Pablo M. Poggi
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 10%
- Condensed Matter Physics
- Co-authors
- Ivan DeutschDiego A. WisniackiFrancesco GinelliRoberto LiviAlessio TurchiAntonio PolitiHugues ChatéPoul Jessen
- Topics
- Quantum Information and Cryptography (19 papers)Quantum Computing Algorithms and Architecture (14 papers)Spectroscopy and Quantum Chemical Studies (8 papers)
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsArtificial Intelligence
- Partner nations
- United StatesArgentinaUnited Kingdom
In The Last Decade
Pablo M. Poggi
28 papers receiving 590 citations
Peers
Comparison fields: 5 of 45
- Atomic and Molecular Physics, and Optics 365
- Artificial Intelligence 302
- Statistical and Nonlinear Physics 246
- Computer Networks and Communications 99
- Condensed Matter Physics 30
Countries citing papers authored by Pablo M. Poggi
This map shows the geographic impact of Pablo M. Poggi'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 Pablo M. Poggi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo M. Poggi more than expected).
Fields of papers citing papers by Pablo M. Poggi
This network shows the impact of papers produced by Pablo M. Poggi. 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 Pablo M. Poggi. The network helps show where Pablo M. Poggi may publish in the future.
Co-authorship network of co-authors of Pablo M. Poggi
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo M. Poggi. A scholar is included among the top collaborators of Pablo M. Poggi 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 Pablo M. Poggi. Pablo M. Poggi 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 | 8 | |
| 3 | 3 | |
| 4 | 16 | |
| 5 | 13 | |
| 6 | 17 | |
| 7 | 17 | |
| 8 | 19 | |
| 9 | 15 | |
| 10 | 14 | |
| 11 | 58 | |
| 12 | 30 | |
| 13 | 17 | |
| 14 | 8 | |
| 15 | 22 | |
| 16 | 29 | |
| 17 | 9 | |
| 18 | 6 | |
| 19 | 10 | |
| 20 | 190 |
About Pablo M. Poggi
Pablo M. Poggi is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 28 papers that have together received 605 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (19 papers), Quantum Computing Algorithms and Architecture (14 papers) and Spectroscopy and Quantum Chemical Studies (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (246 citations), Atomic and Molecular Physics, and Optics (365 citations) and Artificial Intelligence (302 citations). Pablo M. Poggi has collaborated with scholars based in United States, Argentina and United Kingdom. Frequent co-authors include Ivan Deutsch, Diego A. Wisniacki, Francesco Ginelli, Roberto Livi, Alessio Turchi, Antonio Politi, Hugues Chaté, Poul Jessen, Steve Campbell and Alberto M. Marino. Their work appears in journals such as Physical Review Letters, Physical Review A and Physical review. A.
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.