Lawrence Neal

1.0k total citations
4 papers, 297 citations indexed

About

Lawrence Neal is a scholar working on Developmental Biology, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Lawrence Neal has authored 4 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Developmental Biology, 2 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Lawrence Neal's work include Music and Audio Processing (2 papers), Animal Vocal Communication and Behavior (2 papers) and Reinforcement Learning in Robotics (2 papers). Lawrence Neal is often cited by papers focused on Music and Audio Processing (2 papers), Animal Vocal Communication and Behavior (2 papers) and Reinforcement Learning in Robotics (2 papers). Lawrence Neal collaborates with scholars based in United States. Lawrence Neal's co-authors include Xiaoli Z. Fern, Forrest Briggs, Raviv Raich, Balaji Lakshminarayanan, Adam S. Hadley, Matthew G. Betts, Weng‐Keen Wong, Fuxin Li, Matthew Olson and Alan Fern and has published in prestigious journals such as The Journal of the Acoustical Society of America, Artificial Intelligence and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Lawrence Neal

4 papers receiving 282 citations

Peers

Lawrence Neal
Forrest Briggs United States
Rolf Bardeli Germany
Daniel Wolff United Kingdom
Yannic Kilcher Switzerland
Shahrzad Gholami United States
Bennet Vance United States
Tom Denton United States
Lawrence Neal
Citations per year, relative to Lawrence Neal Lawrence Neal (= 1×) peers Rafael Álvarez

Countries citing papers authored by Lawrence Neal

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Neal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence Neal

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

All Works

4 of 4 papers shown
1.
Olson, Matthew, et al.. (2021). Counterfactual state explanations for reinforcement learning agents via generative deep learning. Artificial Intelligence. 295. 103455–103455. 36 indexed citations
2.
Neal, Lawrence, et al.. (2019). Strategic Tasks for Explainable Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 10007–10008. 8 indexed citations
3.
Briggs, Forrest, Balaji Lakshminarayanan, Lawrence Neal, et al.. (2012). Acoustic classification of multiple simultaneous bird species: A multi-instance multi-label approach. The Journal of the Acoustical Society of America. 131(6). 4640–4650. 195 indexed citations
4.
Neal, Lawrence, Forrest Briggs, Raviv Raich, & Xiaoli Z. Fern. (2011). Time-frequency segmentation of bird song in noisy acoustic environments. 58 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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