L.D. Smoot

11.1k total citations · 3 hit papers
115 papers, 9.1k citations indexed

About

L.D. Smoot is a scholar working on Computational Mechanics, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, L.D. Smoot has authored 115 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computational Mechanics, 48 papers in Biomedical Engineering and 32 papers in Mechanical Engineering. Recurrent topics in L.D. Smoot's work include Combustion and flame dynamics (53 papers), Thermochemical Biomass Conversion Processes (47 papers) and Coal Combustion and Slurry Processing (23 papers). L.D. Smoot is often cited by papers focused on Combustion and flame dynamics (53 papers), Thermochemical Biomass Conversion Processes (47 papers) and Coal Combustion and Slurry Processing (23 papers). L.D. Smoot collaborates with scholars based in United States and Portugal. L.D. Smoot's co-authors include Philip J. Smith, David G. Sloan, Scott C. Hill, Paul O. Hedman, David T. Pratt, P. T. Radulovič, Michael L. Hobbs, Hongjie Xu, Thomas H. Fletcher and Katherine L. Smith and has published in prestigious journals such as Progress in Energy and Combustion Science, Energy and Fuel.

In The Last Decade

L.D. Smoot

113 papers receiving 8.6k 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.

Modeling of swirl in turbulent flow systems

1986 4.5k citations Philip J. Smith, L.D. Smoot et al. Progress in Energy and Combustion Science profile →
Coal Combustion and Gasification

1985 557 citations L.D. Smoot, Philip J. Smith profile →
Modeling of nitrogen oxides formation and destruction in combustion systems

2000 537 citations Scott C. Hill, L.D. Smoot Progress in Energy and Combustion Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L.D. Smoot United States	33	5.2k	4.4k	2.1k	2.0k	1.2k	115	9.1k
Stephen Whitaker United States	50	7.5k 1.4×	3.3k 0.8×	1.7k 0.8×	3.0k 1.5×	578 0.5×	168	13.1k
Rodney O. Fox United States	53	7.0k 1.3×	2.9k 0.7×	3.6k 1.7×	1.1k 0.6×	570 0.5×	265	10.8k
B.D. Nichols United States	10	8.5k 1.6×	1.8k 0.4×	2.2k 1.0×	2.5k 1.3×	1.2k 1.0×	22	12.4k
Thomas J. Hanratty United States	66	7.8k 1.5×	4.1k 0.9×	3.4k 1.7×	3.3k 1.7×	1.2k 1.0×	230	11.6k
R. I. Issa United Kingdom	23	5.0k 1.0×	1.4k 0.3×	1.1k 0.5×	1.3k 0.6×	1.4k 1.2×	51	7.0k
Hermann Schlichting Germany	11	5.5k 1.1×	1.8k 0.4×	913 0.4×	2.0k 1.0×	2.4k 2.0×	14	8.9k
J. H. Whitelaw United Kingdom	30	4.3k 0.8×	1.6k 0.4×	751 0.4×	2.8k 1.4×	1.7k 1.4×	129	7.1k
A. Williams United Kingdom	55	3.3k 0.6×	5.6k 1.3×	676 0.3×	1.4k 0.7×	927 0.8×	256	9.9k
Ahmed F. Ghoniem United States	54	6.5k 1.2×	4.0k 0.9×	674 0.3×	2.3k 1.1×	2.0k 1.7×	366	11.8k
Shuiqing Li China	49	2.8k 0.5×	2.5k 0.6×	1.5k 0.8×	1.2k 0.6×	735 0.6×	303	8.0k

Countries citing papers authored by L.D. Smoot

Since Specialization

Citations

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

Fields of papers citing papers by L.D. Smoot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L.D. Smoot

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Lewis, Randy S. & L.D. Smoot. (2017). Department: Chemical Engineering at Brigham Young University. Chemical Engineering Education. 51(2). 46–52.

2.

Smoot, L.D., et al.. (1999). PDF modeling of lean premixed combustion using in situ tabulated chemistry. Combustion and Flame. 119(3). 233–252. 23 indexed citations

3.

Smoot, L.D., et al.. (1998). Stochastic Modeling of CO and NO in Premixed Methane Combustion. Combustion and Flame. 113(1-2). 135–146. 21 indexed citations

4.

Rostam‐Abadi, Massoud, et al.. (1996). Combustion properties of coal-char blends: NO{sub x} emission characteristics. 41(3). 1132–1134. 2 indexed citations

5.

Smoot, L.D., et al.. (1996). A Computational Method for Determining Global Fuel-NO Rate Expressions. Part 1. Energy & Fuels. 10(5). 1036–1045. 32 indexed citations

6.

Smoot, L.D., et al.. (1995). Char oxidation at elevated pressures. Combustion and Flame. 100(4). 669–683. 122 indexed citations

7.

Smoot, L.D.. (1993). Fundamentals of coal combustion : for clean and efficient use. Elsevier eBooks. 111 indexed citations

8.

Hobbs, Michael L., P. T. Radulovič, & L.D. Smoot. (1993). Combustion and gasification of coals in fixed-beds. Progress in Energy and Combustion Science. 19(6). 505–586. 163 indexed citations

9.

Smoot, L.D., et al.. (1993). Development and application of an acid rain precursor model for practical furnaces. Energy & Fuels. 7(6). 786–795. 9 indexed citations

10.

Sowa, W. A., et al.. (1992). The sensitivity of entrained-flow coal gasification diffusion burners to changes in geometry. Fuel. 71(5). 593–604. 6 indexed citations

11.

White, William E., et al.. (1988). Surface and pore properties of ANL and PETC coals. 1 indexed citations

12.

Baxter, Larry, et al.. (1988). Role of coal devolatilization in comprehensive combustion models. 9(12). 15–15. 1 indexed citations

13.

Baxter, Larry, et al.. (1988). Treatment of coal devolatilization in comprehensive combustion modeling. Energy & Fuels. 2(4). 362–370. 32 indexed citations

14.

Hedman, Paul O., et al.. (1986). Effects of flame type and pressure on entrained coal gasification. Fuel. 65(11). 1511–1515. 19 indexed citations

15.

Smoot, L.D., et al.. (1986). Prediction of High-Intensity Pulverized Coal Combustion. Combustion Science and Technology. 45(3-4). 167–183. 16 indexed citations

16.

Smith, Philip J., L.D. Smoot, & Scott C. Hill. (1986). Effects of swirling flow on nitrogen oxide concentration in pulverized coal combustors. AIChE Journal. 32(11). 1917–1919. 6 indexed citations

17.

Smoot, L.D. & Philip J. Smith. (1985). Coal Combustion and Gasification. 557 indexed citations breakdown →

18.

Hill, Scott C., L.D. Smoot, & Philip J. Smith. (1985). Prediction of nitrogen oxide formation in turbulent coal flames. Symposium (International) on Combustion. 20(1). 1391–1400. 28 indexed citations

19.

Hedman, Paul O., et al.. (1982). Titanium as a tracer for determining coal burnout. 5 indexed citations

20.

Smoot, L.D., et al.. (1965). Regression rates of nonmetalized hybrid fuel systems. AIAA Journal. 3(8). 1408–1413. 80 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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