Steve Hanks

About

Steve Hanks is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Steve Hanks has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 3 papers in Management Science and Operations Research. Recurrent topics in Steve Hanks’s work include AI-based Problem Solving and Planning (18 papers), Logic, Reasoning, and Knowledge (14 papers) and Bayesian Modeling and Causal Inference (9 papers). Steve Hanks is often cited by papers focused on AI-based Problem Solving and Planning (18 papers), Logic, Reasoning, and Knowledge (14 papers) and Bayesian Modeling and Causal Inference (9 papers). Steve Hanks collaborates with scholars based in United States and Canada. Steve Hanks's co-authors include Drew McDermott, Craig Boutilier, Taraneh Dean, Daniel S. Weld, Omid Madani, Anne Condon, Nicholas Kushmerick, Paul R. Cohen, Peter Haddawy and Martha E. Pollack and has published in prestigious journals such as Artificial Intelligence, SIAM Journal on Computing and Journal of Artificial Intelligence Research.

In The Last Decade

Co-authorship network of co-authors of Steve Hanks i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Steve Hanks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Steve Hanks

Since Specialization

Citations

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

Explore authors with similar magnitude of impact