Lisa Ferro
- Artificial Intelligence top 5%
- Political Science and International Relations top 10%
- Information Systems top 10%
- Law top 5%
- Computer Networks and Communications
- Co-authors
- Inderjeet ManiBeth SundheimGeorge D. WilsonLaurie GerberJohn D. BurgerL. Karl BrantingCraig PfeiferMark S. Pfaff
- Topics
- Gamma-ray bursts and supernovae (10 papers)Topic Modeling (9 papers)Natural Language Processing Techniques (9 papers)
- Journals
- The Astrophysical JournalAstronomy and AstrophysicsNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
- Partner nations
- United StatesItalyPortugal
In The Last Decade
Lisa Ferro
27 papers receiving 319 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 301
- Political Science and International Relations 75
- Information Systems 59
- Law 32
- Computer Networks and Communications 29
Countries citing papers authored by Lisa Ferro
This map shows the geographic impact of Lisa Ferro'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 Lisa Ferro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Ferro more than expected).
Fields of papers citing papers by Lisa Ferro
This network shows the impact of papers produced by Lisa Ferro. 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 Lisa Ferro. The network helps show where Lisa Ferro may publish in the future.
Co-authorship network of co-authors of Lisa Ferro
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Ferro. A scholar is included among the top collaborators of Lisa Ferro 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 Lisa Ferro. Lisa Ferro 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 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 55 | |
| 13 | 22 | |
| 14 | A Probabilistic Rasch Analysis of Question Answering Evaluations | 2 |
| 15 | 17 | |
| 16 | Annotating temporal information: from theory to practice | 8 |
| 17 | Another Sys Called Qanda. | 4 |
| 18 | A Sys Called Qanda. | 25 |
| 19 | Event99: A proposed event indexing task for broadcast news | 6 |
| 20 | 6 |
About Lisa Ferro
Lisa Ferro is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Radiation, having authored 30 papers that have together received 391 indexed citations. Recurring topics across this work include Gamma-ray bursts and supernovae (10 papers), Topic Modeling (9 papers) and Natural Language Processing Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (301 citations), Law (32 citations) and Political Science and International Relations (75 citations). Lisa Ferro has collaborated with scholars based in United States, Italy and Portugal. Frequent co-authors include Inderjeet Mani, Beth Sundheim, George D. Wilson, Laurie Gerber, John D. Burger, L. Karl Branting, Craig Pfeifer, Mark S. Pfaff, David House and Eric Breck. Their work appears in journals such as The Astrophysical Journal, Astronomy and Astrophysics and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.
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.