Paul Langston

3.4k total citations
63 papers, 2.8k citations indexed

About

Paul Langston is a scholar working on Computational Mechanics, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, Paul Langston has authored 63 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computational Mechanics, 18 papers in Mechanical Engineering and 15 papers in Ocean Engineering. Recurrent topics in Paul Langston's work include Granular flow and fluidized beds (37 papers), Mineral Processing and Grinding (11 papers) and Landslides and related hazards (10 papers). Paul Langston is often cited by papers focused on Granular flow and fluidized beds (37 papers), Mineral Processing and Grinding (11 papers) and Landslides and related hazards (10 papers). Paul Langston collaborates with scholars based in United Kingdom, Jordan and Ukraine. Paul Langston's co-authors include U. Tüzün, D. M. Heyes, Feras Y. Fraige, Nidal Hilal, B. N. Asmar, Víctor M. Starov, A.J. Matchett, Colin Webb, John Drury and George Z. Chen and has published in prestigious journals such as Journal of Colloid and Interface Science, Fuel and Advances in Colloid and Interface Science.

In The Last Decade

Paul Langston

60 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Langston United Kingdom 30 1.4k 742 685 461 348 63 2.8k
J. Bridgwater United Kingdom 40 3.2k 2.2× 845 1.1× 1.9k 2.8× 580 1.3× 651 1.9× 126 4.5k
Xiaodong Jia United Kingdom 34 803 0.6× 260 0.4× 864 1.3× 439 1.0× 675 1.9× 185 3.8k
Sergiy Antonyuk Germany 35 2.6k 1.9× 1.2k 1.6× 1.1k 1.6× 321 0.7× 439 1.3× 171 3.6k
Richard Turton United States 27 1.2k 0.9× 454 0.6× 741 1.1× 80 0.2× 132 0.4× 112 2.4k
Fernando Alonso-Marroquín Australia 25 829 0.6× 202 0.3× 177 0.3× 616 1.3× 355 1.0× 81 2.1k
N. Standish Australia 25 934 0.7× 233 0.3× 819 1.2× 391 0.8× 458 1.3× 64 2.2k
Clifford K. Ho United States 37 1.1k 0.8× 399 0.5× 2.5k 3.6× 699 1.5× 358 1.0× 274 5.9k
S.M. Iveson Australia 20 2.0k 1.4× 264 0.4× 1.2k 1.8× 224 0.5× 365 1.0× 55 2.8k
Leon R. Glicksman United States 37 2.1k 1.5× 550 0.7× 1.6k 2.3× 139 0.3× 289 0.8× 138 5.1k
Bruno Blais Canada 20 963 0.7× 355 0.5× 360 0.5× 118 0.3× 112 0.3× 61 1.5k

Countries citing papers authored by Paul Langston

Since Specialization
Citations

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

Fields of papers citing papers by Paul Langston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Langston. 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 Paul Langston. The network helps show where Paul Langston may publish in the future.

Co-authorship network of co-authors of Paul Langston

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

All Works

20 of 20 papers shown
1.
Langston, Paul, et al.. (2017). Bayesian Deconvolution of Vessel Residence Time Distribution. International Journal of Chemical Reactor Engineering. 16(4).
2.
Jin, Changhyun, et al.. (2016). Statistics of highly heterogeneous flow fields confined to three-dimensional random porous media. Physical review. E. 93(1). 13122–13122. 10 indexed citations
3.
Langston, Paul, et al.. (2016). Flow instabilities in a horizontal thermosyphon reboiler loop. Experimental Thermal and Fluid Science. 78. 90–99. 12 indexed citations
4.
Habib, Muddasar, et al.. (2013). Discrete Element Modeling (DEM) of the Vertically Vibrated Particle Bed. Particulate Science And Technology. 32(3). 257–273. 2 indexed citations
5.
Fraige, Feras Y., Paul Langston, & Laila A. Al-Khatib. (2011). Polyhedral Particles Hopper Flowrate Predictions using Discrete Element Method. Chemical Product and Process Modeling. 6(1). 6 indexed citations
6.
Kovalchuk, Nina M., Víctor M. Starov, Paul Langston, & Nidal Hilal. (2009). Reversible coagulation of colloidal suspension in shallow potential wells: Direct numerical simulation. Colloid Journal. 71(4). 503–513. 7 indexed citations
7.
Langston, Paul, et al.. (2009). Modelling subgroup behaviour in crowd dynamics DEM simulation. Applied Mathematical Modelling. 33(12). 4408–4423. 84 indexed citations
8.
Drury, John, Chris Cocking, Steve Reicher, et al.. (2009). Cooperation versus competition in a mass emergency evacuation: A new laboratory simulation and a new theoretical model. Behavior Research Methods. 41(3). 957–970. 122 indexed citations
9.
Kovalchuk, Nina M., Víctor M. Starov, Paul Langston, & Nidal Hilal. (2008). Formation of stable clusters in colloidal suspensions. Advances in Colloid and Interface Science. 147-148. 144–154. 34 indexed citations
10.
Kovalchuk, Nina M., et al.. (2008). Colloidal dynamics: Influence of diffusion, inertia and colloidal forces on cluster formation. Journal of Colloid and Interface Science. 325(2). 377–385. 9 indexed citations
11.
Hilal, Nidal, et al.. (2007). Interaction forces between colloidal particles in liquid: Theory and experiment. Advances in Colloid and Interface Science. 134-135. 151–166. 426 indexed citations
12.
Langston, Paul, et al.. (2006). Crowd dynamics discrete element multi-circle model. Safety Science. 44(5). 395–417. 121 indexed citations
13.
Wood, R.J.K., T.F. Jones, Feras Y. Fraige, & Paul Langston. (2004). Particle distribution patterns in pipeflow for modelling wear. ePrints Soton (University of Southampton). 1 indexed citations
14.
Yanagida, Takeshi, A.J. Matchett, B. N. Asmar, et al.. (2003). Dynamic response of segregated two-phase systems subjected to low magnitude vibration and its application to non-invasive monitoring of a powder mixing transition process. Advanced Powder Technology. 14(5). 571–588. 2 indexed citations
15.
Lester, Edward, et al.. (2002). Determining the composition of binary coal blends using Bayes theorem. Fuel. 82(2). 117–125. 4 indexed citations
16.
Langston, Paul, Adam Burbidge, T.F. Jones, & Mark Simmons. (2001). Particle and droplet size analysis from chord measurements using Bayes' theorem. Powder Technology. 116(1). 33–42. 31 indexed citations
17.
Langston, Paul, et al.. (1997). Microstructural simulation and imaging of granular flows in two- and three-dimensional hoppers. Powder Technology. 94(1). 59–72. 38 indexed citations
18.
Langston, Paul, U. Tüzün, & D. M. Heyes. (1995). Discrete element simulation of granular flow in 2D and 3D hoppers: Dependence of discharge rate and wall stress on particle interactions. Chemical Engineering Science. 50(6). 967–987. 281 indexed citations
19.
Langston, Paul, U. Tüzün, & D. M. Heyes. (1994). Continuous potential discrete particle simulations of stress and velocity fields in hoppers: transition from fluid to granular flow. Chemical Engineering Science. 49(8). 1259–1275. 103 indexed citations
20.
Langston, Paul. (1986). Application of Advanced Composites in Civil Aircraft. SAE technical papers on CD-ROM/SAE technical paper series. 1.

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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