Ronny Kohavi
About
In The Last Decade
Ronny Kohavi
8 papers receiving 187 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 91
- Information Systems 73
- Molecular Biology 23
- Computer Networks and Communications 22
- Computational Theory and Mathematics 20
Countries citing papers authored by Ronny Kohavi
This map shows the geographic impact of Ronny Kohavi'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 Ronny Kohavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronny Kohavi more than expected).
Fields of papers citing papers by Ronny Kohavi
This network shows the impact of papers produced by Ronny Kohavi. 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 Ronny Kohavi. The network helps show where Ronny Kohavi may publish in the future.
Co-authorship network of co-authors of Ronny Kohavi
This figure shows the co-authorship network connecting the top 25 collaborators of Ronny Kohavi. A scholar is included among the top collaborators of Ronny Kohavi 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 Ronny Kohavi. Ronny Kohavi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | Online Experimentation at Microsoft | 55 |
| 4 | KDD-2004 : proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 22-25, 2004, Seattle, Washington, USA | 29 |
| 5 | Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining | 32 |
| 6 | Data mining tasks and methods: Classification: Bayesian classification | 3 |
| 7 | Data mining tasks and methods: Classification: decision-tree discovery | 75 |
| 8 | 2 |
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.