Jacob McKee

418 total citations
11 papers, 281 citations indexed

About

Jacob McKee is a scholar working on Computer Vision and Pattern Recognition, Global and Planetary Change and Ecology. According to data from OpenAlex, Jacob McKee has authored 11 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Global and Planetary Change and 2 papers in Ecology. Recurrent topics in Jacob McKee's work include Video Surveillance and Tracking Methods (4 papers), Impact of Light on Environment and Health (4 papers) and Land Use and Ecosystem Services (3 papers). Jacob McKee is often cited by papers focused on Video Surveillance and Tracking Methods (4 papers), Impact of Light on Environment and Health (4 papers) and Land Use and Ecosystem Services (3 papers). Jacob McKee collaborates with scholars based in United States and United Kingdom. Jacob McKee's co-authors include Budhendra Bhaduri, Edward A. Bright, Amy Rose, Tomas J. Bird, Vincent Seaman, Robert Stewart, Andrew J. Tatem, David M. Cochran, H. Lexie Yang and Jiangye Yuan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

In The Last Decade

Jacob McKee

11 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jacob McKee United States	8	143	78	70	26	20	11	281
Maksym Bondarenko United Kingdom	8	161 1.1×	89 1.1×	46 0.7×	22 0.8×	18 0.9×	22	341
Jinwen Xu United States	9	125 0.9×	63 0.8×	91 1.3×	15 0.6×	26 1.3×	18	305
Gregory Yetman United States	7	197 1.4×	86 1.1×	35 0.5×	25 1.0×	16 0.8×	10	317
J.J. Verplanke Netherlands	10	101 0.7×	69 0.9×	64 0.9×	16 0.6×	22 1.1×	24	298
Parmanand Sinha United States	4	191 1.3×	89 1.1×	37 0.5×	33 1.3×	54 2.7×	7	357
Yolanda Pérez Albert Spain	9	102 0.7×	33 0.4×	61 0.9×	20 0.8×	23 1.1×	38	278
Eduarda Marques da Costa Portugal	10	88 0.6×	60 0.8×	24 0.3×	25 1.0×	19 0.9×	50	285
Joe Tuccillo United States	8	150 1.0×	36 0.5×	142 2.0×	13 0.5×	36 1.8×	13	347
Alexander Stewart Fotheringham United States	4	74 0.5×	104 1.3×	65 0.9×	26 1.0×	106 5.3×	6	370
Kemper Thomas	7	233 1.6×	65 0.8×	35 0.5×	55 2.1×	21 1.1×	19	347

Countries citing papers authored by Jacob McKee

Since Specialization

Citations

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

Fields of papers citing papers by Jacob McKee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob McKee

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

All Works

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11 of 11 papers shown

Yang, H. Lexie, et al.. (2024). A baseline structure inventory with critical attribution for the US and its territories. Scientific Data. 11(1). 502–502. 10 indexed citations

McKee, Jacob, et al.. (2021). Automated Registration of Vector Data to Overhead Imagery. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1. 5465–5468. 1 indexed citations

McKee, Jacob, et al.. (2021). A VECTOR ANALYTICAL FRAMEWORK FOR POPULATION MODELING. SHILAP Revista de lepidopterología. XLVI-4/W2-2021. 103–108. 6 indexed citations

Moore, Brian G. & Jacob McKee. (2019). The impact of seasonality on multi-scale feature extraction techniques. International Journal of Digital Earth. 13(1). 9–21. 2 indexed citations

Yuan, Jiangye, et al.. (2018). Exploiting deep learning and volunteered geographic information for mapping buildings in Kano, Nigeria. Scientific Data. 5(1). 180217–180217. 19 indexed citations

Bhaduri, Budhendra, et al.. (2018). Estimating urban areas: New insights from very high-resolution human settlement data. Remote Sensing Applications Society and Environment. 10. 93–103. 22 indexed citations

Moore, Brian C. J., et al.. (2018). A Comparison of Machine Learning Techniques to Extract Human Settlements from High Resolution Imagery. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 67. 6412–6415. 10 indexed citations

Seaman, Vincent, Robert Stewart, Tomas J. Bird, et al.. (2017). Census-independent population mapping in northern Nigeria. Remote Sensing of Environment. 204. 786–798. 74 indexed citations

McKee, Jacob, et al.. (2015). Locally adaptive, spatially explicit projection of US population for 2030 and 2050. Proceedings of the National Academy of Sciences. 112(5). 1344–1349. 54 indexed citations

10.

McKee, Jacob & David M. Cochran. (2012). The Role of Landscape in the Distribution of Deer-Vehicle Collisions in South Mississippi. Southeastern geographer. 52(3). 327–340. 9 indexed citations

11.

McKee, Jacob. (2010). Catastrophe in the Making: The Engineering of Katrina and the Disasters of Tomorrow. Journal of Integrative Environmental Sciences. 7(1). 97–98. 74 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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