Steve DeNeefe

About

Steve DeNeefe is a scholar working on Artificial Intelligence, General Agricultural and Biological Sciences and Agronomy and Crop Science. According to data from OpenAlex, Steve DeNeefe has authored 5 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 0 papers in General Agricultural and Biological Sciences and 0 papers in Agronomy and Crop Science. Recurrent topics in Steve DeNeefe’s work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Algorithms and Data Compression (2 papers). Steve DeNeefe is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Algorithms and Data Compression (2 papers). Steve DeNeefe collaborates with scholars based in United States. Steve DeNeefe's co-authors include Kevin Knight, Daniel Marcu, Wei Wang, Michel Galley, Jonathan Graehl and Ulf Hermjakob and has published in prestigious journals such as Empirical Methods in Natural Language Processing, Columbia Academic Commons (Columbia University) and IWSLT.

In The Last Decade

Co-authorship network of co-authors of Steve DeNeefe

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

Steve DeNeefe

5 papers receiving 196 citations

Fields of papers citing papers by Steve DeNeefe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Steve DeNeefe

Since Specialization

Citations

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

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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