Robert Haining

7.7k total citations · 3 hit papers
132 papers, 4.8k citations indexed

About

Robert Haining is a scholar working on Economics and Econometrics, Epidemiology and Environmental Engineering. According to data from OpenAlex, Robert Haining has authored 132 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Economics and Econometrics, 27 papers in Epidemiology and 22 papers in Environmental Engineering. Recurrent topics in Robert Haining's work include Spatial and Panel Data Analysis (73 papers), Data-Driven Disease Surveillance (22 papers) and Soil Geostatistics and Mapping (20 papers). Robert Haining is often cited by papers focused on Spatial and Panel Data Analysis (73 papers), Data-Driven Disease Surveillance (22 papers) and Soil Geostatistics and Mapping (20 papers). Robert Haining collaborates with scholars based in United Kingdom, United States and China. Robert Haining's co-authors include Daniel A. Griffith, Stephen Wise, Jane Law, Vânia Ceccato, Michael Goodchild, Robert J. Bennett, Giuseppe Arbia, Michael F. Goodchild, Massimo Craglia and Jinfeng Wang and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Robert Haining

130 papers receiving 4.5k citations

Hit Papers

Spatial data analysis the... 1990 2026 2002 2014 2003 1990 2024 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert Haining 1.9k 908 739 718 536 132 4.8k
Andrew Cliff 2.5k 1.3× 941 1.0× 731 1.0× 560 0.8× 707 1.3× 116 6.5k
Anthony C. Gatrell 855 0.4× 641 0.7× 783 1.1× 313 0.4× 618 1.2× 74 5.1k
Trevor Bailey 714 0.4× 748 0.8× 379 0.5× 351 0.5× 644 1.2× 73 5.1k
David W. S. Wong 1.2k 0.6× 1.1k 1.3× 1.8k 2.4× 766 1.1× 243 0.5× 121 6.2k
Peter A. Rogerson 1.1k 0.6× 510 0.6× 1.2k 1.6× 289 0.4× 676 1.3× 146 5.2k
Stan Openshaw 1.2k 0.6× 864 1.0× 671 0.9× 472 0.7× 400 0.7× 108 4.4k
Sergio J. Rey 2.6k 1.4× 690 0.8× 726 1.0× 322 0.4× 188 0.4× 132 4.4k
Carol A. Gotway 774 0.4× 633 0.7× 276 0.4× 1.1k 1.5× 494 0.9× 49 4.6k
Hadi Dowlatabadi 1.3k 0.7× 1.9k 2.1× 787 1.1× 833 1.2× 304 0.6× 117 7.4k
Daniel A. Griffith 5.7k 3.0× 2.0k 2.2× 1.1k 1.5× 1.1k 1.5× 590 1.1× 282 10.2k

Countries citing papers authored by Robert Haining

Since Specialization
Citations

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

Fields of papers citing papers by Robert Haining

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Haining. 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 Robert Haining. The network helps show where Robert Haining may publish in the future.

Co-authorship network of co-authors of Robert Haining

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Haining. A scholar is included among the top collaborators of Robert Haining 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 Robert Haining. Robert Haining 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.
Haining, Robert, et al.. (2016). Crime victimization and the implications for individual health and wellbeing: A Sheffield case study. Social Science & Medicine. 167. 128–139. 26 indexed citations
2.
Shekhar, Sulochana, et al.. (2016). Analysing malaria incidence at the small area level for developing a spatial decision support system: A case study in Kalaburagi, Karnataka, India. Spatial and Spatio-temporal Epidemiology. 20. 9–25. 9 indexed citations
3.
Ge, Erjia, Robert Haining, Chi Pang Li, et al.. (2012). Using Knowledge Fusion to Analyze Avian Influenza H5N1 in East and Southeast Asia. PLoS ONE. 7(5). e29617–e29617. 10 indexed citations
4.
Kerry, Ruth, Pierre Goovaerts, Robert Haining, & Vânia Ceccato. (2010). Applying Geostatistical Analysis to Crime Data: Car‐Related Thefts in the Baltic States. 应用地统计学分析犯罪数据:波罗的海诸国的汽车失窃事件. Geographical Analysis. 42(1). 53–77. 35 indexed citations
5.
Maheswaran, Ravi, Robert Haining, Tim Pearson, et al.. (2006). Outdoor NOx and stroke mortality: adjusting for small area level smoking prevalence using a Bayesian approach. Statistical Methods in Medical Research. 15(5). 499–516. 11 indexed citations
6.
Maheswaran, Ravi, Tim Pearson, Michael J. Campbell, et al.. (2006). A protocol for investigation of the effects of outdoor air pollution on stroke incidence, phenotypes and survival using the South London Stroke Register. International Journal of Health Geographics. 5(1). 10–10. 21 indexed citations
7.
Goodchild, Michael F. & Robert Haining. (2005). SIG y análisis espacial de datos: perspectivas convergentes. SHILAP Revista de lepidopterología. 4 indexed citations
8.
Maheswaran, Ravi, Robert Haining, Paul Brindley, et al.. (2005). Outdoor air pollution, mortality, and hospital admissions from coronary heart disease in Sheffield, UK: a small-area level ecological study. European Heart Journal. 26(23). 2543–2549. 52 indexed citations
9.
Arbia, Giuseppe, et al.. (2003). Error propagation computing vegetation indices based on Landsat imagery. Environmental and Ecological Statistics. 10(2). 375–396. 8 indexed citations
10.
Haining, Robert. (2003). Spatial data analysis theory and practice. 604 indexed citations breakdown →
11.
Bowns, Ian, et al.. (2000). Hitting the target: the equitable distribution of health visitors across caseloads. Journal of Public Health. 22(3). 295–301. 12 indexed citations
12.
Haining, Robert, et al.. (1998). Errors in postcode to enumeration district mapping and their effect on small area analyses of health data. Journal of Public Health. 20(3). 325–330. 13 indexed citations
13.
Haining, Robert, Stephen Wise, & Marcus Blake. (1994). Constructing regions for small area analysis: material deprivation and colorectal cancer. Journal of Public Health. 16(4). 429–438. 42 indexed citations
14.
Goodchild, Michael, Robert Haining, & Stephen Wise. (1992). Integrating GIS and spatial data analysis: problems and possibilities. International Journal of Geographical Information Systems. 6(5). 407–423. 233 indexed citations
15.
Ripley, B. D., J. K. Ord, Luc Anselin, et al.. (1990). Spatial Statistics: Past, Present, and Future. Deep Blue (University of Michigan). 98 indexed citations
16.
Haining, Robert. (1987). Small Area Aggregate Income Models: Theory and Methods with an Application to Urban and Rural Income Data for Pennsylvania. Regional Studies. 21(6). 519–529. 10 indexed citations
17.
Haining, Robert. (1987). Spatial modelling and the statistical analysis of spatial data in human geography. French digital mathematics library (Numdam). 99(99). 5–25. 3 indexed citations
18.
Haining, Robert, Daniel A. Griffith, & Robert J. Bennett. (1984). A STATISTICAL APPROACH TO THE PROBLEM OF MISSING SPATIAL DATA USING A FIRST-ORDER MARKOV MODEL. The Professional Geographer. 36(3). 338–345. 24 indexed citations
19.
Haining, Robert. (1982). Describing and Modeling Rural Settlement Maps. Annals of the Association of American Geographers. 72(2). 211–223. 19 indexed citations
20.
Haining, Robert. (1978). Mathematics in the geography curriculum. Journal of Geography in Higher Education. 2(1). 29–37. 4 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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