Bledar A. Konomi

472 total citations
19 papers, 269 citations indexed

About

Bledar A. Konomi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Environmental Engineering. According to data from OpenAlex, Bledar A. Konomi has authored 19 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 6 papers in Environmental Engineering. Recurrent topics in Bledar A. Konomi's work include Gaussian Processes and Bayesian Inference (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Bledar A. Konomi is often cited by papers focused on Gaussian Processes and Bayesian Inference (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Bledar A. Konomi collaborates with scholars based in United States, United Kingdom and Jordan. Bledar A. Konomi's co-authors include Guang Lin, Nicholas Zabaras, Ilias Bilionis, Georgios Karagiannis, Huiyan Sang, Bani K. Mallick, Emily L. Kang, Avik Sarkar, Xin Sun and Daniel C. Fisher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Bledar A. Konomi

18 papers receiving 257 citations

Peers

Countries citing papers authored by Bledar A. Konomi

Since Specialization

Citations

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

Fields of papers citing papers by Bledar A. Konomi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bledar A. Konomi. 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 Bledar A. Konomi. The network helps show where Bledar A. Konomi may publish in the future.

Co-authorship network of co-authors of Bledar A. Konomi

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

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	Bayesian Latent Variable Co-kriging Model in Remote Sensing for Quality Flagged Observations 2023 ·Journal of Agricultural Biological and Environmental Statistics ·Bledar A. Konomi, Emily L. Kang, (unknown), Jonathan Hobbs	1
2	Multifidelity Computer Model Emulation with High-Dimensional Output: An Application to Storm Surge 2022 ·Journal of the Royal Statistical Society Series C (Applied Statistics) ·(unknown), Georgios Karagiannis, Bledar A. Konomi, (unknown), Gabriel R. Toro, Andrew T. Cox	8
3	Ice model calibration using semicontinuous spatial data 2022 ·The Annals of Applied Statistics ·Won Chang, Bledar A. Konomi, Georgios Karagiannis, Yawen Guan, Murali Haran	3
4	Male mastodon landscape use changed with maturation (late Pleistocene, North America) 2022 ·Proceedings of the National Academy of Sciences ·Joshua H. Miller, Daniel C. Fisher, Brooke E. Crowley, Ross Secord, Bledar A. Konomi	14
5	Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments 2021 ·Technometrics ·(unknown), Anirban Mondal, Bledar A. Konomi, Jonathan Hobbs, Joon Jin Song, Emily L. Kang	8
6	Hierarchical Bayesian nearest neighbor co-kriging Gaussian process models; an application to intersatellite calibration 2021 ·Spatial Statistics ·(unknown), Bledar A. Konomi, Jessica L. Matthews, Georgios Karagiannis, Emily L. Kang	6
7	Bayesian Analysis of Multifidelity Computer Models With Local Features and Nonnested Experimental Designs: Application to the WRF Model 2020 ·Technometrics ·Bledar A. Konomi, Georgios Karagiannis	5
8	An additive approximate Gaussian process model for large spatio‐temporal data 2019 ·Environmetrics ·(unknown), Bledar A. Konomi, Emily L. Kang	8
9	Computationally efficient nonstationary nearest‐neighbor Gaussian process models using data‐driven techniques 2019 ·Environmetrics ·Bledar A. Konomi, (unknown), (unknown), Emily L. Kang	2
10	Bayesian Treed Calibration: An Application to Carbon Capture With AX Sorbent 2016 ·Journal of the American Statistical Association ·Bledar A. Konomi, Georgios Karagiannis, Kevin Lai, Guang Lin	8
11	Parallel and interacting stochastic approximation annealing algorithms for global optimisation 2016 ·Statistics and Computing ·Georgios Karagiannis, Bledar A. Konomi, Guang Lin, Faming Liang	2
12	A Bayesian mixed shrinkage prior procedure for spatial–stochastic basis selection and evaluation of gPC expansions: Applications to elliptic SPDEs 2015 ·Journal of Computational Physics ·Georgios Karagiannis, Bledar A. Konomi, Guang Lin	16
13	Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions 2015 ·Journal of Computational Physics ·(unknown), Bledar A. Konomi, Huiyan Sang, Georgios Karagiannis, Guang Lin	7
14	LOW-COST MULTI-DIMENSIONAL GAUSSIAN PROCESS WITH APPLICATION TO UNCERTAINTY QUANTIFICATION 2015 ·International Journal for Uncertainty Quantification ·Bledar A. Konomi, Guang Lin	0
15	On the Bayesian treed multivariate Gaussian process with linear model of coregionalization 2014 ·Journal of Statistical Planning and Inference ·Bledar A. Konomi, Georgios Karagiannis, Guang Lin	5
16	Bayesian Treed Multivariate Gaussian Process With Adaptive Design: Application to a Carbon Capture Unit 2014 ·Technometrics ·Bledar A. Konomi, Georgios Karagiannis, Avik Sarkar, Xin Sun, Guang Lin	20
17	Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification 2013 ·Journal of Computational Physics ·Ilias Bilionis, Nicholas Zabaras, Bledar A. Konomi, Guang Lin	111
18	Bayesian object classification of gold nanoparticles 2013 ·The Annals of Applied Statistics ·Bledar A. Konomi, Soma S. Dhavala, Jianhua Z. Huang, Subrata Kundu, David Huitink, Hong Liang, Yu Ding, Bani K. Mallick	13
19	Adaptive Bayesian Nonstationary Modeling for Large Spatial Datasets Using Covariance Approximations 2013 ·Journal of Computational and Graphical Statistics ·Bledar A. Konomi, Huiyan Sang, Bani K. Mallick	32

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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