Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
THE BIOLOGICAL SIGNIFICANCE OF THE TERRITORIES OF BIRDS.
This map shows the geographic impact of Andrew Hinde'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 Andrew Hinde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Hinde more than expected).
This network shows the impact of papers produced by Andrew Hinde. 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 Andrew Hinde. The network helps show where Andrew Hinde may publish in the future.
Co-authorship network of co-authors of Andrew Hinde
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Hinde.
A scholar is included among the top collaborators of Andrew Hinde 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 Andrew Hinde. Andrew Hinde is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nasir, Jamal Abdul, Andrew Hinde, & Sabu S. Padmadas. (2015). What can proximate determinants of fertility tells us about the fertility transition of Pakistan. Econstor (Econstor). 9(3). 799–817.2 indexed citations
7.
Staetsky, Laura & Andrew Hinde. (2014). JEWISH MORTALITY RECONSIDERED. Journal of Biosocial Science. 47(3). 376–401.2 indexed citations
Hinde, Andrew. (2010). A review of methods for identifying mortality 'crises' using parish record data.. PubMed. 82–92.
11.
Mturi, Akim J. & Andrew Hinde. (2007). Fertility levels and differentials in the United Republic of Tanzania. ePrints Soton (University of Southampton).2 indexed citations
12.
Hinde, Andrew. (2007). Calculating crude birth and death rates for local populations during the 'parish register era'. ePrints Soton (University of Southampton).
13.
Baschieri, Angela & Andrew Hinde. (2007). The proximate determinants of fertility and birth intervals in Egypt: An application of calendar data. SHILAP Revista de lepidopterología.2 indexed citations
Goose, Nigel & Andrew Hinde. (2006). Estimating local population sizes at fixed points in time. Part I: general principles. University of Hertfordshire Research Archive (University of Hertfordshire).2 indexed citations
Hinde, Andrew & F. Turnbull. (2000). The populations of two Hampshire workhouses, 1851-1861. ePrints Soton (University of Southampton).4 indexed citations
19.
Hinde, Andrew, et al.. (1996). Age at baptism in rural Hampshire in the second half of the nineteenth century.. PubMed. 72–5.1 indexed citations
20.
Hinde, Andrew, et al.. (1991). IUD and pill use dynamics in Tunisia and Morocco. ePrints Soton (University of Southampton).3 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.