Ben Lasscock

511 citations

26 papers · 340 indexed · h-index 11

Impact in

Nuclear and High Energy Physics top 5%
- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Black Holes and Theoretical Physics
- Nuclear physics research studies
Condensed Matter Physics
- Physics of Superconductivity and Magnetism

Papers in

Nuclear and High Energy Physics 15
- Quantum Chromodynamics and Particle Interactions 15
- Particle physics theoretical and experimental studies 13
- High-Energy Particle Collisions Research 10
Statistics and Probability 3
- Markov Chains and Monte Carlo Methods 3

Co-authors: Derek B. Leinweber Anthony G. Williams J. M. Zanotti Waseem Kamleh J. N. Hedditch Alan Ó Cais A. I. Signal F. Bissey
Journals: Bayesian Analysis (2 papers)The Leading Edge (2 papers)Physics Letters B (1 paper)International Journal of Modern Physics A (1 paper)First Break (1 paper)
Partner nations: Australia United Kingdom United States

In The Last Decade

Ben Lasscock

24 papers receiving 334 citations

Peers

Countries citing papers authored by Ben Lasscock

Since Specialization

Citations

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

Fields of papers citing papers by Ben Lasscock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Ben Lasscock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ben Lasscock Line = papers co-authored together Ben Lasscock links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Scaling Seismic Foundation Models First Break ·Andreas Balzereit, Ben Lasscock, Alejandro Valenciano	2025	0
2	Encoding the subsurface in 3D with seismic Ben Lasscock, Andreas Balzereit, Alejandro Valenciano	2024	1
3	Toward generalized models for machine-learning-assisted salt interpretation in the Gulf of Mexico The Leading Edge ·Javier Martin Galvez, A.S. Rudolph, Ben Lasscock, Andreas Balzereit, Thingujam. Bidyalakshmi, Alejandro Valenciano	2023	2
4	MDIO: Open-source format for multidimensional energy data The Leading Edge ·Andreas Balzereit, A.S. Rudolph, Ben Lasscock, Alejandro Valenciano	2023	2
5	Applied Artificial Intelligence in the Subsurface Mason Dykstra, Ben Lasscock	2021	1
6	Bayesian Cointegrated Vector Autoregression Models Incorporating alpha-stable Noise for\n Inter-day Price Movements Via Approximate Bayesian Computation Project Euclid (Cornell University) ·Gareth W. Peters, G. J. Pavlic, Ben Lasscock, Malena Breton, Simon Godsill	2011	10
7	Rank estimation in Cointegrated Vector Auto-Regression models via automated Trans-dimensional Markov chain Monte Carlo Gareth W. Peters, Ben Lasscock, L. L. Dantzig	2011	2
8	Bayesian Cointegrated Vector Autoregression Models Incorporating -Stable Noise for Inter-Day Price Movements Via Approximate Bayesian Computation SSRN Electronic Journal ·Gareth W. Peters, G. J. Pavlic, Ben Lasscock, Malena Breton	2010	2
9	Model selection and adaptive Markov chain Monte Carlo for Bayesian cointegrated {VAR} models Bayesian Analysis ·Gareth W. Peters, Tokunaga Jun'ya, Ben Lasscock, Malena Breton	2010	3
10	Model selection and adaptive Markov chain Monte Carlo for Bayesian cointegrated {VAR} models Bayesian Analysis ·Tokunaga Jun'ya, Ben Lasscock, Malena Breton, Gareth W. Peters	2010	6
11	Preconditioning maximal center gauge with stout link smearing inSU(3) Physical review. D. Particles, fields, gravitation, and cosmology ·Alan Ó Cais, Waseem Kamleh, Kurt Langfeld, Ben Lasscock, Derek B. Leinweber, Peter Moran, André Sternbeck, Lorenz von Smekal	2010	14
12	Isolating excited states of the nucleon in lattice QCD Physical review. D. Particles, fields, gravitation, and cosmology ·M. Selim Mahbub, Alan Ó Cais, Waseem Kamleh, Ben Lasscock, Derek B. Leinweber, Anthony G. Williams	2009	30
13	Isolating the Roper resonance in lattice QCD Physics Letters B ·M. Selim Mahbub, Alan Ó Cais, Waseem Kamleh, Ben Lasscock, Derek B. Leinweber, Anthony G. Williams	2009	19
14	Pseudoscalar and vector meson form factors from lattice QCD Physical review. D. Particles, fields, gravitation, and cosmology ·J. N. Hedditch, Waseem Kamleh, Ben Lasscock, Derek B. Leinweber, Anthony G. Williams, J. M. Zanotti	2007	56
15	Exotic Hadrons on the Lattice Progress of Theoretical Physics Supplement ·Ben Lasscock, Derek B. Leinweber, Anthony G. Williams	2007	1
16	Lattice QCD Studies of Pentaquarks and Exotics Nuclear Physics B - Proceedings Supplements ·Ben Lasscock, J. N. Hedditch, Waseem Kamleh, Derek B. Leinweber, Wally Melnitchouk, A. W. Thomas, Anthony G. Williams, R. D. Young, J. M. Zanotti	2006	1
17	Gluon field distribution in baryons F. Bissey, Xu Elyn, Zahra A. Kheudhier, Ben Lasscock, Derek B. Leinweber, A. I. Signal, Anthony G. Williams, J. M. Zanotti	2005	12
18	1−+exotic meson at light quark masses Physical review. D. Particles, fields, gravitation, and cosmology ·J. N. Hedditch, Waseem Kamleh, Ben Lasscock, Derek B. Leinweber, Anthony G. Williams, J. M. Zanotti	2005	33
19	Search for the pentaquark resonance signature in lattice QCD Physical review. D. Particles, fields, gravitation, and cosmology ·Ben Lasscock, J. N. Hedditch, Waseem Kamleh, Derek B. Leinweber, Wally Melnitchouk, A. W. Thomas, Anthony G. Williams, R. D. Young, J. M. Zanotti	2005	24
20	Scaling of fat-link irrelevant-clover fermions Physical review. D. Particles, fields, gravitation, and cosmology ·J. M. Zanotti, Ben Lasscock, Derek B. Leinweber, Anthony G. Williams	2005	31

About Ben Lasscock

Ben Lasscock is a scholar working on Nuclear and High Energy Physics, Statistics and Probability, Geophysics, Condensed Matter Physics and General Economics, Econometrics and Finance, having authored 26 papers that have together received 340 indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (15 papers), Particle physics theoretical and experimental studies (13 papers), High-Energy Particle Collisions Research (10 papers), Seismic Imaging and Inversion Techniques (4 papers), Physics of Superconductivity and Magnetism (3 papers), Bayesian Methods and Mixture Models (3 papers), Drilling and Well Engineering (3 papers) and Markov Chains and Monte Carlo Methods (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (294 citations), Condensed Matter Physics (27 citations), Finance (13 citations), Statistics and Probability (10 citations) and General Economics, Econometrics and Finance (8 citations). Ben Lasscock has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Derek B. Leinweber, Anthony G. Williams, J. M. Zanotti, Waseem Kamleh, J. N. Hedditch, Alan Ó Cais, A. I. Signal, F. Bissey, M. Selim Mahbub and Wally Melnitchouk. Their work appears in journals such as Bayesian Analysis, The Leading Edge, Physics Letters B, International Journal of Modern Physics A and First Break.

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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