Daniel E. Crane

6.6k total citations · 2 hit papers
18 papers, 4.4k citations indexed

About

Daniel E. Crane is a scholar working on Health, Toxicology and Mutagenesis, Plant Science and Environmental Engineering. According to data from OpenAlex, Daniel E. Crane has authored 18 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health, Toxicology and Mutagenesis, 8 papers in Plant Science and 6 papers in Environmental Engineering. Recurrent topics in Daniel E. Crane's work include Urban Green Space and Health (12 papers), Plant responses to elevated CO2 (7 papers) and Urban Heat Island Mitigation (6 papers). Daniel E. Crane is often cited by papers focused on Urban Green Space and Health (12 papers), Plant responses to elevated CO2 (7 papers) and Urban Heat Island Mitigation (6 papers). Daniel E. Crane collaborates with scholars based in United States, Chile and United Kingdom. Daniel E. Crane's co-authors include David J. Nowak, Jack C. Stevens, Robert E. Hoehn, Jeffrey T. Walton, Jack Stevens, Jerry Bond, John E. Wagner, Francisco J. Escobedo, Manuel Rodríguez and Carmen Luz de la Maza and has published in prestigious journals such as Proceedings of the IEEE, Environmental Pollution and Atmospheric Environment.

In The Last Decade

Daniel E. Crane

17 papers receiving 4.0k citations

Hit Papers

Air pollution removal by urban trees and shrubs in the Un... 2002 2026 2010 2018 2006 2002 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel E. Crane United States 12 3.0k 2.2k 1.9k 1.1k 506 18 4.4k
Peter Freer‐Smith United Kingdom 23 1.7k 0.6× 1.3k 0.6× 1.0k 0.6× 1.3k 1.2× 503 1.0× 55 4.0k
Nigel Dunnett United Kingdom 31 2.6k 0.9× 2.0k 0.9× 2.4k 1.3× 1.4k 1.2× 677 1.3× 55 4.6k
Jack C. Stevens United States 5 1.7k 0.6× 1.0k 0.5× 1.0k 0.5× 512 0.5× 137 0.3× 9 2.2k
Puay Yok Tan Singapore 34 2.7k 0.9× 1.8k 0.8× 2.4k 1.3× 716 0.7× 111 0.2× 95 4.4k
Qingfu Xiao United States 22 1.1k 0.4× 1.4k 0.6× 1.0k 0.6× 416 0.4× 324 0.6× 31 2.3k
Thomas H. Whitlow United States 25 1.0k 0.3× 933 0.4× 726 0.4× 1.0k 1.0× 346 0.7× 61 2.5k
Robert E. Hoehn United States 9 1.3k 0.4× 1.1k 0.5× 852 0.4× 414 0.4× 262 0.5× 16 1.9k
Satoshi Hirabayashi United States 18 1.8k 0.6× 1.0k 0.5× 1.1k 0.6× 532 0.5× 80 0.2× 32 2.4k
Joe R. McBride United States 26 1.0k 0.3× 1.4k 0.6× 525 0.3× 760 0.7× 734 1.5× 76 2.6k
Gordon M. Heisler United States 26 962 0.3× 977 0.4× 1.2k 0.6× 546 0.5× 175 0.3× 73 2.4k

Countries citing papers authored by Daniel E. Crane

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Crane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel E. Crane

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

All Works

18 of 18 papers shown
1.
Nowak, David J., Daniel E. Crane, Jack Stevens, et al.. (2008). A Ground-Based Method of Assessing Urban Forest Structure and Ecosystem Services. Arboriculture & Urban Forestry. 34(6). 347–358. 440 indexed citations
2.
Nowak, David J., Jeffrey T. Walton, Jack Stevens, Daniel E. Crane, & Robert E. Hoehn. (2008). Effect of Plot and Sample Size on Timing and Precision of Urban Forest Assessments. Arboriculture & Urban Forestry. 34(6). 386–390. 88 indexed citations
3.
Escobedo, Francisco J., John E. Wagner, David J. Nowak, et al.. (2007). Analyzing the cost effectiveness of Santiago, Chile's policy of using urban forests to improve air quality. Journal of Environmental Management. 86(1). 148–157. 257 indexed citations
4.
Nowak, David J., Robert E. Hoehn, & Daniel E. Crane. (2007). Oxygen Production by Urban Trees in the United States. Arboriculture & Urban Forestry. 33(3). 220–226. 39 indexed citations
5.
Nowak, David J., Daniel E. Crane, & Jack C. Stevens. (2006). Air pollution removal by urban trees and shrubs in the United States. Urban forestry & urban greening. 4(3-4). 115–123. 1709 indexed citations breakdown →
6.
Nowak, David J., Robert E. Hoehn, Jeffrey T. Walton, et al.. (2006). Urban Forest Health Monitoring in the United States. 42. 5 indexed citations
7.
Escobedo, Francisco J., David J. Nowak, John E. Wagner, et al.. (2006). The socioeconomics and management of Santiago de Chile's public urban forests. Urban forestry & urban greening. 4(3-4). 105–114. 103 indexed citations
8.
Nowak, David J., P.D. Smith, Michael L. Merritt, et al.. (2005). Houston's Regional Forest. 3 indexed citations
9.
Thompson, Janette R., et al.. (2004). Iowa, U.S., Communities Benefit From a Tree-Planting Program: Characteristics of Recently Planted Trees. Arboriculture & Urban Forestry. 30(1). 1–10. 11 indexed citations
10.
Nowak, David J., et al.. (2004). Tree mortality rates and tree population projections in Baltimore, Maryland, USA. Urban forestry & urban greening. 2(3). 139–147. 169 indexed citations
11.
Heisler, Gordon M., Richard H. Grant, David J. Nowak, et al.. (2003). Inclusion of an ultraviolet radiation transfer component in an urban forest effects model for predicting tree influences on potential below-canopy exposure to UVB radiation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5156. 228–228. 4 indexed citations
12.
Nowak, David J. & Daniel E. Crane. (2002). Carbon storage and sequestration by urban trees in the USA. Environmental Pollution. 116(3). 381–389. 1073 indexed citations breakdown →
13.
Nowak, David J., Daniel E. Crane, & John F. Dwyer. (2002). Compensatory Value of Urban Trees in the United States. Arboriculture & Urban Forestry. 28(4). 194–199. 68 indexed citations
14.
Nowak, David J., Daniel E. Crane, Jeffrey T. Walton, Daniel Twardus, & John F. Dwyer. (2002). Understanding and quantifying urban forest structure, functions, and value. 8 indexed citations
15.
Nowak, David J., Kevin Civerolo, S. Trivikrama Rao, et al.. (2000). A modeling study of the impact of urban trees on ozone. Atmospheric Environment. 34(10). 1601–1613. 198 indexed citations
16.
Nowak, David J. & Daniel E. Crane. (2000). The Urban Forest Effects (UFORE) model: quantifying urban forest structure and functions. 212. 182 indexed citations
17.
Crane, Daniel E., et al.. (1965). A new millimeter-wave harmonic multiplier. Proceedings of the IEEE. 53(7). 741–742. 1 indexed citations
18.
Crane, Daniel E., et al.. (1965). Eight milliwatts at 30 GHz with a heterojunction diode. Proceedings of the IEEE. 53(12). 2126–2126.

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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