Daniel Tarlow

34 papers and 404 indexed citations i.

About

Daniel Tarlow is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Daniel Tarlow has authored 34 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Daniel Tarlow’s work include Machine Learning and Algorithms (11 papers), Machine Learning and Data Classification (8 papers) and Bayesian Modeling and Causal Inference (7 papers). Daniel Tarlow is often cited by papers focused on Machine Learning and Algorithms (11 papers), Machine Learning and Data Classification (8 papers) and Bayesian Modeling and Causal Inference (7 papers). Daniel Tarlow collaborates with scholars based in United States, Canada and United Kingdom. Daniel Tarlow's co-authors include Richard S. Zemel, Chris J. Maddison, Inmar E. Givoni, Tom Minka, Wei Yi, Miltiadis Allamanis, Andrew D. Gordon, David A. Ross, Ryan P. Adams and Brendan J. Frey and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and 2009 IEEE Conference on Computer Vision and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Daniel Tarlow i

Fields of papers citing papers by Daniel Tarlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Tarlow

Since Specialization
Citations

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