Alp Kucukelbir

4.8k total citations · 1 hit paper
9 papers, 1.5k citations indexed

About

Alp Kucukelbir is a scholar working on Structural Biology, Artificial Intelligence and Surfaces, Coatings and Films. According to data from OpenAlex, Alp Kucukelbir has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Structural Biology, 3 papers in Artificial Intelligence and 3 papers in Surfaces, Coatings and Films. Recurrent topics in Alp Kucukelbir's work include Electron and X-Ray Spectroscopy Techniques (3 papers), Advanced Electron Microscopy Techniques and Applications (3 papers) and Gaussian Processes and Bayesian Inference (3 papers). Alp Kucukelbir is often cited by papers focused on Electron and X-Ray Spectroscopy Techniques (3 papers), Advanced Electron Microscopy Techniques and Applications (3 papers) and Gaussian Processes and Bayesian Inference (3 papers). Alp Kucukelbir collaborates with scholars based in United States, China and Canada. Alp Kucukelbir's co-authors include Hemant D. Tagare, Fred J. Sigworth, David M. Blei, Jon McAuliffe, Hongwei Wang, Murali Rao, Konstantinos N. Plataniotis, Azadeh Kushki, Achille Nazaret and Zhaoran Wang and has published in prestigious journals such as Nature Methods, Journal of Structural Biology and Figshare.

In The Last Decade

Alp Kucukelbir

9 papers receiving 1.5k citations

Hit Papers

Quantifying the local resolution of cryo-EM density maps 2013 2026 2017 2021 2013 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alp Kucukelbir United States 4 1.1k 285 175 144 132 9 1.5k
Toshio Moriya Japan 19 932 0.9× 280 1.0× 137 0.8× 102 0.7× 78 0.6× 68 1.7k
Muyuan Chen United States 19 810 0.8× 331 1.2× 145 0.8× 153 1.1× 157 1.2× 40 1.4k
Daniel Roderer Germany 14 831 0.8× 210 0.7× 102 0.6× 170 1.2× 118 0.9× 22 1.2k
Markus Stabrin Germany 8 764 0.7× 320 1.1× 105 0.6× 101 0.7× 74 0.6× 10 1.2k
Rubén Sánchez-García Spain 11 760 0.7× 163 0.6× 133 0.8× 91 0.6× 120 0.9× 28 1.2k
Arne Moeller Germany 23 1.4k 1.3× 335 1.2× 156 0.9× 210 1.5× 135 1.0× 59 2.3k
Josué Gómez-Blanco Spain 18 1.1k 1.1× 421 1.5× 199 1.1× 200 1.4× 227 1.7× 31 1.9k
Dennis Quentin Germany 9 699 0.7× 194 0.7× 80 0.5× 196 1.4× 85 0.6× 9 1.2k
Felipe Merino Germany 23 1.4k 1.3× 364 1.3× 218 1.2× 185 1.3× 98 0.7× 32 2.2k
Derek J. Taylor United States 24 1.9k 1.8× 165 0.6× 97 0.6× 221 1.5× 150 1.1× 68 2.4k

Countries citing papers authored by Alp Kucukelbir

Since Specialization
Citations

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

Fields of papers citing papers by Alp Kucukelbir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alp Kucukelbir

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

All Works

9 of 9 papers shown
1.
Blei, David M., et al.. (2024). Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees. 118296–118325. 1 indexed citations
2.
Blei, David M., Alp Kucukelbir, & Jon McAuliffe. (2023). Variational Inference: A Review for Statisticians. Figshare. 46 indexed citations
3.
Williams, Bryan M., et al.. (2020). Accelerating Product Chemistry Refinement Using Machine Learning. 1886–1895. 1 indexed citations
4.
Kucukelbir, Alp, Zhaoran Wang, & David M. Blei. (2017). Evaluating Bayesian Models with Posterior Dispersion Indices. International Conference on Machine Learning. 1925–1934. 1 indexed citations
5.
Kucukelbir, Alp & David M. Blei. (2015). Population empirical Bayes. Uncertainty in Artificial Intelligence. 444–453. 2 indexed citations
6.
Tagare, Hemant D., Alp Kucukelbir, Fred J. Sigworth, Hongwei Wang, & Murali Rao. (2015). Directly reconstructing principal components of heterogeneous particles from cryo-EM images. Journal of Structural Biology. 191(2). 245–262. 51 indexed citations
7.
Kucukelbir, Alp, Fred J. Sigworth, & Hemant D. Tagare. (2013). Quantifying the local resolution of cryo-EM density maps. Nature Methods. 11(1). 63–65. 1403 indexed citations breakdown →
8.
Kucukelbir, Alp, Fred J. Sigworth, & Hemant D. Tagare. (2012). A Bayesian adaptive basis algorithm for single particle reconstruction. Journal of Structural Biology. 179(1). 56–67. 16 indexed citations
9.
Kucukelbir, Alp, Azadeh Kushki, & Konstantinos N. Plataniotis. (2009). A new stochastic estimator for tremor frequency tracking. 421–424. 2 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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