Alberto M. Segre
- Artificial Intelligence top 0.2%
- Information Systems top 0.5%
- Epidemiology top 5%
- Computer Vision and Pattern Recognition top 2%
- Computational Theory and Mathematics top 1%
- Co-authors
- Steven L. SalzbergPhilip M. PolgreenAlessio SignoriniTed HermanGeb ThomasSriram V. PemmarajuMauricio MonsalveManish Suneja
- Topics
- AI-based Problem Solving and Planning (17 papers)Machine Learning and Algorithms (12 papers)COVID-19 epidemiological studies (11 papers)
- Partner nations
- United StatesItalyIsrael
In The Last Decade
Alberto M. Segre
106 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Artificial Intelligence 2.7k
- Information Systems 1.5k
- Epidemiology 698
- Computer Vision and Pattern Recognition 587
- Computational Theory and Mathematics 562
Countries citing papers authored by Alberto M. Segre
This map shows the geographic impact of Alberto M. Segre'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 Alberto M. Segre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto M. Segre more than expected).
Fields of papers citing papers by Alberto M. Segre
This network shows the impact of papers produced by Alberto M. Segre. 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 Alberto M. Segre. The network helps show where Alberto M. Segre may publish in the future.
Co-authorship network of co-authors of Alberto M. Segre
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto M. Segre. A scholar is included among the top collaborators of Alberto M. Segre 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 Alberto M. Segre. Alberto M. Segre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 37 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 38 | |
| 7 | 32 | |
| 8 | 48 | |
| 9 | The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemicbreakdown → | 904 |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 0 | |
| 16 | The design of ALPS: an adaptive learning and planning system | 1 |
| 17 | Using hundreds of workstations to solve first-order logic problems | 9 |
| 18 | Learning how to plan | 1 |
| 19 | Proceedings of the Sixth International Workshop on Machine Learning, Cornell University, Ithaca, New York, June 26-27, 1989 | 3 |
| 20 | On the operationality/generality trade-off in explanation-based learning | 22 |
About Alberto M. Segre
Alberto M. Segre is a scholar working on Modeling and Simulation, General Dentistry and Critical Care and Intensive Care Medicine, having authored 111 papers that have together received 6.2k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (17 papers), Machine Learning and Algorithms (12 papers) and COVID-19 epidemiological studies (11 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Information Systems (1.5k citations) and Software (180 citations). Alberto M. Segre has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Steven L. Salzberg, Philip M. Polgreen, Alessio Signorini, Ted Herman, Geb Thomas, Sriram V. Pemmaraju, Mauricio Monsalve, Manish Suneja, Linnea A. Polgreen and Rachel Butler. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Clinical Infectious Diseases.
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.