M. J. Shaffer

2.1k total citations
41 papers, 1.2k citations indexed

About

M. J. Shaffer is a scholar working on Soil Science, Environmental Chemistry and Plant Science. According to data from OpenAlex, M. J. Shaffer has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Soil Science, 16 papers in Environmental Chemistry and 13 papers in Plant Science. Recurrent topics in M. J. Shaffer's work include Soil Carbon and Nitrogen Dynamics (20 papers), Soil and Water Nutrient Dynamics (16 papers) and Soil and Unsaturated Flow (8 papers). M. J. Shaffer is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (20 papers), Soil and Water Nutrient Dynamics (16 papers) and Soil and Unsaturated Flow (8 papers). M. J. Shaffer collaborates with scholars based in United States, China and France. M. J. Shaffer's co-authors include W. E. Larson, Liwang Ma, J. A. E. Molina, M. K. Brodahl, F. W. Chichester, C. E. Clapp, Jorge A. Delgado, James C. Ascough, Bruce K. Wylie and Lajpat R. Ahuja and has published in prestigious journals such as Soil Science Society of America Journal, Agricultural and Forest Meteorology and Journal of Environmental Quality.

In The Last Decade

M. J. Shaffer

40 papers receiving 997 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. J. Shaffer United States	21	638	429	320	230	198	41	1.2k
C. D. A. McLay New Zealand	18	626 1.0×	503 1.2×	268 0.8×	210 0.9×	237 1.2×	27	1.4k
H. E. Jensen Russia	18	580 0.9×	257 0.6×	340 1.1×	154 0.7×	243 1.2×	33	1.2k
D. E. Rolston United States	19	452 0.7×	339 0.8×	275 0.9×	97 0.4×	230 1.2×	44	1.1k
M. R. Laverdière Canada	20	874 1.4×	371 0.9×	272 0.8×	112 0.5×	195 1.0×	69	1.4k
M. I. Khalil Ireland	21	814 1.3×	618 1.4×	329 1.0×	184 0.8×	167 0.8×	66	1.5k
Darrell G. Watts United States	20	422 0.7×	203 0.5×	417 1.3×	165 0.7×	169 0.9×	40	1.0k
C. S. Tan Canada	16	762 1.2×	301 0.7×	370 1.2×	234 1.0×	146 0.7×	45	1.2k
Oswald Van Cleemput Belgium	9	674 1.1×	701 1.6×	159 0.5×	181 0.8×	232 1.2×	28	1.5k
D. Quı́lez Spain	20	651 1.0×	339 0.8×	211 0.7×	292 1.3×	120 0.6×	49	1.1k
Thomas S. Colvin United States	13	821 1.3×	629 1.5×	495 1.5×	314 1.4×	332 1.7×	20	1.7k

Countries citing papers authored by M. J. Shaffer

Since Specialization

Citations

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

Fields of papers citing papers by M. J. Shaffer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. J. Shaffer

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

Shaffer, M. J., et al.. (2008). Methodology of Calibration for Nucleonic Multiphase Meter Technology for SAGD Extra Heavy Oil. 5 indexed citations

Delgado, Jorge A., M. J. Shaffer, Changlu Hu, et al.. (2007). An index approach to assess nitrogen losses to the environment. Ecological Engineering. 32(2). 108–120. 52 indexed citations

Shaffer, M. J., P.N.S. Bartling, & Gregory S. McMaster. (2004). GPFARM modeling of corn yield and residual soil nitrate-N. Computers and Electronics in Agriculture. 43(2). 87–107. 10 indexed citations

McMaster, Gregory S., James C. Ascough, M. J. Shaffer, et al.. (2003). GPFARM PLANT MODEL PARAMETERS: COMPLICATIONS OF VARIETIES AND THE GENOTYPE ..ENVIRONMENT INTERACTION IN WHEAT. Transactions of the ASAE. 46(5). 14 indexed citations

Shaffer, M. J.. (2002). Nitrogen modeling for soil management. Journal of Soil and Water Conservation. 57(6). 417–425. 21 indexed citations

Shaffer, M. J., et al.. (2002). Simulating Interactive Effects of Symbiotic Nitrogen Fixation, Carbon Dioxide Elevation, and Climatic Change on Legume Growth. Journal of Environmental Quality. 31(2). 634–634. 5 indexed citations

Shaffer, M. J., et al.. (2001). REGIONAL NITRATE LEACHING VARIABILITY: WHAT MAKES A DIFFERENCE IN NORTHEASTERN COLORADO. JAWRA Journal of the American Water Resources Association. 37(1). 139–150. 56 indexed citations

Shaffer, M. J., P.N.S. Bartling, & James C. Ascough. (2000). Object-oriented simulation of integrated whole farms: GPFARM framework. Computers and Electronics in Agriculture. 28(1). 29–49. 35 indexed citations

Ma, Liwang, et al.. (2000). ROOT ZONE WATER QUALITY MODEL SENSITIVITY ANALYSIS USING MONTE CARLO SIMULATION. Transactions of the ASAE. 43(4). 883–895. 87 indexed citations

10.

Ma, Liwang, H. D. Scott, M. J. Shaffer, & Lajpat R. Ahuja. (1998). RZWQM SIMULATIONS OF WATER AND NITRATE MOVEMENT IN A MANURED TALL FESCUE FIELD. Soil Science. 163(4). 259–270. 35 indexed citations

11.

Ma, Liwang, M. J. Shaffer, L. R. Ahuja, et al.. (1998). Manure Management in an Irrigated Silage Corn Field: Experiment and Modeling. Soil Science Society of America Journal. 62(4). 1006–1017. 54 indexed citations

12.

Delgado, Jorge A., M. J. Shaffer, & M. K. Brodahl. (1998). New NLEAP for shallow and deep rooted rotations: Irrigated agriculture in the San Luis Valley of south central Colorado. Journal of Soil and Water Conservation. 53(4). 338–340. 22 indexed citations

13.

Delgado, Jorge A., et al.. (1998). NLEAP facts about nitrogen management. Journal of Soil and Water Conservation. 53(4). 332–337. 19 indexed citations

14.

Wylie, Bruce K., et al.. (1995). REGIONAL ASSESSMENT OF NLEAP NO₃‐N LEACHING INDICES¹. JAWRA Journal of the American Water Resources Association. 31(3). 399–408. 21 indexed citations

15.

Ball, Daniel A. & M. J. Shaffer. (1993). Simulating resource competition in multispecies agricultural plant communities. Weed Research. 33(4). 299–310. 29 indexed citations

16.

Radke, J. K., et al.. (1991). Application of the nitrogen-tillage-residue-management (NTRM) model for corn grown in low-input and conventional agricultural systems. Ecological Modelling. 55(3-4). 241–255. 7 indexed citations

17.

Swan, J.B., J. A. Staricka, M. J. Shaffer, W. H. Paulson, & A. E. Peterson. (1990). Corn Yield Response to Water Stress, Heat Units, and Management: Model Development and Calibration. Soil Science Society of America Journal. 54(1). 209–216. 15 indexed citations

18.

Swan, J.B., M. J. Shaffer, W. H. Paulson, & A. E. Peterson. (1987). Simulating the Effects of Soil Depth and Climatic Factors on Corn Yield. Soil Science Society of America Journal. 51(4). 1025–1032. 38 indexed citations

19.

Clanton, C. J., D. C. Slack, & M. J. Shaffer. (1986). Evaluation of the NTRM Model for Land Application of Wastewater. Transactions of the ASAE. 29(5). 1307–1313. 3 indexed citations

20.

Gupta, S. C., J. K. Radke, W. E. Larson, & M. J. Shaffer. (1982). Predicting Temperatures of Bare‐ and Residue‐covered Soils from Daily Maximum and Minimum Air Temperatures. Soil Science Society of America Journal. 46(2). 372–376. 24 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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