Thomas Burr

1.4k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Thomas Burr is a scholar working on Radiation, Aerospace Engineering and Materials Chemistry. According to data from OpenAlex, Thomas Burr has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiation, 3 papers in Aerospace Engineering and 3 papers in Materials Chemistry. Recurrent topics in Thomas Burr's work include Nuclear Physics and Applications (3 papers), Nuclear reactor physics and engineering (3 papers) and Stock Market Forecasting Methods (2 papers). Thomas Burr is often cited by papers focused on Nuclear Physics and Applications (3 papers), Nuclear reactor physics and engineering (3 papers) and Stock Market Forecasting Methods (2 papers). Thomas Burr collaborates with scholars based in United States, United Kingdom and Italy. Thomas Burr's co-authors include Andrea Favalli, Holly Trellue, J.S. Hendricks, Shraddha J. Vachhani, Surya R. Kalidindi, Stephen J Tobin, D. Henzlová, D. P. Brennan, John M. Finn and Siddhartha Pathak and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Physics of Plasmas.

In The Last Decade

Thomas Burr

5 papers receiving 991 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.

Pattern Recognition and Machine Learning

2008 791 citations Thomas Burr Journal of the American Statistical Association profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Burr United States	4	300	150	113	112	106	8	1.0k
Yoshinobu Kawahara Japan	19	338 1.1×	171 1.1×	178 1.6×	74 0.7×	82 0.8×	85	1.1k
Cheolwoo Park South Korea	23	273 0.9×	192 1.3×	90 0.8×	60 0.5×	144 1.4×	106	1.7k
Samaneh Aminikhanghahi United States	9	324 1.1×	202 1.3×	211 1.9×	114 1.0×	98 0.9×	14	1.0k
Jianhua Z. Huang United States	15	230 0.8×	234 1.6×	116 1.0×	101 0.9×	64 0.6×	55	1.3k
William Lefebvre France	5	256 0.9×	65 0.4×	88 0.8×	126 1.1×	43 0.4×	13	830
Olga Valenzuela Spain	18	462 1.5×	163 1.1×	88 0.8×	157 1.4×	67 0.6×	84	1.1k
Chaoqun Ma China	4	517 1.7×	235 1.6×	173 1.5×	142 1.3×	71 0.7×	5	1.3k
Siddharth Sharma United States	7	229 0.8×	118 0.8×	42 0.4×	148 1.3×	87 0.8×	17	981
Rahul Mazumder United States	12	325 1.1×	283 1.9×	158 1.4×	46 0.4×	45 0.4×	36	1.3k
Yubin Yubin China	9	225 0.8×	118 0.8×	68 0.6×	75 0.7×	41 0.4×	48	1.0k

Countries citing papers authored by Thomas Burr

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Burr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Burr

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

All Works

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8 of 8 papers shown

1.

Henzlová, D., et al.. (2023). 252Cf yield calibration method for nuclear material accountancy and safeguards practitioners. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1056. 168648–168648.

2.

Vachhani, Shraddha J., Surya R. Kalidindi, Thomas Burr, & Siddhartha Pathak. (2021). Lamellar Level Correlations Between Mechanical Behavior and Composition in Mouse Bone. JOM. 73(10). 3034–3045. 1 indexed citations

3.

Finn, John M., et al.. (2021). Machine learning methods for probabilistic locked-mode predictors in tokamak plasmas. Physics of Plasmas. 28(8). 1 indexed citations

4.

Trellue, Holly, et al.. (2020). Spent fuel nondestructive assay integrated characterization from active neutron, passive neutron, and passive gamma. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 988. 164937–164937. 7 indexed citations

5.

Charlton, William, D. Henzlová, Holly Trellue, et al.. (2014). Monte Carlo Modeling of the Californium-Interrogation with Prompt Neutron (CIPN) Device for Spent Nuclear Fuel Measurements. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

6.

Burr, Thomas. (2008). Pattern Recognition and Machine Learning. Journal of the American Statistical Association. 103(482). 886–887. 791 indexed citations breakdown →

7.

Burr, Thomas. (2007). Modeling Financial Time Series With S—Plus. Technometrics. 49(1). 105–106. 219 indexed citations

8.

Burr, Thomas. (2004). Bayesian Inference: Parameter Estimation and Decisions. Technometrics. 46(2). 250–251. 5 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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