Armando Solar-Lezama
About
In The Last Decade
Armando Solar-Lezama
110 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 1.7k
- Information Systems 1.5k
- Software 1.5k
- Computer Networks and Communications 734
- Computational Theory and Mathematics 729
Countries citing papers authored by Armando Solar-Lezama
This map shows the geographic impact of Armando Solar-Lezama'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 Armando Solar-Lezama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armando Solar-Lezama more than expected).
Fields of papers citing papers by Armando Solar-Lezama
This network shows the impact of papers produced by Armando Solar-Lezama. 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 Armando Solar-Lezama. The network helps show where Armando Solar-Lezama may publish in the future.
Co-authorship network of co-authors of Armando Solar-Lezama
This figure shows the co-authorship network connecting the top 25 collaborators of Armando Solar-Lezama. A scholar is included among the top collaborators of Armando Solar-Lezama 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 Armando Solar-Lezama. Armando Solar-Lezama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 8 | |
| 3 | 81 | |
| 4 | Representing Partial Programs with Blended Abstract Semantics | 1 |
| 5 | Synthesizing Programmatic Policies that Inductively Generalize | 5 |
| 6 | Write, Execute, Assess: Program Synthesis with a REPL | 15 |
| 7 | Learning to Infer Graphics Programs from Hand-Drawn Images | 33 |
| 8 | Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections | 5 |
| 9 | Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction | 17 |
| 10 | Verifiable Reinforcement Learning via Policy Extraction | 22 |
| 11 | Sampling for Bayesian Program Learning | 11 |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 7 | |
| 15 | Using Program Analysis to Improve Database Applications. | 14 |
| 16 | Syntax-guided synthesis breakdown → | 257 |
| 17 | Syntax-guided synthesis | 45 |
| 18 | StatusQuo: Making Familiar Abstractions Perform Using Program Analysis | 17 |
| 19 | Combinatorial sketching for finite programs breakdown → | 379 |
| 20 | Report on the Experimental Language X10 | 10 |
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.