David E. Kretschmann

1.4k total citations
53 papers, 730 citations indexed

About

David E. Kretschmann is a scholar working on Building and Construction, Mechanical Engineering and Nature and Landscape Conservation. According to data from OpenAlex, David E. Kretschmann has authored 53 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Building and Construction, 20 papers in Mechanical Engineering and 19 papers in Nature and Landscape Conservation. Recurrent topics in David E. Kretschmann's work include Wood Treatment and Properties (29 papers), Tree Root and Stability Studies (20 papers) and Forest ecology and management (19 papers). David E. Kretschmann is often cited by papers focused on Wood Treatment and Properties (29 papers), Tree Root and Stability Studies (20 papers) and Forest ecology and management (19 papers). David E. Kretschmann collaborates with scholars based in United States, Germany and Brazil. David E. Kretschmann's co-authors include David W. Green, John J. Balatinecz, Jerrold E. Winandy, B. A. Bendtsen, Steven M. Cramer, Roderic S. Lakes, David W. Green, Steve Verrill, James A. Sherwood and Eric Ruggiero and has published in prestigious journals such as Applied Sciences, Journal of Materials in Civil Engineering and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

David E. Kretschmann

50 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David E. Kretschmann United States	12	416	287	177	130	126	53	730
Jim L. Bowyer United States	9	441 1.1×	198 0.7×	181 1.0×	139 1.1×	119 0.9×	27	927
Yves Fortin Canada	15	422 1.0×	262 0.9×	109 0.6×	74 0.6×	142 1.1×	37	596
Lihai Wang China	16	339 0.8×	261 0.9×	186 1.1×	130 1.0×	231 1.8×	98	1.1k
John G. Haygreen United States	8	345 0.8×	198 0.7×	164 0.9×	106 0.8×	117 0.9×	26	712
Olav Høibø Norway	18	368 0.9×	201 0.7×	227 1.3×	181 1.4×	60 0.5×	42	858
Michael R. Milota United States	16	320 0.8×	174 0.6×	153 0.9×	77 0.6×	87 0.7×	43	598
P. David Jones United States	12	436 1.0×	122 0.4×	190 1.1×	62 0.5×	104 0.8×	17	777
Junji Matsumura Japan	17	543 1.3×	286 1.0×	199 1.1×	63 0.5×	291 2.3×	101	986
Michele Brunetti Italy	17	534 1.3×	262 0.9×	121 0.7×	58 0.4×	156 1.2×	53	731
Roberto Zanuttini Italy	14	297 0.7×	135 0.5×	49 0.3×	94 0.7×	75 0.6×	73	513

Countries citing papers authored by David E. Kretschmann

Since Specialization

Citations

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

Fields of papers citing papers by David E. Kretschmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David E. Kretschmann

This figure shows the co-authorship network connecting the top 25 collaborators of David E. Kretschmann. A scholar is included among the top collaborators of David E. Kretschmann 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 David E. Kretschmann. David E. Kretschmann 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

Mascia, Nilson Tadeu, et al.. (2020). Evaluation of Tension Perpendicular to Grain Strengths in Small Clear Samples of Sugar Maple for Radial,Tangential and 45-Degree Loading Directions. Materials Research. 23(3). 4 indexed citations

Sherwood, James A., et al.. (2018). Characterization of Maple and Ash Material Properties for the Finite Element Modeling of Wood Baseball Bats. Applied Sciences. 8(11). 2256–2256. 10 indexed citations

Sherwood, James A., et al.. (2016). Characterization of Maple and Ash Material Properties as a Function of Wood Density for Bat/Ball Impact Modeling in LS-DYNA. Procedia Engineering. 147. 413–418. 5 indexed citations

Morrow, Carl, et al.. (2013). PREDICTION OF WOOD QUALITY IN SMALL-DIAMETER DOUGLAS-FIR USING SITE AND STAND CHARACTERISTICS. Wood and Fiber Science. 45(1). 49–61. 4 indexed citations

Ruggiero, Eric, et al.. (2012). An investigation of bat durability by wood species. Procedia Engineering. 34. 427–432. 10 indexed citations

Faller, Ronald K., et al.. (2009). Midwest Guardrail System with round Timber Posts. Transportation Research Record Journal of the Transportation Research Board. 2120(1). 47–59. 15 indexed citations

Green, David W. & David E. Kretschmann. (2007). Lumber Property Relationships for Engineering Design Standards. Wood and Fiber Science. 23(3). 436–456. 7 indexed citations

Pearson, Richard G., et al.. (2007). Effect of press-drying on static bending properties of plantation-grown No. 2 loblolly pine lumber. Forest Products Journal. 57(11). 70–73. 3 indexed citations

Green, David W., et al.. (2007). On Fracture-Related Causes for Reduction in Tensile Strength of Southern Pine Lumber at Low Moisture Content. Wood and Fiber Science. 35(1). 90–101. 1 indexed citations

10.

Cramer, Steven M., et al.. (2005). Earlywood and latewood elastic properties in loblolly pine. Holzforschung. 59(5). 531–538. 64 indexed citations

11.

Balatinecz, John J., et al.. (2001). Achievements in the utilization of poplar wood – guideposts for the future. The Forestry Chronicle. 77(2). 265–269. 71 indexed citations

12.

Balatinecz, John J., et al.. (2001). Achievements in the utilization of poplarwood : guideposts for the future. 1 indexed citations

13.

Kretschmann, David E. & David W. Green. (1999). Lumber stress grades and design properties. 113. 6 indexed citations

14.

Kretschmann, David E. & David W. Green. (1996). Modeling Moisture Content-Mechanical Property Relationships For Clear Southern Pine. Wood and Fiber Science. 28(3). 320–337. 75 indexed citations

15.

Kretschmann, David E., et al.. (1994). Shear and compression perpendicular to grain property estimation for 2400f MSR lumber. Forest Products Journal. 44(3). 75–81. 1 indexed citations

16.

Kretschmann, David E., et al.. (1994). Moisture content and the properties of clear southern pine. 19 indexed citations

17.

Kretschmann, David E., et al.. (1994). Moisture content and the properties of clear southern pine. Forest Service research paper. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations

18.

Kretschmann, David E. & B. A. Bendtsen. (1992). Ultimate Tensile Stress and Modulus of Elasticity of Fast-Grown Plantation Loblolly Pine Lumber. Wood and Fiber Science. 24(2). 189–203. 48 indexed citations

19.

Kretschmann, David E.. (1991). Feasibility study of a modified ASTM D 143 block shear specimen for thin material. Forest Products Journal. 41(3). 37–39. 1 indexed citations

20.

Kretschmann, David E., et al.. (1990). Stress class systems. An idea whose time has come. 4 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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