Guy Shani
About
In The Last Decade
Guy Shani
93 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 762
- Information Systems 537
- Computer Vision and Pattern Recognition 285
- Plant Science 264
- Computer Networks and Communications 241
Countries citing papers authored by Guy Shani
This map shows the geographic impact of Guy Shani'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 Guy Shani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Shani more than expected).
Fields of papers citing papers by Guy Shani
This network shows the impact of papers produced by Guy Shani. 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 Guy Shani. The network helps show where Guy Shani may publish in the future.
Co-authorship network of co-authors of Guy Shani
This figure shows the co-authorship network connecting the top 25 collaborators of Guy Shani. A scholar is included among the top collaborators of Guy Shani 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 Guy Shani. Guy Shani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 23 | |
| 7 | Intelligent recommendations for citizen science | 3 |
| 8 | 11 | |
| 9 | 19 | |
| 10 | 75 | |
| 11 | 1 | |
| 12 | 21 | |
| 13 | A Survey of Accuracy Evaluation Metrics of Recommendation Tasks breakdown → | 346 |
| 14 | Improving Existing Fault Recovery Policies | 4 |
| 15 | Efficient ADD operations for point-based algorithms | 22 |
| 16 | Forward search value iteration for POMDPs | 58 |
| 17 | Scaling up: solving POMDPs through value based clustering | 12 |
| 18 | 3 | |
| 19 | Resolving Perceptual Aliasing In The Presence Of Noisy Sensors | 9 |
| 20 | Recommendation as a stochastic sequential decision problem | 9 |
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.