Andy Davis

26.2k total citations · 1 hit paper
8 papers, 730 citations indexed

About

Andy Davis is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andy Davis has authored 8 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andy Davis's work include Parallel Computing and Optimization Techniques (2 papers), Computational Drug Discovery Methods (2 papers) and Advanced Neural Network Applications (2 papers). Andy Davis is often cited by papers focused on Parallel Computing and Optimization Techniques (2 papers), Computational Drug Discovery Methods (2 papers) and Advanced Neural Network Applications (2 papers). Andy Davis collaborates with scholars based in United States, United Kingdom and India. Andy Davis's co-authors include Jeremy G. Vinter, Martin Saunders, Albert Cohen, Chris Lattner, Oleksandr Zinenko, Jacques A. Pienaar, Mehdi Amini, Uday Bondhugula, Tatiana Shpeisman and Nicolas Vasilache and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Computer-Aided Molecular Design.

In The Last Decade

Andy Davis

8 papers receiving 694 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.

MLIR: Scaling Compiler Infrastructure for Domain Specific Computation

2021 252 citations Chris Lattner, Mehdi Amini et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andy Davis United States	6	197	170	158	113	102	8	730
An Wang China	13	138 0.7×	83 0.5×	123 0.8×	38 0.3×	87 0.9×	38	608
Yuri Alexeev United States	24	678 3.4×	160 0.9×	286 1.8×	115 1.0×	49 0.5×	88	1.7k
Saurabh Srivastava India	14	280 1.4×	106 0.6×	87 0.6×	40 0.4×	13 0.1×	52	766
Xianyi Zhang China	12	70 0.4×	216 1.3×	54 0.3×	22 0.2×	68 0.7×	37	577
Simon McIntosh‐Smith United Kingdom	20	94 0.5×	468 2.8×	207 1.3×	30 0.3×	60 0.6×	88	1.1k
Jonathan Greene United States	16	350 1.8×	412 2.4×	321 2.0×	74 0.7×	126 1.2×	30	1.4k
D. Wood Canada	17	354 1.8×	79 0.5×	172 1.1×	17 0.2×	97 1.0×	88	1000
Erwin Laure Sweden	17	75 0.4×	314 1.8×	113 0.7×	31 0.3×	33 0.3×	91	1.1k
Jinn‐Shyan Wang Taiwan	22	52 0.3×	321 1.9×	261 1.7×	48 0.4×	194 1.9×	142	1.6k
Jiahao Chen China	16	110 0.6×	17 0.1×	204 1.3×	115 1.0×	40 0.4×	52	932

Countries citing papers authored by Andy Davis

Since Specialization

Citations

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

Fields of papers citing papers by Andy Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andy Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Andy Davis. A scholar is included among the top collaborators of Andy Davis 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 Andy Davis. Andy Davis 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:

8 of 8 papers shown

1.

Wang, Shibo, Jinliang Wei, Amit Sabne, et al.. (2022). Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models. 93–106. 28 indexed citations

2.

Olier, Iván, Oghenejokpeme I. Orhobor, Tirtharaj Dash, et al.. (2021). Transformational machine learning: Learning how to learn from many related scientific problems. Proceedings of the National Academy of Sciences. 118(49). 17 indexed citations

3.

Heath, Michael S., et al.. (2021). Quantifying Acceptable Artefact Ranges for Dermatologic Classification Algorithms. SHILAP Revista de lepidopterología. 1(2). e19–e19. 1 indexed citations

4.

Lattner, Chris, Mehdi Amini, Uday Bondhugula, et al.. (2021). MLIR: Scaling Compiler Infrastructure for Domain Specific Computation. 2–14. 252 indexed citations breakdown →

5.

Shazeer, Noam, Azalia Mirhoseini, Krzysztof Maziarz, et al.. (2017). Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer. arXiv (Cornell University). 116 indexed citations

6.

Waltho, Jonathan P., Jeremy G. Vinter, Andy Davis, & D. H. Williams. (1988). Forces in molecular recognition: Comparison of experimental data and molecular mechanics calculations. Journal of Computer-Aided Molecular Design. 2(1). 31–41. 2 indexed citations

7.

Vinter, Jeremy G., Andy Davis, & Martin Saunders. (1987). Strategic approaches to drug design. I. An integrated software framework for molecular modelling. Journal of Computer-Aided Molecular Design. 1(1). 31–51. 285 indexed citations

8.

Davis, Andy, et al.. (1987). Strategic approaches to drug design. II. Modelling studies on phosphodiesterase substrates and inhibitors. Journal of Computer-Aided Molecular Design. 1(2). 97–119. 29 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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