Natalia Ponomareva
- Artificial Intelligence top 10%
- Information Systems
- Molecular Biology
- Sociology and Political Science
- Computer Science Applications
- Co-authors
- Mike ThelwallSergei VassilvitskiiAbhradeep ThakurtaА.В. КуракинSteve ChienZheng XuPaolo RossoAntonio Molina
- Topics
- Privacy-Preserving Technologies in Data (5 papers)Topic Modeling (4 papers)Cryptography and Data Security (4 papers)
- Journals
- Journal of Artificial Intelligence ResearchBio-Algorithms and Med-SystemsEmpirical Methods in Natural Language Processing
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Natalia Ponomareva
18 papers receiving 155 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 139
- Information Systems 28
- Molecular Biology 14
- Sociology and Political Science 12
- Computer Science Applications 12
Countries citing papers authored by Natalia Ponomareva
This map shows the geographic impact of Natalia Ponomareva'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 Natalia Ponomareva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Ponomareva more than expected).
Fields of papers citing papers by Natalia Ponomareva
This network shows the impact of papers produced by Natalia Ponomareva. 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 Natalia Ponomareva. The network helps show where Natalia Ponomareva may publish in the future.
Co-authorship network of co-authors of Natalia Ponomareva
This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Ponomareva. A scholar is included among the top collaborators of Natalia Ponomareva 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 Natalia Ponomareva. Natalia Ponomareva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 78 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | Accelerating Gradient Boosting Machine | 4 |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | Semi-supervised vs. Cross-domain Graphs for Sentiment Analysis | 11 |
| 15 | Do Neighbours Help? An Exploration of Graph-based Algorithms for Cross-domain Sentiment Classification | 23 |
| 16 | 2 | |
| 17 | 1 | |
| 18 | Inductive Modeling in Subjectivity/Sentiment Analysis(case study: dialog processing) | 1 |
| 19 | 1 | |
| 20 | Conditional Random Fields vs. Hidden Markov Models in a biomedical Named Entity Recognition task | 19 |
About Natalia Ponomareva
Natalia Ponomareva is a scholar working on Artificial Intelligence, Management Science and Operations Research and Finance, having authored 21 papers that have together received 165 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (5 papers), Topic Modeling (4 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Artificial Intelligence (139 citations), Health Informatics (5 citations) and Computer Science Applications (12 citations). Natalia Ponomareva has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Mike Thelwall, Sergei Vassilvitskii, Abhradeep Thakurta, А.В. Куракин, Steve Chien, Zheng Xu, Paolo Rosso, Antonio Molina, Ferran Plà and Jasmijn Bastings. Their work appears in journals such as Journal of Artificial Intelligence Research, Bio-Algorithms and Med-Systems and Empirical Methods in Natural Language 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.