James D. Hurd

1.4k total citations
35 papers, 1.1k citations indexed

About

James D. Hurd is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, James D. Hurd has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 15 papers in Global and Planetary Change and 12 papers in Environmental Engineering. Recurrent topics in James D. Hurd's work include Land Use and Ecosystem Services (13 papers), Remote Sensing in Agriculture (12 papers) and earthquake and tectonic studies (7 papers). James D. Hurd is often cited by papers focused on Land Use and Ecosystem Services (13 papers), Remote Sensing in Agriculture (12 papers) and earthquake and tectonic studies (7 papers). James D. Hurd collaborates with scholars based in United States, Panama and Australia. James D. Hurd's co-authors include Daniel L. Civco, Emily H. Wilson, Chester Arnold, M. S. Gilmore, Zhenkui Zhang, Mingjun Song, Jason Parent, Song Ming, John A. Silander and Jenica M. Allen and has published in prestigious journals such as Remote Sensing of Environment, International Journal of Remote Sensing and Landscape Ecology.

In The Last Decade

James D. Hurd

35 papers receiving 958 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James D. Hurd United States	13	771	397	326	264	162	35	1.1k
Emily H. Wilson United States	7	992 1.3×	754 1.9×	475 1.5×	308 1.2×	179 1.1×	9	1.5k
Qing Ying China	12	664 0.9×	386 1.0×	208 0.6×	219 0.8×	77 0.5×	20	954
Luca Congedo Italy	16	574 0.7×	251 0.6×	457 1.4×	164 0.6×	94 0.6×	29	1.0k
Scott Hetrick United States	16	723 0.9×	496 1.2×	358 1.1×	265 1.0×	258 1.6×	21	1.2k
Joseph Scepan United States	7	489 0.6×	237 0.6×	120 0.4×	190 0.7×	91 0.6×	12	676
David Stutzer United States	6	948 1.2×	422 1.1×	365 1.1×	185 0.7×	36 0.2×	7	1.2k
Youyue Wen China	17	1.1k 1.4×	555 1.4×	295 0.9×	262 1.0×	30 0.2×	27	1.3k
J. S. Rawat India	11	728 0.9×	405 1.0×	217 0.7×	227 0.9×	164 1.0×	34	1.1k
Maria Lanfredi Italy	19	502 0.7×	308 0.8×	175 0.5×	156 0.6×	52 0.3×	50	833
Mi Jun China	8	826 1.1×	667 1.7×	349 1.1×	346 1.3×	118 0.7×	16	1.2k

Countries citing papers authored by James D. Hurd

Since Specialization

Citations

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

Fields of papers citing papers by James D. Hurd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James D. Hurd. 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 James D. Hurd. The network helps show where James D. Hurd may publish in the future.

Co-authorship network of co-authors of James D. Hurd

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

All Works

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20 of 20 papers shown

Hurd, James D., et al.. (2022). Further evidence for the East Coast fault system and faults associated with the Summerville restraining bend and their possible relationship to the 1886 Charleston, South Carolina, earthquake, USA. Érudit (Université de Montréal). 58. 99–129. 1 indexed citations

Hurd, James D., et al.. (2021). Investigation of the Cape Fear arch and East Coast fault system in the Coastal Plain of North Carolina and northeastern South Carolina, USA, using LiDAR data. Atlantic Geology. 57. 311–341. 4 indexed citations

Yang, Zhiyuan, et al.. (2020). Using Landsat 8 data to compare percent impervious surface area and normalized difference vegetation index as indicators of urban heat island effects in Connecticut, USA. Environmental Earth Sciences. 79(18). 17 indexed citations

Hurd, James D., et al.. (2020). INTERPRETATION OF LINEAMENTS AND FAULTS NEAR SUMMERVILLE, SOUTH CAROLINA, USING LIDAR DATA AND PREVIOUSLY ACQUIRED SEISMIC-REFLECTION PROFILES: IMPLICATIONS FOR THE CAUSE OF THE 1886 CHARLESTON, SOUTH CAROLINA, EARTHQUAKE. Abstracts with programs - Geological Society of America. 2 indexed citations

Hurd, James D., et al.. (2019). LiDAR and other evidence for the southwest continuation and Late Quaternary reactivation of the Norumbega Fault System and a cross-cutting structure near Biddeford, Maine, USA. Érudit (Université de Montréal). 55. 323–359. 2 indexed citations

Hurd, James D., et al.. (2018). Ring-shaped morphological features and interpreted small seamounts between southern Quebec (Canada) and the New England seamounts (USA) and their possible association with the New England hotspot track. Atlantic Geology. 223–265. 3 indexed citations

Hurd, James D. & Daniel L. Civco. (2010). ASSESSING FOREST FRAGMENTATION IN CONNECTICUT USING MULTI-TEMPORAL LAND COVER. 4 indexed citations

Hurd, James D. & Daniel L. Civco. (2009). CREATING AN IMAGE DATASET TO MEET YOUR CLASSIFICATION NEEDS: A PROOF-OF-CONCEPT STUDY. 6 indexed citations

Civco, Daniel L., et al.. (2009). Assessment of Impervious Surface Estimation Techniques. Journal of Hydrologic Engineering. 14(4). 377–387. 38 indexed citations

10.

Gilmore, M. S., et al.. (2008). Integrating multi-temporal spectral and structural information to map wetland vegetation in a lower Connecticut River tidal marsh. Remote Sensing of Environment. 112(11). 4048–4060. 138 indexed citations

11.

Hurd, James D., et al.. (2007). QUANTITATIVE ASSESSMENT OF THE ACCURACY OF SPATIAL ESTIMATION OF IMPERVIOUS COVER. 2 indexed citations

12.

Civco, Daniel L., et al.. (2006). USE OF LIDAR DATA TO AID IN DISCRIMINATING AND MAPPING PLANT COMMUNITIES IN TIDAL MARSHES OF THE LOWER CONNECTICUT RIVER: PRELIMINARY RESULTS. 2 indexed citations

13.

Civco, Daniel L., et al.. (2006). Characterization of Coastal Wetland Systems using Multiple Remote Sensing Data Types and Analytical Techniques. 8 indexed citations

14.

Ming, Song, Daniel L. Civco, & James D. Hurd. (2005). A competitive pixel-object approach for land cover classification. International Journal of Remote Sensing. 26(22). 4981–4997. 43 indexed citations

15.

Wilson, Emily H., et al.. (2003). Development of a geospatial model to quantify, describe and map urban growth. Remote Sensing of Environment. 86(3). 275–285. 341 indexed citations

16.

Civco, Daniel L., et al.. (2002). Quantifying and Describing Urbanizing Landscapes in the Northeast United States. Photogrammetric Engineering & Remote Sensing. 68(10). 1083–1090. 121 indexed citations

17.

Wilson, Emily H., James D. Hurd, & Daniel L. Civco. (2002). DEVELOPMENT OF A MODEL TO QUANTIFY AND MAP URBAN GROWTH. 5 indexed citations

18.

Civco, Daniel L., James D. Hurd, Emily H. Wilson, Mingjun Song, & Zhenkui Zhang. (2002). A COMPARISON OF LAND USE AND LAND COVER CHANGE DETECTION METHODS. 96 indexed citations

19.

Hurd, James D., et al.. (2001). CHARACTERIZATION OF FOREST FRAGMENTATION AND URBAN SPRAWL USING TIME SEQUENTIAL LANDSAT IMAGERY. 48 indexed citations

20.

Arnold, Chester, et al.. (2000). Remote-Sensing-Enhanced Outreach Education as a Decision Support System for Local Land-Use Officials. Photogrammetric Engineering & Remote Sensing. 66(10). 1251–1260. 20 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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