Justin S. Smith

8.0k total citations · 6 hit papers
68 papers, 5.0k citations indexed

About

Justin S. Smith is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Surgery. According to data from OpenAlex, Justin S. Smith has authored 68 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Materials Chemistry, 22 papers in Computational Theory and Mathematics and 16 papers in Surgery. Recurrent topics in Justin S. Smith's work include Machine Learning in Materials Science (28 papers), Computational Drug Discovery Methods (22 papers) and Spinal Fractures and Fixation Techniques (14 papers). Justin S. Smith is often cited by papers focused on Machine Learning in Materials Science (28 papers), Computational Drug Discovery Methods (22 papers) and Spinal Fractures and Fixation Techniques (14 papers). Justin S. Smith collaborates with scholars based in United States, Russia and Canada. Justin S. Smith's co-authors include Olexandr Isayev, Adrián E. Roitberg, Benjamin Nebgen, Nicholas Lubbers, R.I. Zubatyuk, Kipton Barros, Sergei Tretiak, Christian Devereux, Jerzy Leszczyński and Xiang Gao and has published in prestigious journals such as Chemical Reviews, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Justin S. Smith

63 papers receiving 4.9k citations

Hit Papers

5 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.

ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost

2017 1.3k citations Justin S. Smith, Olexandr Isayev et al. Chemical Science profile →
Less is more: Sampling chemical space with active learning

2018 552 citations Justin S. Smith, Benjamin Nebgen et al. The Journal of Chemical Physics profile →
Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning

2019 480 citations Justin S. Smith, Benjamin Nebgen et al. Nature Communications profile →
Extending the Applicability of the ANI Deep Learning Molecular Potential to Sulfur and Halogens

2020 273 citations Justin S. Smith, Kipton Barros et al. profile →
The Aging of the Global Population

2015 269 citations Michael G. Fehlings, Lindsay Tetreault et al. Neurosurgery profile →
Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential

2024 74 citations Shuhao Zhang, Ryan B. Jadrich et al. Nature Chemistry profile →

Peers

Countries citing papers authored by Justin S. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Justin S. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin S. Smith. 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 Justin S. Smith. The network helps show where Justin S. Smith may publish in the future.

Co-authorship network of co-authors of Justin S. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Justin S. Smith. A scholar is included among the top collaborators of Justin S. Smith 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 Justin S. Smith. Justin S. Smith 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

#	Work	Indexed citations
1	Improving Bond Dissociations of Reactive Machine Learning Potentials through Physics-Constrained Data Augmentation 2025 ·Journal of Chemical Information and Modeling ·(unknown), Benjamin Nebgen, Alice E. A. Allen, Brenden W. Hamilton, (unknown), Justin S. Smith, Richard A. Messerly	6
2	Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential breakdown → 2024 ·Nature Chemistry ·Shuhao Zhang, (unknown), Ryan B. Jadrich, Elfi Kraka, Kipton Barros, Benjamin Nebgen, Sergei Tretiak, Olexandr Isayev, Nicholas Lubbers, Richard A. Messerly, Justin S. Smith	74
3	Durability of substantial clinical benefit leading to optimal outcomes in adult spinal deformity corrective surgery: a minimum 5-year analysis 2024 ·Journal of Neurosurgery Spine ·(unknown), Matthew S. Galetta, Nima Alan, (unknown), (unknown), (unknown), (unknown), (unknown), Renaud Lafage, (unknown), M. Burhan Janjua, Dean Chou, Justin S. Smith, Virginie Lafage, Andrew J. Schoenfeld, Daniel M. Sciubba, Andreas K. Demetriades, Peter G. Passias	1
4	The Conceptualization and Derivation of the Cervical Lordosis Distribution Index 2024 ·Spine ·Peter G. Passias, Tyler K. Williamson, (unknown), Justin S. Smith, Oscar Krol, Renaud Lafage, Breton Line, Bassel G. Diebo, Alan H. Daniels, Eric O. Klineberg, Robert K. Eastlack, Shay Bess, Frank Schwab, Christopher I. Shaffrey, Virginie Lafage, (unknown), (unknown)	0
5	Lightweight and effective tensor sensitivity for atomistic neural networks 2023 ·The Journal of Chemical Physics ·(unknown), Justin S. Smith, (unknown), Benjamin Nebgen, (unknown), Kipton Barros, Nicholas Lubbers	14
6	Molecular dynamics of high pressure tin phases: Empirical and machine learned interatomic potentials 2023 ·AIP conference proceedings ·(unknown), Benjamin Nebgen, Kipton Barros, Justin S. Smith, (unknown), Alice E. A. Allen, Aidan P. Thompson, Saryu Fensin, J. Matthew D. Lane	1
7	Quantification of Equine Stifle Passive Kinematics 2022 ·Veterinary and Comparative Orthopaedics and Traumatology ·(unknown), (unknown), (unknown), Justin S. Smith, (unknown), (unknown)	1
8	Primary Spinal Cord Astrocytomas: Two-Center Clinical Experience of Low- and High-Grade Lesions 2022 ·World Neurosurgery ·M. Harrison Snyder, Andy Wang, (unknown), (unknown), Ajay Chatrath, (unknown), Christopher I. Shaffrey, Justin S. Smith, Mark E. Shaffrey, Chun‐Po Yen, Avery L. Buchholz, (unknown), James Kryzanski, Julian K. Wu, Carl B. Heilman	1
9	Predicting phosphorescence energies and inferring wavefunction localization with machine learning 2021 ·Chemical Science ·Andrew E. Sifain, Levi Lystrom, Richard A. Messerly, Justin S. Smith, Benjamin Nebgen, Kipton Barros, Sergei Tretiak, Nicholas Lubbers, Brendan J. Gifford	18
10	Teaching a neural network to attach and detach electrons from molecules 2021 ·Nature Communications ·R.I. Zubatyuk, Justin S. Smith, Benjamin Nebgen, Sergei Tretiak, Olexandr Isayev	83
11	The ANI-1ccx and ANI-1x data sets, coupled-cluster and density functional theory properties for molecules 2020 ·Scientific Data ·Justin S. Smith, R.I. Zubatyuk, Benjamin Nebgen, Nicholas Lubbers, Kipton Barros, Adrián E. Roitberg, Olexandr Isayev, Sergei Tretiak	197
12	Development of predictive models for all individual questions of SRS-22R after adult spinal deformity surgery: a step toward individualized medicine 2019 ·European Spine Journal ·(unknown), Christopher P. Ames, (unknown), Justin S. Smith, Ferrán Pellisé, Michael P. Kelly, Jeffrey L. Gum, Ahmet Alanay, Emre Acaroğlu, Francisco Javier Sánchez Pérez-Grueso, Frank Kleinstück, Ibrahim Obeid, Alba Vila-Casademunt, Christopher I. Shaffrey, Douglas C. Burton, Virginie Lafage, Frank J. Schwab, Shay Bess, Miquel Serra‐Burriel	45
13	Using Computational Text Classification for Qualitative Research and Evaluation in Extension 2018 ·Journal of Extension ·Justin S. Smith, (unknown)	2
14	The Aging of the Global Population breakdown → 2015 ·Neurosurgery ·Michael G. Fehlings, Lindsay Tetreault, Anick Nater, (unknown), James S. Harrop, Tom Mroz, Carlo Santaguida, Justin S. Smith	269
15	CADENCE for Collaboration and Companionship with Robots. 2014 ·National Conference on Artificial Intelligence ·Crystal Chao, Justin S. Smith, Andrea L. Thomaz	1
16	Adult Degenerative Scoliosis Surgical Outcomes: A Systematic Review and Meta-analysis 2013 ·Spine Deformity ·Charles Gerald T. Ledonio, David W. Polly, Charles H. Crawford, Sue Duval, Justin S. Smith, Jacob M. Buchowski, Sharon C. Yson, A. Noelle Larson, Jonathan N. Sembrano, Edward Santos	15
17	Nonoperative Management of Cervical Myelopathy 2013 ·Spine ·John M. Rhee, Mohammed F. Shamji, William Mark Erwin, Richard J. Bransford, S. Tim Yoon, Justin S. Smith, Han Jo Kim, (unknown), Joseph R. Dettori, Alpesh A. Patel, Sukhvinder Kalsi‐Ryan	108
18	On asymptotic Assouad–Nagata dimension 2006 ·Topology and its Applications ·Alexander Dranishnikov, Justin S. Smith	17
19	On asymptotic dimension of countable Abelian groups 2005 ·Topology and its Applications ·Justin S. Smith	21
20	Genomic Organization and Mutation Analysis ofp73in Oligodendrogliomas with Chromosome 1 p-Arm Deletions 1998 ·Genomics ·Ming Mai, Haojie Huang, Chris Reed, Chiping Qian, Justin S. Smith, Benjamin Alderete, Robert B. Jenkins, Jeremy C. Smith, Wanguo Liu	62

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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