Robert B. Doorenbos

764 total citations
4 papers, 437 citations indexed

About

Robert B. Doorenbos is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Robert B. Doorenbos has authored 4 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Information Systems. Recurrent topics in Robert B. Doorenbos's work include Machine Learning and Algorithms (2 papers), Rough Sets and Fuzzy Logic (1 paper) and Optimization and Search Problems (1 paper). Robert B. Doorenbos is often cited by papers focused on Machine Learning and Algorithms (2 papers), Rough Sets and Fuzzy Logic (1 paper) and Optimization and Search Problems (1 paper). Robert B. Doorenbos collaborates with scholars based in United States. Robert B. Doorenbos's co-authors include Oren Etzioni, Daniel S. Weld and Mike Perkowitz and has published in prestigious journals such as Journal of Intelligent Information Systems and National Conference on Artificial Intelligence.

In The Last Decade

Robert B. Doorenbos

4 papers receiving 372 citations

Peers

Robert B. Doorenbos
Prasang Upadhyaya United States
Cheng Hian Goh Singapore
Marcel Holsheimer Netherlands
Deepak Venugopal United States
Levent V. Orman United States
Adam Sah United States
Prasang Upadhyaya United States
Robert B. Doorenbos
Citations per year, relative to Robert B. Doorenbos Robert B. Doorenbos (= 1×) peers Prasang Upadhyaya

Countries citing papers authored by Robert B. Doorenbos

Since Specialization
Citations

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

Fields of papers citing papers by Robert B. Doorenbos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert B. Doorenbos. 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 Robert B. Doorenbos. The network helps show where Robert B. Doorenbos may publish in the future.

Co-authorship network of co-authors of Robert B. Doorenbos

This figure shows the co-authorship network connecting the top 25 collaborators of Robert B. Doorenbos. A scholar is included among the top collaborators of Robert B. Doorenbos 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 Robert B. Doorenbos. Robert B. Doorenbos 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.
Doorenbos, Robert B., Oren Etzioni, & Daniel S. Weld. (1997). A scalable comparison-shopping agent for the World-Wide Web. 39–48. 324 indexed citations
2.
Perkowitz, Mike, Robert B. Doorenbos, Oren Etzioni, & Daniel S. Weld. (1997). Learning to Understand Information on the Internet: An Example-Based Approach. Journal of Intelligent Information Systems. 8(2). 133–153. 48 indexed citations
3.
Doorenbos, Robert B.. (1995). Production Matching for Large Learning Systems. 57 indexed citations
4.
Doorenbos, Robert B.. (1993). Matching 100, 000 Learned Rules.. National Conference on Artificial Intelligence. 290–296. 8 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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