Axinia Radeva

492 total citations
14 papers, 309 citations indexed

About

Axinia Radeva is a scholar working on Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Axinia Radeva has authored 14 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Axinia Radeva's work include Time Series Analysis and Forecasting (3 papers), Music and Audio Processing (2 papers) and Power System Reliability and Maintenance (2 papers). Axinia Radeva is often cited by papers focused on Time Series Analysis and Forecasting (3 papers), Music and Audio Processing (2 papers) and Power System Reliability and Maintenance (2 papers). Axinia Radeva collaborates with scholars based in United States. Axinia Radeva's co-authors include Rebecca J. Passonneau, Cynthia Rudin, Ansaf Salleb-Aouissi, Bert Huang, Haimonti Dutta, David L. Waltz, Albert Boulanger, Michael Chow, Lynn Wu and Haimonti Dutta and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer and Machine Learning.

In The Last Decade

Axinia Radeva

14 papers receiving 271 citations

Peers

Axinia Radeva
Ansaf Salleb-Aouissi United States
Peter Sokolowski Australia
Jianbin Sun China
Aparna V. Huzurbazar United States
Wenli Fan China
Daniel Grose Germany
Yuetong Lin United States
Moxian Song China
David Iverson United States
Haicheng Tu China
Ansaf Salleb-Aouissi United States
Axinia Radeva
Citations per year, relative to Axinia Radeva Axinia Radeva (= 1×) peers Ansaf Salleb-Aouissi

Countries citing papers authored by Axinia Radeva

Since Specialization
Citations

This map shows the geographic impact of Axinia Radeva'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 Axinia Radeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Axinia Radeva more than expected).

Fields of papers citing papers by Axinia Radeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Axinia Radeva. 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 Axinia Radeva. The network helps show where Axinia Radeva may publish in the future.

Co-authorship network of co-authors of Axinia Radeva

This figure shows the co-authorship network connecting the top 25 collaborators of Axinia Radeva. A scholar is included among the top collaborators of Axinia Radeva 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 Axinia Radeva. Axinia Radeva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Rasooli, Mohammad Sadegh, Noura Farra, Axinia Radeva, Tao Yu, & Kathleen McKeown. (2017). Cross-lingual sentiment transfer with limited resources. Machine Translation. 32(1-2). 143–165. 22 indexed citations
2.
Gao, Jie, et al.. (2017). Prediction of a hotspot pattern in keyword search results. Computer Speech & Language. 48. 80–102. 1 indexed citations
3.
Rambow, Owen, Daniel J. Bauer, Axinia Radeva, et al.. (2016). The 2016 TAC KBP BeSt Evaluation.. Theory and applications of categories. 2 indexed citations
4.
Vovsha, Ilia, Ansaf Salleb-Aouissi, Anita Raja, et al.. (2016). Using Kernel Methods and Model Selection for Prediction of Preterm Birth.. 55–72. 2 indexed citations
5.
Vovsha, Ilia, et al.. (2014). Predicting Preterm Birth Is Not Elusive: Machine Learning Paves the Way to Individual Wellness. National Conference on Artificial Intelligence. 16 indexed citations
6.
Rudin, Cynthia, Şeyda Ertekin, Rebecca J. Passonneau, et al.. (2014). Analytics for Power Grid Distribution Reliability in New York City. INFORMS Journal on Applied Analytics. 44(4). 364–383. 18 indexed citations
7.
Vovsha, Ilia, et al.. (2013). Data pre-processing for the preterm prediction study MFMU dataset. Columbia Academic Commons (Columbia University). 1 indexed citations
8.
Xie, Boyi, et al.. (2012). Progressive Clustering with Learned Seeds: An Event Categorization System for Power Grid.. Software Engineering and Knowledge Engineering. 100–105. 2 indexed citations
9.
Dutta, Haimonti, et al.. (2011). Learning parameters of the K-means algorithm from subjective human annotation. The Florida AI Research Society. 465–470. 2 indexed citations
10.
Rudin, Cynthia, David L. Waltz, Albert Boulanger, et al.. (2011). Machine Learning for the New York City Power Grid. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(2). 328–345. 178 indexed citations
11.
Rudin, Cynthia, et al.. (2011). 21st-Century Data Miners Meet 19th-Century Electrical Cables. Computer. 44(6). 103–105. 9 indexed citations
12.
Rudin, Cynthia, et al.. (2010). A process for predicting manhole events in Manhattan. Machine Learning. 80(1). 1–31. 35 indexed citations
13.
Radeva, Axinia, et al.. (2009). Report Cards for Manholes: Eliciting Expert Feedback for a Learning Task. 719–724. 4 indexed citations
14.
Fern, Lisa, et al.. (2007). FRONT-END SOFTWARE ARCHITECTURE. 17 indexed citations

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.

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2026