Nicholas N. Nagle

1.3k total citations
39 papers, 879 citations indexed

About

Nicholas N. Nagle is a scholar working on Sociology and Political Science, Economics and Econometrics and Global and Planetary Change. According to data from OpenAlex, Nicholas N. Nagle has authored 39 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 11 papers in Economics and Econometrics and 10 papers in Global and Planetary Change. Recurrent topics in Nicholas N. Nagle's work include demographic modeling and climate adaptation (9 papers), Urban, Neighborhood, and Segregation Studies (9 papers) and Urban Transport and Accessibility (6 papers). Nicholas N. Nagle is often cited by papers focused on demographic modeling and climate adaptation (9 papers), Urban, Neighborhood, and Segregation Studies (9 papers) and Urban Transport and Accessibility (6 papers). Nicholas N. Nagle collaborates with scholars based in United States, Russia and Ireland. Nicholas N. Nagle's co-authors include Seth Spielman, David C. Folch, Carter T. Butts, John R. Hipp, Barbara P. Buttenfield, Stefan Leyk, Adam Boessen, Emily J. Smith, Robert Stewart and Michael R. Hilliard and has published in prestigious journals such as International Journal of Environmental Research and Public Health, BMC Public Health and Remote Sensing.

In The Last Decade

Nicholas N. Nagle

37 papers receiving 851 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicholas N. Nagle United States 15 298 278 205 146 109 39 879
David C. Folch United States 13 158 0.5× 373 1.3× 218 1.1× 217 1.5× 89 0.8× 25 880
Samantha Cockings United Kingdom 15 224 0.8× 101 0.4× 135 0.7× 134 0.9× 85 0.8× 32 637
Michael Reibel United States 14 176 0.6× 341 1.2× 203 1.0× 243 1.7× 160 1.5× 25 810
Julia Koschinsky United States 19 445 1.5× 339 1.2× 137 0.7× 329 2.3× 162 1.5× 40 1.2k
Carla Pezzulo United Kingdom 14 250 0.8× 108 0.4× 240 1.2× 74 0.5× 87 0.8× 20 794
Zengwang Xu United States 10 187 0.6× 359 1.3× 220 1.1× 180 1.2× 70 0.6× 22 940
David Van Riper United States 17 226 0.8× 197 0.7× 91 0.4× 62 0.4× 142 1.3× 31 783
Warren C. Jochem United Kingdom 12 216 0.7× 148 0.5× 295 1.4× 33 0.2× 86 0.8× 19 725
Carl Amrhein Canada 14 266 0.9× 167 0.6× 84 0.4× 331 2.3× 138 1.3× 41 1.1k
Arnaud Banos France 14 425 1.4× 87 0.3× 196 1.0× 65 0.4× 96 0.9× 59 1.0k

Countries citing papers authored by Nicholas N. Nagle

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas N. Nagle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas N. Nagle. 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 Nicholas N. Nagle. The network helps show where Nicholas N. Nagle may publish in the future.

Co-authorship network of co-authors of Nicholas N. Nagle

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas N. Nagle. A scholar is included among the top collaborators of Nicholas N. Nagle 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 Nicholas N. Nagle. Nicholas N. Nagle 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.
Hipp, John R., Adam Boessen, Carter T. Butts, Nicholas N. Nagle, & Emily J. Smith. (2023). The spatial distribution of neighborhood safety ties: Consequences for perceived collective efficacy?. Journal of Urban Affairs. 1–23. 1 indexed citations
2.
Stewart, Robert, et al.. (2022). Near real time monitoring and forecasting for COVID-19 situational awareness. Applied Geography. 146. 102759–102759. 4 indexed citations
3.
Tuccillo, Joe, et al.. (2022). UrbanPop: A spatial microsimulation framework for exploring demographic influences on human dynamics. Applied Geography. 151. 102844–102844. 8 indexed citations
4.
Nagle, Nicholas N., et al.. (2021). Characterizing Forest Dynamics with Landsat-Derived Phenology Curves. Remote Sensing. 13(2). 267–267. 4 indexed citations
5.
Odoi, Evah W., et al.. (2020). Sociodemographic Determinants of Acute Myocardial Infarction Hospitalization Risks in Florida. Journal of the American Heart Association. 9(11). e012712–e012712. 9 indexed citations
6.
Odoi, Evah W., et al.. (2019). Geographic disparities and temporal changes in risk of death from myocardial infarction in Florida, 2000–2014. BMC Public Health. 19(1). 505–505. 10 indexed citations
7.
Odoi, Evah W., et al.. (2019). Disparities in Temporal and Geographic Patterns of Myocardial Infarction Hospitalization Risks in Florida. International Journal of Environmental Research and Public Health. 16(23). 4734–4734. 3 indexed citations
8.
Nagle, Nicholas N., et al.. (2019). A Regularized Raking Estimator for Small-Area Mapping from Forest Inventory Surveys. Forests. 10(11). 1045–1045. 3 indexed citations
9.
Bhaduri, Budhendra, et al.. (2018). Supervised classification of electric power transmission line nominal voltage from high-resolution aerial imagery. GIScience & Remote Sensing. 55(6). 860–879. 2 indexed citations
10.
Aziz, H. M. Abdul, Nicholas N. Nagle, April Morton, et al.. (2017). Exploring the impact of walk–bike infrastructure, safety perception, and built-environment on active transportation mode choice: a random parameter model using New York City commuter data. Transportation. 45(5). 1207–1229. 99 indexed citations
11.
Boessen, Adam, John R. Hipp, Carter T. Butts, Nicholas N. Nagle, & Emily J. Smith. (2016). Social fabric and fear of crime: Considering spatial location and time of day. Social Networks. 51. 60–72. 23 indexed citations
12.
Grace, Kathryn & Nicholas N. Nagle. (2015). Using High-Resolution Remotely Sensed Data to Examine the Relationship Between Agriculture and Fertility in Mali. The Professional Geographer. 67(4). 641–654. 13 indexed citations
13.
Smith, Emily J., Christopher Steven Marcum, Adam Boessen, et al.. (2014). The Relationship of Age to Personal Network Size, Relational Multiplexity, and Proximity to Alters in the Western United States. The Journals of Gerontology Series B. 70(1). 91–99. 38 indexed citations
14.
Leyk, Stefan, et al.. (2013). Establishing relationships between parcel data and land cover for demographic small area estimation. Cartography and Geographic Information Science. 40(4). 305–315. 17 indexed citations
15.
Spielman, Seth, David C. Folch, & Nicholas N. Nagle. (2013). Patterns and causes of uncertainty in the American Community Survey. Applied Geography. 46. 147–157. 209 indexed citations
16.
Leyk, Stefan, Nicholas N. Nagle, & Barbara P. Buttenfield. (2013). Maximum Entropy Dasymetric Modeling for Demographic Small Area Estimation. Geographical Analysis. 45(3). 285–306. 28 indexed citations
17.
Butts, Carter T., et al.. (2011). Geographical variability and network structure. Social Networks. 34(1). 82–100. 70 indexed citations
18.
Nagle, Nicholas N., Stuart Sweeney, & Phaedon Kyriakidis. (2011). A Geostatistical Linear Regression Model for Small Area Data. 一种适用于小区域数据的地统计线性回归模型. Geographical Analysis. 43(1). 38–60. 11 indexed citations
19.
20.
Nagle, Nicholas N.. (2009). Spatial Linear Regression from Census Microdata: Combining Microdata and Small Area Data. Environment and Planning A Economy and Space. 41(9). 2215–2231. 2 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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