E. Marian Scott

2.2k total citations · 1 hit paper
48 papers, 1.6k citations indexed

About

E. Marian Scott is a scholar working on Global and Planetary Change, Environmental Engineering and Economics and Econometrics. According to data from OpenAlex, E. Marian Scott has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 11 papers in Environmental Engineering and 11 papers in Economics and Econometrics. Recurrent topics in E. Marian Scott's work include Soil and Water Nutrient Dynamics (8 papers), Spatial and Panel Data Analysis (8 papers) and Soil Geostatistics and Mapping (8 papers). E. Marian Scott is often cited by papers focused on Soil and Water Nutrient Dynamics (8 papers), Spatial and Panel Data Analysis (8 papers) and Soil Geostatistics and Mapping (8 papers). E. Marian Scott collaborates with scholars based in United Kingdom, Italy and United States. E. Marian Scott's co-authors include Jan Dick, R. I. Smith, S. T. Buckland, David A. Elston, Anne E. Magurran, Allan Watt, Stephen R. Baillie, Paul J. Somerfield, Adrian Bowman and Laurence Carvalho and has published in prestigious journals such as Trends in Ecology & Evolution, The Science of The Total Environment and Journal of Animal Ecology.

In The Last Decade

E. Marian Scott

48 papers receiving 1.6k citations

Hit Papers

Long-term datasets in biodiversity research and monitorin... 2010 2026 2015 2020 2010 200 400 600
What are hit papers?

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.

  1. Long-term datasets in biodiversity research and monitoring: assessing change in ecological communities through time
    2010 680 citations Anne E. Magurran, Stephen R. Baillie et al. profile →

Peers

E. Marian Scott
Masahiro Ryo Germany
Melissa A. Kenney United States
M. Craig Barber United States
Qing Zhang China
Ryan A. Hill United States
Timo Kumpula Finland
Susan M. Cormier United States
Xuefeng Cui China
S. Jannicke Moe Norway
Kalev Sepp Estonia
Masahiro Ryo Germany
E. Marian Scott
Citations per year, relative to E. Marian Scott E. Marian Scott (= 1×) peers Masahiro Ryo

Countries citing papers authored by E. Marian Scott

Since Specialization
Citations

This map shows the geographic impact of E. Marian Scott'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 E. Marian Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Marian Scott more than expected).

Fields of papers citing papers by E. Marian Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Marian Scott. 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 E. Marian Scott. The network helps show where E. Marian Scott may publish in the future.

Co-authorship network of co-authors of E. Marian Scott

This figure shows the co-authorship network connecting the top 25 collaborators of E. Marian Scott. A scholar is included among the top collaborators of E. Marian Scott 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 E. Marian Scott. E. Marian Scott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Manjakkal, Libu, Srinjoy Mitra, Yvan Pétillot, et al.. (2021). Connected Sensors, Innovative Sensor Deployment, and Intelligent Data Analysis for Online Water Quality Monitoring. IEEE Internet of Things Journal. 8(18). 13805–13824. 62 indexed citations
2.
3.
Davies, G. Matt, et al.. (2017). Fire severity is more sensitive to low fuel moisture content on Calluna heathlands than on peat bogs. The Science of The Total Environment. 616-617. 1261–1269. 26 indexed citations
4.
Cai, Xianlei, et al.. (2016). Short-term effects of atmospheric particulate matter on myocardial infarction: a cumulative meta-analysis. Environmental Science and Pollution Research. 23(7). 6139–6148. 31 indexed citations
5.
Scott, E. Marian, et al.. (2015). A changepoint analysis of spatio-temporal point processes. Spatial Statistics. 14. 197–207. 9 indexed citations
6.
Scott, E. Marian, et al.. (2014). Defining a fit for purpose statistically reliable sustainability indicator. Sustainability Accounting Management and Policy Journal. 5(3). 262–267. 8 indexed citations
7.
8.
Miller, Claire A., et al.. (2013). Spatiotemporal statistical modelling of long-term change in river nutrient concentrations in England & Wales. The Science of The Total Environment. 466-467. 914–923. 12 indexed citations
9.
Eze, J. I., et al.. (2013). The association of weather and bathing water quality on the incidence of gastrointestinal illness in the west of Scotland. Epidemiology and Infection. 142(6). 1289–1299. 12 indexed citations
10.
Scott, E. Marian, et al.. (2013). Environmental regulation, sustainability and risk. Sustainability Accounting Management and Policy Journal. 4(2). 120–144. 26 indexed citations
11.
Rushworth, Alastair, et al.. (2013). Flexible Regression Models Over River Networks. Journal of the Royal Statistical Society Series C (Applied Statistics). 63(1). 47–63. 32 indexed citations
12.
Willocks, Lorna, Colin N. Ramsay, Duncan Lee, et al.. (2012). Cardiovascular disease and air pollution in Scotland: no association or insufficient data and study design?. BMC Public Health. 12(1). 227–227. 21 indexed citations
13.
Buckland, S. T., Stephen R. Baillie, Jan Dick, et al.. (2012). How should regional biodiversity be monitored?. Environmental and Ecological Statistics. 19(4). 601–626. 24 indexed citations
14.
Miller, Claire A., et al.. (2011). Assessing temporal and spatial change in nutrients for large hydrological areas. Aisberg (University of Bergamo). 1–4. 1 indexed citations
15.
MacKinnon, Gillian, A.B. MacKenzie, Gordon Cook, et al.. (2011). Spatial and temporal variations in Pb concentrations and isotopic composition in road dust, farmland soil and vegetation in proximity to roads since cessation of use of leaded petrol in the UK. The Science of The Total Environment. 409(23). 5010–5019. 46 indexed citations
16.
Scott, E. Marian, et al.. (2010). Multiple testing on standardized mortality ratios: a Bayesian hierarchical model for FDR estimation. Biostatistics. 12(1). 51–67. 20 indexed citations
17.
Tyler, Andrew N., et al.. (2010). Reconstructing the abundance of Dounreay hot particles on an adjacent public beach in Northern Scotland. The Science of The Total Environment. 408(20). 4495–4503. 7 indexed citations
18.
Bowman, Adrian, et al.. (2010). Interactive Teaching Tools for Spatial Sampling. Journal of Statistical Software. 36(13). 19 indexed citations
19.
Scott, E. Marian, et al.. (2008). Choice and criteria for selection of sampling strategies in environmental radioactivity monitoring. Applied Radiation and Isotopes. 66(11). 1575–1581. 7 indexed citations
20.
Beumer, R.R., et al.. (2000). Microbial resistance and biocides : A review by the International Forum on Home Hygiene (IFH). Socio-Environmental Systems Modeling. 11 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.

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