Edoardo M. Airoldi
About
In The Last Decade
Edoardo M. Airoldi
97 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Molecular Biology 2.2k
- Artificial Intelligence 1.2k
- Statistical and Nonlinear Physics 1.1k
- Sociology and Political Science 567
- General Social Sciences 392
Countries citing papers authored by Edoardo M. Airoldi
This map shows the geographic impact of Edoardo M. Airoldi'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 Edoardo M. Airoldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edoardo M. Airoldi more than expected).
Fields of papers citing papers by Edoardo M. Airoldi
This network shows the impact of papers produced by Edoardo M. Airoldi. 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 Edoardo M. Airoldi. The network helps show where Edoardo M. Airoldi may publish in the future.
Co-authorship network of co-authors of Edoardo M. Airoldi
This figure shows the co-authorship network connecting the top 25 collaborators of Edoardo M. Airoldi. A scholar is included among the top collaborators of Edoardo M. Airoldi 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 Edoardo M. Airoldi. Edoardo M. Airoldi 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 | 5 | |
| 3 | 19 | |
| 4 | Latent Space Representations of Hypergraphs | 0 |
| 5 | 127 | |
| 6 | Stability and optimality in stochastic gradient descent. | 2 |
| 7 | Optimal model-assisted design of experiments for network correlated outcomes suggests new notions of network balance | 3 |
| 8 | Consistent estimation of dynamic and multi-layer block models | 18 |
| 9 | Implicit stochastic gradient descent for principled estimation with large datasets | 3 |
| 10 | Nonparametric estimation and testing of exchangeable graph models | 17 |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 26 | |
| 14 | Capturing topical content with frequency and exclusivity. | 3 |
| 15 | Summarizing topical content with word frequency and exclusivity | 100 |
| 16 | Ranking Relations Using Analogies in Biological and Information Networks | 3 |
| 17 | Polytope samplers for inference in ill-posed inverse problems | 5 |
| 18 | Markov Blankets and Meta-Heuristics Search: Sentiment Extraction from Unstructured Texts | 2 |
| 19 | 0 | |
| 20 | Technologies to Defeat Fraudulent Schemes Related to Email Requests | 1 |
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.