William J. Reed

6.0k total citations
103 papers, 4.2k citations indexed

About

William J. Reed is a scholar working on Global and Planetary Change, Economics and Econometrics and Nature and Landscape Conservation. According to data from OpenAlex, William J. Reed has authored 103 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Global and Planetary Change, 23 papers in Economics and Econometrics and 17 papers in Nature and Landscape Conservation. Recurrent topics in William J. Reed's work include Forest Management and Policy (15 papers), Fire effects on ecosystems (12 papers) and Economic theories and models (8 papers). William J. Reed is often cited by papers focused on Forest Management and Policy (15 papers), Fire effects on ecosystems (12 papers) and Economic theories and models (8 papers). William J. Reed collaborates with scholars based in Canada, Australia and United States. William J. Reed's co-authors include Harry Clarke, Murray Jorgensen, Barry D. Hughes, Kevin S. McKelvey, M. J. Holden, Terence J. Kemp, A F J Cox, Chris P. S. Larsen, Glen M. MacDonald and E. A. Johnson and has published in prestigious journals such as PLoS ONE, Ecology and Biometrics.

In The Last Decade

William J. Reed

99 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William J. Reed Canada	34	1.5k	1.4k	731	480	332	103	4.2k
Christian Kleiber Germany	17	914 0.6×	977 0.7×	597 0.8×	1.0k 2.2×	407 1.2×	37	5.3k
Clifford M. Hurvich United States	26	1.1k 0.8×	1.6k 1.1×	907 1.2×	1.5k 3.1×	1.4k 4.2×	87	8.5k
Francisco Cribari‐Neto Brazil	27	699 0.5×	610 0.4×	710 1.0×	919 1.9×	324 1.0×	135	6.1k
Kung‐Sik Chan United States	37	1.4k 1.0×	1.4k 1.0×	695 1.0×	1.2k 2.4×	1.1k 3.3×	111	5.5k
C. Radhakrishna Rao United States	38	323 0.2×	463 0.3×	751 1.0×	455 0.9×	323 1.0×	162	7.3k
Walter Krämer Germany	22	542 0.4×	1.2k 0.9×	451 0.6×	645 1.3×	815 2.5×	120	4.5k
Andrew R. Solow United States	50	2.9k 1.9×	1.0k 0.8×	1.7k 2.3×	3.3k 6.9×	42 0.1×	243	8.4k
Christopher Chatfield United Kingdom	24	532 0.4×	369 0.3×	239 0.3×	422 0.9×	91 0.3×	40	4.7k
Jennifer A. Hoeting United States	22	706 0.5×	698 0.5×	682 0.9×	692 1.4×	217 0.7×	54	5.2k
Walter Zucchini Germany	28	522 0.3×	299 0.2×	368 0.5×	1.1k 2.3×	291 0.9×	54	4.3k

Countries citing papers authored by William J. Reed

Since Specialization

Citations

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

Fields of papers citing papers by William J. Reed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Reed. 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 William J. Reed. The network helps show where William J. Reed may publish in the future.

Co-authorship network of co-authors of William J. Reed

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Reed. A scholar is included among the top collaborators of William J. Reed 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 William J. Reed. William J. Reed 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

Reed, William J., et al.. (2024). Temporal variability and predictability predict alpine plant community composition and distribution patterns. Ecology. 105(12). e4450–e4450.

Reed, William J., et al.. (2017). Strategies for Biopsy of Musculoskeletal Tumors. Seminars in Roentgenology. 52(4). 282–290. 7 indexed citations

Greydanus, Donald E., et al.. (2016). Public Health Aspects of Substance Use and Abuse in Adolescence. 8(4). 455. 1 indexed citations

Lesperance, Mary, et al.. (2016). Assessing Conformance with Benford’s Law: Goodness-Of-Fit Tests and Simultaneous Confidence Intervals. PLoS ONE. 11(3). e0151235–e0151235. 23 indexed citations

Reed, William J. & Barry D. Hughes. (2007). Theoretical size distribution of fossil taxa: analysis of a null model. Theoretical Biology and Medical Modelling. 4(1). 12–12. 7 indexed citations

Reed, William J.. (2006). A parametric model for income and other size distributions and some extensions. METRON. 93–106. 1 indexed citations

Reed, William J.. (2006). A stochastic model for the spread of a sexually transmitted disease which results in a scale-free network. Mathematical Biosciences. 201(1-2). 3–14. 17 indexed citations

Reed, William J. & Barry D. Hughes. (2004). A model explaining the size distribution of gene and protein families. Mathematical Biosciences. 189(1). 97–102. 34 indexed citations

Reed, William J. & Edward A. Johnson. (2004). Statistical methods for estimating historical fire frequency from multiple fire-scar data. Canadian Journal of Forest Research. 34(11). 2306–2313. 15 indexed citations

10.

Reed, William J.. (2002). On the Rank-size Distribution for Human Settlements. SSRN Electronic Journal. 4 indexed citations

11.

Reed, William J. & Barry D. Hughes. (2002). On the Size Distribution of Live Genera. Journal of Theoretical Biology. 217(1). 125–135. 21 indexed citations

12.

Reed, William J. & Barry D. Hughes. (2002). From gene families and genera to incomes and internet file sizes: Why power laws are so common in nature. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 66(6). 67103–67103. 158 indexed citations

13.

Reed, William J., et al.. (1998). Spiral fracture of the humerus in a ball thrower. The American Journal of Emergency Medicine. 16(3). 306–308. 11 indexed citations

14.

Reed, William J., Chris P. S. Larsen, E. A. Johnson, & Glen M. MacDonald. (1998). Estimation of Temporal Variations in Historical Fire Frequency from Time-Since-Fire Map Data. Forest Science. 44(3). 465–475. 61 indexed citations

15.

Reed, William J. & Robert G. Haight. (1996). Predicting the Present Value Distribution of a Forest Plantation Investment. Forest Science. 42(3). 378–388. 19 indexed citations

16.

Reed, William J.. (1987). Optimal preventive maintenance, protection, and replacement of a revenue-earning asset. Applied Mathematics and Computation. 24(3). 241–261. 2 indexed citations

17.

Bhagwat, V. R., et al.. (1981). Screening of chickpea cultivars for borer (Heliothis armigera) susceptibility in pesticide free conditions at ICRISAT center. Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics). 5. 13–14. 2 indexed citations

18.

Ruben, Harold & William J. Reed. (1973). A more general form of a theorem of Crofton. Journal of Applied Probability. 10(2). 479–482. 12 indexed citations

19.

Reed, William J.. (1966). Cultivation of the black-lip pearl oyster Pinctada margaritifera (L.). Journal of conchology. 26(1). 26–32. 4 indexed citations

20.

Reed, William J.. (1954). The shell collections of E. R. Sykes. Journal of conchology. 24(1). 23–24. 1 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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