M. D. Mays

1.4k total citations · 1 hit paper
18 papers, 1.0k citations indexed

About

M. D. Mays is a scholar working on Environmental Chemistry, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, M. D. Mays has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Chemistry, 6 papers in Water Science and Technology and 5 papers in Environmental Engineering. Recurrent topics in M. D. Mays's work include Soil and Water Nutrient Dynamics (7 papers), Hydrology and Watershed Management Studies (5 papers) and Soil Geostatistics and Mapping (5 papers). M. D. Mays is often cited by papers focused on Soil and Water Nutrient Dynamics (7 papers), Hydrology and Watershed Management Studies (5 papers) and Soil Geostatistics and Mapping (5 papers). M. D. Mays collaborates with scholars based in United States, India and Germany. M. D. Mays's co-authors include David J. Brown, Keith Shepherd, Markus Walsh, R. Burt, Michael A. Wilson, Francisco J. Arriaga, Birl Lowery, M. A. Elrashidi, András Bàrdossy and István Bogárdi and has published in prestigious journals such as Geoderma, Journal of Environmental Quality and Soil Science.

In The Last Decade

M. D. Mays

17 papers receiving 968 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Global soil characterization with VNIR diffuse reflectance spectroscopy

2005 600 citations David J. Brown, Keith Shepherd et al. Geoderma profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. D. Mays United States	10	596	442	273	178	171	18	1.0k
Ricardo Simão Diniz Dalmolin Brazil	19	736 1.2×	443 1.0×	686 2.5×	252 1.4×	299 1.7×	97	1.5k
Lianqing Zhou China	18	371 0.6×	493 1.1×	190 0.7×	113 0.6×	165 1.0×	60	1.6k
Tereza Zádorová Czechia	22	389 0.7×	165 0.4×	397 1.5×	128 0.7×	208 1.2×	50	1.2k
Yuanda Zhu United States	14	412 0.7×	394 0.9×	155 0.6×	95 0.5×	51 0.3×	19	746
Noura Bakr Egypt	15	324 0.5×	261 0.6×	215 0.8×	41 0.2×	235 1.4×	33	983
Michele Duarte de Menezes Brazil	20	488 0.8×	193 0.4×	314 1.2×	28 0.2×	148 0.9×	56	807
Chunfa Wu China	20	332 0.6×	164 0.4×	224 0.8×	33 0.2×	121 0.7×	37	1.1k
Kingsley John Czechia	19	362 0.6×	329 0.7×	148 0.5×	60 0.3×	102 0.6×	61	847
Line Boulonne France	14	527 0.9×	217 0.5×	505 1.8×	23 0.1×	192 1.1×	25	1.0k
Rodnei Rizzo Brazil	24	1.0k 1.7×	562 1.3×	393 1.4×	97 0.5×	405 2.4×	49	1.3k

Countries citing papers authored by M. D. Mays

Since Specialization

Citations

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

Fields of papers citing papers by M. D. Mays

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. D. Mays

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

All Works

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18 of 18 papers shown

Elrashidi, M. A., et al.. (2007). LOSS OF ALKALINE EARTH ELEMENTS BY RUNOFF FROM AGRICULTURAL WATERSHEDS. Soil Science. 172(4). 313–332. 5 indexed citations

Arriaga, Francisco J., Birl Lowery, & M. D. Mays. (2006). A FAST METHOD FOR DETERMINING SOIL PARTICLE SIZE DISTRIBUTION USING A LASER INSTRUMENT. Soil Science. 171(9). 663–674. 104 indexed citations

Nettleton, W. D. & M. D. Mays. (2006). Estimated Holocene soil carbon-soil degradation in Nevada and Western Utah, USA. CATENA. 69(3). 220–229. 1 indexed citations

Elrashidi, M. A., et al.. (2005). Changes in Release Characteristics and Runoff Phosphorus for Soils Amended with Manure. Communications in Soil Science and Plant Analysis. 36(13-14). 1851–1873. 1 indexed citations

Elrashidi, M. A., et al.. (2005). LOSS OF PHOSPHORUS BY RUNOFF FOR AGRICULTURAL WATERSHEDS. Soil Science. 170(7). 543–558. 15 indexed citations

Elrashidi, M. A., et al.. (2005). LOSS OF NITRATE-NITROGEN BY RUNOFF AND LEACHING FOR AGRICULTURAL WATERSHEDS. Soil Science. 170(12). 969–984. 28 indexed citations

Brown, David J., et al.. (2005). Global soil characterization with VNIR diffuse reflectance spectroscopy. Geoderma. 132(3-4). 273–290. 600 indexed citations breakdown →

Elrashidi, M. A., et al.. (2004). A Technique to Estimate Nitrate–Nitrogen Loss by Runoff and Leaching for Agricultural Land, Lancaster County, Nebraska. Communications in Soil Science and Plant Analysis. 35(17-18). 2593–2615. 17 indexed citations

Mays, M. D., W. D. Nettleton, Richard Greene, & Joseph A. Mason. (2003). Dispersibility of glacial loess in particle size analysis, USA. Australian Journal of Soil Research. 41(2). 229–244. 6 indexed citations

10.

Burt, R., et al.. (2003). Major and Trace Elements of Selected Pedons in the USA. Journal of Environmental Quality. 32(6). 2109–2121. 125 indexed citations

11.

Elrashidi, M. A., et al.. (2003). Assessment of Mehlich3 and Ammonium Bicarbonate‐DTPA Extraction for Simultaneous Measurement of Fifteen Elements in Soils. Communications in Soil Science and Plant Analysis. 34(19-20). 2817–2838. 32 indexed citations

12.

Elrashidi, M. A., et al.. (2003). A Technique To Estimate Release Characteristics And Runoff Phosphorus For Agricultural Land. Communications in Soil Science and Plant Analysis. 34(13-14). 1759–1790. 13 indexed citations

13.

Burt, R., et al.. (2002). Phosphorus characterization and correlation with properties of selected benchmark soils of the United States. Communications in Soil Science and Plant Analysis. 33(1-2). 117–141. 62 indexed citations

14.

Burt, R., et al.. (2000). Trace and major elemental analysis applications in the U.S. cooperative soil survey program. Communications in Soil Science and Plant Analysis. 31(11-14). 1757–1771. 6 indexed citations

15.

Galbraith, John M., et al.. (1999). Properties of the Riker Coal Ash Soil. Soil Survey Horizons. 40(4). 109–117. 1 indexed citations

16.

Mays, M. D., István Bogárdi, & András Bàrdossy. (1997). Fuzzy logic and risk-based soil interpretations. Geoderma. 77(2-4). 299–315. 21 indexed citations

17.

Burt, R. & M. D. Mays. (1996). Sample collection procedures for laboratory analysis in the United States soil survey program. Communications in Soil Science and Plant Analysis. 27(5-8). 1293–1298. 1 indexed citations

18.

Mays, M. D.. (1982). A COMPARISON OF MOLLISOLS FROM THREE DIFFERENT CLIMATIC REGIONS IN THE UNITED STATES (NEBRASKA, NEVADA, OREGON). Insecta mundi. 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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