Countries citing papers authored by Marc Brockschmidt
Since
Specialization
Citations
This map shows the geographic impact of Marc Brockschmidt'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 Marc Brockschmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Brockschmidt more than expected).
Fields of papers citing papers by Marc Brockschmidt
This network shows the impact of papers produced by Marc Brockschmidt. 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 Marc Brockschmidt. The network helps show where Marc Brockschmidt may publish in the future.
Co-authorship network of co-authors of Marc Brockschmidt
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Brockschmidt.
A scholar is included among the top collaborators of Marc Brockschmidt 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 Marc Brockschmidt. Marc Brockschmidt is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Maziarz, Krzysztof, et al.. (2021). FS-Mol: A Few-Shot Learning Dataset of Molecules. Neural Information Processing Systems.4 indexed citations
2.
Allamanis, Miltiadis, et al.. (2021). Copy That! Editing Sequences by Copying Spans. Proceedings of the AAAI Conference on Artificial Intelligence. 35(15). 13622–13630.14 indexed citations
Shin, Eui Chul Richard, Miltiadis Allamanis, Marc Brockschmidt, & Alex Polozov. (2019). Program Synthesis and Semantic Parsing with Learned Code Idioms. Neural Information Processing Systems. 32. 10825–10835.16 indexed citations
5.
Wang, Chenglong, Po-Sen Huang, Alex Polozov, Marc Brockschmidt, & Rishabh Singh. (2018). Execution-Guided Neural Program Decoding. arXiv (Cornell University).15 indexed citations
6.
Liu, Qi, Miltiadis Allamanis, Marc Brockschmidt, & Alexander L. Gaunt. (2018). Constrained Graph Variational Autoencoders for Molecule Design. arXiv (Cornell University). 31. 7795–7804.45 indexed citations
7.
Yin, Pengcheng, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, & Alexander L. Gaunt. (2018). Learning to Represent Edits.. arXiv (Cornell University).14 indexed citations
Li, Chengtao, Daniel Tarlow, Alexander L. Gaunt, Marc Brockschmidt, & Nate Kushman. (2016). Neural Program Lattices. International Conference on Learning Representations.7 indexed citations
12.
Gaunt, Alexander L., Marc Brockschmidt, Nate Kushman, & Daniel Tarlow. (2016). Lifelong Perceptual Programming By Example. arXiv (Cornell University).1 indexed citations
Brockschmidt, Marc, Fabian Emmes, Stephan Falke, Carsten Fuhs, & Jürgen Giesl. (2016). Analyzing Runtime and Size Complexity of Integer Programs. ACM Transactions on Programming Languages and Systems. 38(4). 1–50.22 indexed citations
15.
Balog, Matej, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, & Daniel Tarlow. (2016). DeepCoder: Learning to Write Programs. arXiv (Cornell University).96 indexed citations
16.
Brockschmidt, Marc, Yuxin Chen, Byron Cook, et al.. (2016). Learning to Verify the Heap.1 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.