Kyle M. Lang

6.6k total citations · 6 hit papers
51 papers, 5.0k citations indexed

About

Kyle M. Lang is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Statistics and Probability. According to data from OpenAlex, Kyle M. Lang has authored 51 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Condensed Matter Physics, 10 papers in Atomic and Molecular Physics, and Optics and 10 papers in Statistics and Probability. Recurrent topics in Kyle M. Lang's work include Physics of Superconductivity and Magnetism (13 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Condensed Matter Physics (6 papers). Kyle M. Lang is often cited by papers focused on Physics of Superconductivity and Magnetism (13 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Condensed Matter Physics (6 papers). Kyle M. Lang collaborates with scholars based in United States, Netherlands and Japan. Kyle M. Lang's co-authors include J. C. Davis, Hiroshi Eisaki, S. Uchida, Eric Hudson, Todd D. Little, Jennifer E. Hoffman, Vidya Madhavan, E. Whitney G. Moore, Terrence D. Jorgensen and John M. Martinis and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Kyle M. Lang

51 papers receiving 4.8k citations

Hit Papers

Microscopic electronic in... 2001 2026 2009 2017 2001 2002 2002 2013 2002 200 400 600
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.

  1. Microscopic electronic inhomogeneity in the high-Tc superconductor Bi2Sr2CaCu2O8+x
    2001 642 citations S. H. Pan, Jared O’Neal et al. Nature profile →
  2. A Four Unit Cell Periodic Pattern of Quasi-Particle States Surrounding Vortex Cores in Bi 2 Sr 2 CaCu 2 O 8+δ
    2002 637 citations Jennifer E. Hoffman, Eric Hudson et al. profile →
  3. Imaging the granular structure of high-Tc superconductivity in underdoped Bi2Sr2CaCu2O8+δ
    2002 559 citations Kyle M. Lang, Vidya Madhavan et al. Nature profile →
  4. On the Joys of Missing Data
    2013 502 citations Todd D. Little, Kyle M. Lang et al. profile →
  5. Imaging Quasiparticle Interference in Bi 2 Sr 2 CaCu 2 O 8+δ
    2002 437 citations Jennifer E. Hoffman, K. McElroy et al. profile →
  6. Decoherence in Josephson Phase Qubits from Junction Resonators
    2004 341 citations R. W. Simmonds, Kyle M. Lang et al. Physical Review Letters profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kyle M. Lang 2.8k 1.7k 1.6k 471 434 51 5.0k
Robert Joynt 2.9k 1.0× 3.4k 1.9× 1.1k 0.7× 857 1.8× 115 0.3× 246 8.1k
Thomas Wolf 725 0.3× 1000 0.6× 476 0.3× 753 1.6× 569 1.3× 146 5.2k
Uwe Hartmann 731 0.3× 2.1k 1.2× 1.1k 0.7× 65 0.1× 999 2.3× 360 6.7k
Michael J. Rice 973 0.3× 2.0k 1.1× 1.4k 0.8× 22 0.0× 488 1.1× 117 5.7k
J. J. Coleman 996 0.4× 4.8k 2.8× 447 0.3× 120 0.3× 120 0.3× 410 8.2k
J. P. Eisenstein 4.9k 1.7× 9.2k 5.3× 420 0.3× 393 0.8× 300 0.7× 139 11.1k
R. F. Willis 1.2k 0.4× 4.0k 2.3× 1.0k 0.6× 16 0.0× 143 0.3× 159 5.7k
Peter Johansson 263 0.1× 2.6k 1.5× 1.7k 1.1× 103 0.2× 470 1.1× 79 4.9k
Ulrich Köhler 501 0.2× 2.4k 1.4× 345 0.2× 23 0.0× 169 0.4× 216 6.4k
Thomas Maier 5.1k 1.8× 3.0k 1.7× 3.6k 2.3× 315 0.7× 15 0.0× 184 7.5k

Countries citing papers authored by Kyle M. Lang

Since Specialization
Citations

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

Fields of papers citing papers by Kyle M. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle M. Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle M. Lang. A scholar is included among the top collaborators of Kyle M. Lang 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 Kyle M. Lang. Kyle M. Lang 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.
Lang, Kyle M., et al.. (2023). Solving the many-variables problem in MICE with principal component regression. Behavior Research Methods. 56(3). 1715–1737. 12 indexed citations
2.
DeGue, Sarah, Phyllis Holditch Niolon, Lianne Fuino Estefan, et al.. (2020). Correction to: Effects of Dating Matters® on Sexual Violence and Sexual Harassment Outcomes among Middle School Youth: a Cluster-Randomized Controlled Trial. Prevention Science. 22(2). 186–186. 3 indexed citations
3.
DeGue, Sarah, Phyllis Holditch Niolon, Lianne Fuino Estefan, et al.. (2020). Effects of Dating Matters® on Sexual Violence and Sexual Harassment Outcomes among Middle School Youth: a Cluster-Randomized Controlled Trial. Prevention Science. 22(2). 175–185. 39 indexed citations
4.
Estefan, Lianne Fuino, Alana M. Vivolo‐Kantor, Phyllis Holditch Niolon, et al.. (2020). Effects of the Dating Matters® Comprehensive Prevention Model on Health- and Delinquency-Related Risk Behaviors in Middle School Youth: a Cluster-Randomized Controlled Trial. Prevention Science. 22(2). 163–174. 21 indexed citations
5.
Lang, Kyle M., et al.. (2020). A novel item-allocation procedure for the three-form planned missing data design. MethodsX. 7. 100941–100941. 3 indexed citations
6.
Vivolo‐Kantor, Alana M., Phyllis Holditch Niolon, Lianne Fuino Estefan, et al.. (2020). Correction to: Middle School Effects of the Dating Matters® Comprehensive Teen Dating Violence Prevention Model on Physical Violence, Bullying, and Cyberbullying: A Cluster-Randomized Controlled Trial. Prevention Science. 22(2). 162–162. 4 indexed citations
7.
Vivolo‐Kantor, Alana M., Phyllis Holditch Niolon, Lianne Fuino Estefan, et al.. (2019). Middle School Effects of the Dating Matters® Comprehensive Teen Dating Violence Prevention Model on Physical Violence, Bullying, and Cyberbullying: a Cluster-Randomized Controlled Trial. Prevention Science. 22(2). 151–161. 40 indexed citations
8.
Niolon, Phyllis Holditch, Alana M. Vivolo‐Kantor, Allison J. Tracy, et al.. (2019). An RCT of Dating Matters: Effects on Teen Dating Violence and Relationship Behaviors. American Journal of Preventive Medicine. 57(1). 13–23. 101 indexed citations
9.
Lang, Kyle M. & Wei Wu. (2017). A Comparison of Methods for Creating Multiple Imputations of Nominal Variables. Multivariate Behavioral Research. 52(3). 290–304. 8 indexed citations
10.
Thompson, James R., Karrie A. Shogren, Hyojeong Seo, Michael L. Wehmeyer, & Kyle M. Lang. (2016). Creating a SIS—A Annual Review Protocol to Determine the Need for Reassessment. Intellectual and developmental disabilities. 54(3). 217–228. 2 indexed citations
11.
Seo, Hyojeong, Todd D. Little, Karrie A. Shogren, & Kyle M. Lang. (2016). On the Benefits of Latent Variable Modeling for Norming Scales: The Case of the "Supports Intensity Scale--Children's Version".. Grantee Submission. 40(4). 373–384. 2 indexed citations
12.
Lang, Kyle M. & Todd D. Little. (2016). Principled Missing Data Treatments. Prevention Science. 19(3). 284–294. 207 indexed citations
13.
Wu, Wei & Kyle M. Lang. (2015). Proportionality Assumption in Latent Basis Curve Models: A Cautionary Note. Structural Equation Modeling A Multidisciplinary Journal. 23(1). 140–154. 9 indexed citations
14.
Sander, Sandrine, Kyle M. Lang, Michael Bauer, et al.. (2011). Integrative nucleophosmin mutation-associated microRNA and gene expression pattern analysis identifies novel microRNA - target gene interactions in acute myeloid leukemia. Haematologica. 96(12). 1783–1791. 36 indexed citations
15.
McElroy, K., D.-H. Lee, Jennifer E. Hoffman, et al.. (2005). Coincidence of Checkerboard Charge Order and Antinodal State Decoherence in Strongly Underdoped SuperconductingBi2Sr2CaCu2O8+δ. Physical Review Letters. 94(19). 197005–197005. 306 indexed citations
16.
Simmonds, R. W., Kyle M. Lang, D. A. Hite, et al.. (2004). Decoherence in Josephson Phase Qubits from Junction Resonators. Physical Review Letters. 93(7). 77003–77003. 341 indexed citations breakdown →
17.
Lang, Kyle M., Vidya Madhavan, Jennifer E. Hoffman, et al.. (2002). Imaging the granular structure of high-Tc superconductivity in underdoped Bi2Sr2CaCu2O8+δ. Nature. 415(6870). 412–416. 559 indexed citations breakdown →
18.
Hudson, Eric, Kyle M. Lang, S. H. Pan, et al.. (2002). Nanoscale One-Dimensional Scattering Resonances in the CuO Chains ofYBa2Cu3O6+x. Physical Review Letters. 88(9). 97002–97002. 80 indexed citations
19.
Hudson, Eric, Kyle M. Lang, Vidya Madhavan, et al.. (2001). Interplay of magnetism and high-Tc superconductivity at individual Ni impurity atoms in Bi2Sr2CaCu2O8+δ. Nature. 411(6840). 920–924. 260 indexed citations
20.
Pan, S. H., Jared O’Neal, Robert L. Badzey, et al.. (2001). Microscopic electronic inhomogeneity in the high-Tc superconductor Bi2Sr2CaCu2O8+x. Nature. 413(6853). 282–285. 642 indexed citations breakdown →

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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