James Gattiker

1.9k total citations · 1 hit paper
26 papers, 1.1k citations indexed

About

James Gattiker is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, James Gattiker has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in James Gattiker's work include Advanced Multi-Objective Optimization Algorithms (5 papers), Probabilistic and Robust Engineering Design (4 papers) and Gaussian Processes and Bayesian Inference (4 papers). James Gattiker is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (5 papers), Probabilistic and Robust Engineering Design (4 papers) and Gaussian Processes and Bayesian Inference (4 papers). James Gattiker collaborates with scholars based in United States, United Kingdom and Canada. James Gattiker's co-authors include Dave Higdon, Brian J. Williams, Maria Rightley, Charles Nakhleh, Sing‐Tze Bow, Rangachar Kasturi, David Higdon, Leslie M. Moore, Michael D. McKay and Sallie Keller‐McNulty and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Technometrics.

In The Last Decade

James Gattiker

25 papers receiving 1.1k 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.

Computer Model Calibration Using High-Dimensional Output

2008 574 citations Dave Higdon, James Gattiker et al. 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
James Gattiker United States	12	394	284	247	162	129	26	1.1k
Fabrice Gamboa France	19	486 1.2×	176 0.6×	160 0.6×	112 0.7×	112 0.9×	79	1.3k
Jean‐Antoine Désidéri France	17	167 0.4×	267 0.9×	177 0.7×	55 0.3×	81 0.6×	81	1.3k
Robert Haimes United States	25	242 0.6×	289 1.0×	74 0.3×	54 0.3×	176 1.4×	109	2.0k
Herbert K. H. Lee United States	19	328 0.8×	608 2.1×	655 2.7×	353 2.2×	44 0.3×	47	1.5k
Luca Martino Spain	28	236 0.6×	99 0.3×	1.0k 4.1×	128 0.8×	166 1.3×	107	2.1k
Paul G. Constantine United States	22	871 2.2×	438 1.5×	163 0.7×	105 0.6×	47 0.4×	54	1.6k
Olivier Roustant France	16	571 1.4×	589 2.1×	326 1.3×	348 2.1×	20 0.2×	52	1.3k
Akira Oyama Japan	25	172 0.4×	581 2.0×	308 1.2×	94 0.6×	33 0.3×	202	2.2k
Omar Ghattas United States	20	191 0.5×	197 0.7×	185 0.7×	39 0.2×	37 0.3×	38	1.5k
John A. Cafeo United States	7	489 1.2×	356 1.3×	205 0.8×	197 1.2×	17 0.1×	28	1.0k

Countries citing papers authored by James Gattiker

Since Specialization

Citations

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

Fields of papers citing papers by James Gattiker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Gattiker

This figure shows the co-authorship network connecting the top 25 collaborators of James Gattiker. A scholar is included among the top collaborators of James Gattiker 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 James Gattiker. James Gattiker 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

Dickman, L. Turin, et al.. (2025). ForestAlign: Automatic forest structure-based alignment for multi-view TLS and ALS point clouds. Science of Remote Sensing. 11. 100194–100194. 1 indexed citations

Wion, Andreas P., James Gattiker, J. Kevin Hiers, et al.. (2025). Representing 3-dimensional fuels for physics-based fire behavior models: a general framework and case study in a type-converted post-fire shrubfield. Fire Ecology. 21(1).

Sansó, Bruno, et al.. (2023). Comparing emulation methods for a high‐resolution storm surge model. Environmetrics. 34(3). 3 indexed citations

Selby, Hugh D., Susan K. Hanson, Warren J. Oldham, et al.. (2021). A New Yield Assessment for the Trinity Nuclear Test, 75 Years Later. Nuclear Technology. 207(sup1). 321–325. 8 indexed citations

Osthus, Dave, James Gattiker, Reid Priedhorsky, & Sara Y. Del Valle. (2018). Dynamic Bayesian Influenza Forecasting in the United States with Hierarchical Discrepancy (with Discussion). Bayesian Analysis. 14(1). 37 indexed citations

Challenor, Peter, Doug McNeall, & James Gattiker. (2018). The new macroeconometrics: A Bayesian approach. Oxford University Press eBooks. 7 indexed citations

Gattiker, James, et al.. (2017). Modeling Effects of Annealing on Coal Char Reactivity to O₂ and CO₂, Based on Preparation Conditions. Energy & Fuels. 31(10). 10727–10744. 6 indexed citations

Gattiker, James, et al.. (2017). Efficient sampling on the simplex with a self-adjusting logit transform proposal. Journal of Statistical Computation and Simulation. 87(18). 3521–3536. 4 indexed citations

Gattiker, James, Michael S. Hamada, David Higdon, Matthias Schonlau, & William J. Welch. (2015). Using a Gaussian Process as a Nonparametric Regression Model. Quality and Reliability Engineering International. 32(2). 673–680. 5 indexed citations

10.

Pratola, Matthew T., et al.. (2014). Parallel Bayesian Additive Regression Trees. Journal of Computational and Graphical Statistics. 23(3). 830–852. 40 indexed citations

11.

McNeall, Doug, Peter Challenor, James Gattiker, & E. J. Stone. (2013). The potential of an observational data set for calibration of a computationally expensive computer model. Geoscientific model development. 6(5). 1715–1728. 23 indexed citations

12.

Higdon, Dave, James Gattiker, Earl Lawrence, et al.. (2013). Computer Model Calibration Using the Ensemble Kalman Filter. Technometrics. 55(4). 488–500. 20 indexed citations

13.

Higdon, Dave, James Gattiker, Brian J. Williams, & Maria Rightley. (2008). Computer Model Calibration Using High-Dimensional Output. Journal of the American Statistical Association. 103(482). 570–583. 574 indexed citations breakdown →

14.

Gattiker, James & Dave Higdon. (2008). Comment on article by Sansó et al. [MR2383247]. Bayesian Analysis. 3(1). 1 indexed citations

15.

Burr, Tom, et al.. (2007). Alarm criteria in radiation portal monitoring. Applied Radiation and Isotopes. 65(5). 569–580. 19 indexed citations

16.

Gattiker, James, Dave Higdon, Sallie Keller‐McNulty, et al.. (2006). Combining experimental data and computer simulations, with an application to flyer plate experiments. Bayesian Analysis. 1(4). 63 indexed citations

17.

Gattiker, James, et al.. (2002). Visual reverse engineering using SPNs for automated testing and diagnosis of digital circuits. 236–242. 2 indexed citations

18.

Bourbakis, N., George Bebis, & James Gattiker. (2002). A synergistic model for interpreting human activities and events from video: a case study. 132–139. 2 indexed citations

19.

Burr, Tom, James Gattiker, & Greggory S. LaBerge. (2001). Genetic subtyping using cluster analysis. ACM SIGKDD Explorations Newsletter. 3(1). 33–42. 2 indexed citations

20.

Kasturi, Rangachar, et al.. (1990). A system for interpretation of line drawings. IEEE Transactions on Pattern Analysis and Machine Intelligence. 12(10). 978–992. 136 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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