Andrés Corrada-Emmanuel
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 2%
- Information Systems top 5%
- Sociology and Political Science
- Oceanography top 10%
- Co-authors
- Andrew McCallumXingyu WangXuerui WangMichael L. BannerChristopher J. ZappaHoward SchultzLawrence B. WolffMichael Newman
- Topics
- Topic Modeling (6 papers)Complex Network Analysis Techniques (3 papers)Opinion Dynamics and Social Influence (3 papers)
- Journals
- Measurement Science and TechnologyJournal of Artificial Intelligence ResearchDigital Signal Processing
- Partner nations
- United StatesAustralia
In The Last Decade
Andrés Corrada-Emmanuel
8 papers receiving 655 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 402
- Statistical and Nonlinear Physics 272
- Information Systems 220
- Sociology and Political Science 66
- Oceanography 66
Countries citing papers authored by Andrés Corrada-Emmanuel
This map shows the geographic impact of Andrés Corrada-Emmanuel'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 Andrés Corrada-Emmanuel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrés Corrada-Emmanuel more than expected).
Fields of papers citing papers by Andrés Corrada-Emmanuel
This network shows the impact of papers produced by Andrés Corrada-Emmanuel. 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 Andrés Corrada-Emmanuel. The network helps show where Andrés Corrada-Emmanuel may publish in the future.
Co-authorship network of co-authors of Andrés Corrada-Emmanuel
This figure shows the co-authorship network connecting the top 25 collaborators of Andrés Corrada-Emmanuel. A scholar is included among the top collaborators of Andrés Corrada-Emmanuel 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 Andrés Corrada-Emmanuel. Andrés Corrada-Emmanuel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Group Discovery with Multiple-Choice Exams and Consumer Surveys: The Group-Question-Answer Model | 0 |
| 2 | 89 | |
| 3 | Autonomous estimates of horizontal decorrelation lengths for digital elevation models | 0 |
| 4 | Improving Autonomous Estimates of DEM Uncertainties by Exploiting Computer Matching Asymmetries | 1 |
| 5 | 298 | |
| 6 | Topic and role discovery in social networks | 202 |
| 7 | The Author-Recipient-Topic Model for Topic and Role Discovery in Social Networks: Experiments with Enron and Academic Email | 89 |
| 8 | 8 | |
| 9 | UMass at TREC 2003: HARD and QA | 8 |
| 10 | 15 | |
| 11 | 8 |
About Andrés Corrada-Emmanuel
Andrés Corrada-Emmanuel is a scholar working on General Social Sciences, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 11 papers that have together received 718 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Complex Network Analysis Techniques (3 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (272 citations), General Social Sciences (44 citations) and Artificial Intelligence (402 citations). Andrés Corrada-Emmanuel has collaborated with scholars based in United States and Australia. Frequent co-authors include Andrew McCallum, Xingyu Wang, Xuerui Wang, Michael L. Banner, Christopher J. Zappa, Howard Schultz, Lawrence B. Wolff, Michael Newman, Barbara Peskin and W. Bruce Croft. Their work appears in journals such as Measurement Science and Technology, Journal of Artificial Intelligence Research and Digital Signal Processing.
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.