Anna Oganian
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
Papers in
-
- Privacy-Preserving Technologies in Data 9
- Imbalanced Data Classification Techniques 2
- Internet Traffic Analysis and Secure E-voting 2
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- Information and Cyber Security 2
- Data Mining Algorithms and Applications 2
- Co-authors
- Josep Domingo‐Ferrer (4 shared papers)Alan F. Karr (4 shared papers)Jerome P. Reiter (3 shared papers)Ashish Sanil (1 shared paper)Josep M. Mateo‐Sanz (1 shared paper)Ángel Freddy Rodríguez Torres (1 shared paper)Vicenç Torra (1 shared paper)Goran Lešaja (5 shared papers)
- Journals
- Journal of Statistical Planning and Inference (1 paper)Computational Statistics & Data Analysis (1 paper)International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (1 paper)The American Statistician (1 paper)Lecture notes in computer science (5 papers)
- Partner nations
- United StatesSpainChina
In The Last Decade
Anna Oganian
14 papers receiving 368 citations
Peers
Comparison fields: 5 of 52
- Statistics and Probability 79
- Artificial Intelligence 299
- Computer Science Applications 46
- Management Science and Operations Research 91
- Sociology and Political Science 99
Countries citing papers authored by Anna Oganian
This map shows the geographic impact of Anna Oganian'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 Anna Oganian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Oganian more than expected).
Fields of papers citing papers by Anna Oganian
This network shows the impact of papers produced by Anna Oganian. 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 Anna Oganian. The network helps show where Anna Oganian may publish in the future.
Co-authors
The 10 scholars most cited alongside Anna Oganian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 127 | |
| 2 | 2006 | 114 | |
| 3 | 2009 | 72 | |
| 4 | 2008 | 29 | |
| 5 | 2002 | 18 | |
| 6 | 2003 | 12 | |
| 7 | A posteriori disclosure risk measure for tabular data based on conditional entropy | 2003 | 7 |
| 8 | Local synthesis for disclosure limitation that satisfies probabilistic k-anonymity criterion. | 2017 | 6 |
| 9 | 2018 | 3 | |
| 10 | 2010 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 2016 | 2 | |
| 13 | 2020 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2020 | 0 | |
| 16 | 2016 | 0 |
About Anna Oganian
Anna Oganian is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Statistics and Probability and Numerical Analysis, having authored 16 papers that have together received 397 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), Advanced Optimization Algorithms Research (3 papers), Imbalanced Data Classification Techniques (2 papers), Advanced Causal Inference Techniques (2 papers), Information and Cyber Security (2 papers), Data Mining Algorithms and Applications (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Statistics and Probability (79 citations), Artificial Intelligence (299 citations), Computer Science Applications (46 citations), Management Science and Operations Research (91 citations) and Sociology and Political Science (99 citations). Anna Oganian has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Josep Domingo‐Ferrer, Alan F. Karr, Jerome P. Reiter, Ashish Sanil, Josep M. Mateo‐Sanz, Ángel Freddy Rodríguez Torres, Vicenç Torra, Goran Lešaja, Jordi Castro and Mikhail Ryzhikov. Their work appears in journals such as Journal of Statistical Planning and Inference, Computational Statistics & Data Analysis, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, The American Statistician and Lecture notes in computer science.
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.