Economics and Econometrics 103
- Molecular Biology 62
- Archeology 59
Countries citing papers authored by Kevin Schürer
This map shows the geographic impact of Kevin Schürer'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 Kevin Schürer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Schürer more than expected).
Fields of papers citing papers by Kevin Schürer
This network shows the impact of papers produced by Kevin Schürer. 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 Kevin Schürer. The network helps show where Kevin Schürer may publish in the future.
Co-authorship network of co-authors of Kevin Schürer
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Schürer. A scholar is included among the top collaborators of Kevin Schürer 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 Kevin Schürer. Kevin Schürer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 10 | |
| 4 | 12 | |
| 5 | 12 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 124 | |
| 9 | 3 | |
| 10 | The Integrated Census Microdata (I-CeM) Guide | 18 |
| 11 | 5 | |
| 12 | 81 | |
| 13 | THE SELECTION, APPRAISAL, AND RETENTION OF DIGITAL SOCIAL SCIENCE DATA | 3 |
| 14 | 16 | |
| 15 | 2 | |
| 16 | 57 | |
| 17 | Local communities in the Victorian census enumerators' books | 28 |
| 18 | Surveying the people: the interpretation and use of document sources for the study of population in the later seventeenth century. | 15 |
| 19 | The 1891 census and local population studies. | 4 |
| 20 | 1 |
About Kevin Schürer
Kevin Schürer is a scholar working on Statistics and Probability, Demography and Management Science and Operations Research, having authored 20 papers that have together received 419 indexed citations. Recurring topics across this work include Data Analysis and Archiving (7 papers), Census and Population Estimation (5 papers) and Historical Economic and Social Studies (4 papers). The work is most often cited by research in Archeology (59 citations), Genetics (151 citations) and Health (39 citations). Kevin Schürer has collaborated with scholars based in United Kingdom, United States and Estonia. Frequent co-authors include Turi King, Alice Reid, Eilidh Garrett, Mark A. Jobling, Simon Szreter, Hannaliis Jaadla, Joseph Day, Peter Forster, David Ekserdjian and Michael Knapp. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Current Biology.
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.