Roni Rosenfeld

11.2k total citations · 1 hit paper
134 papers, 5.5k citations indexed

About

Roni Rosenfeld is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Roni Rosenfeld has authored 134 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Artificial Intelligence, 22 papers in Information Systems and 18 papers in Molecular Biology. Recurrent topics in Roni Rosenfeld's work include Natural Language Processing Techniques (30 papers), Topic Modeling (26 papers) and Speech Recognition and Synthesis (23 papers). Roni Rosenfeld is often cited by papers focused on Natural Language Processing Techniques (30 papers), Topic Modeling (26 papers) and Speech Recognition and Synthesis (23 papers). Roni Rosenfeld collaborates with scholars based in United States, Pakistan and Israel. Roni Rosenfeld's co-authors include Xiaojin Zhu, John Lafferty, Kristie Seymore, S.F. Chen, Xuedong Huang, F. Alleva, Mei-Yuh Hwang, Ryan J. Tibshirani, Salim Roukos and Raymond Y.K. Lau and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Roni Rosenfeld

125 papers receiving 4.9k citations

Hit Papers

Semi-supervised learning with graphs 2005 2026 2012 2019 2005 100 200 300 400

Peers

Roni Rosenfeld
Naren Ramakrishnan United States
Alberto M. Segre United States
Yee Whye Teh United Kingdom
Chris Watkins United Kingdom
David M. Pennock United States
Xin Lü China
Sune Lehmann Denmark
Naren Ramakrishnan United States
Roni Rosenfeld
Citations per year, relative to Roni Rosenfeld Roni Rosenfeld (= 1×) peers Naren Ramakrishnan

Countries citing papers authored by Roni Rosenfeld

Since Specialization
Citations

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

Fields of papers citing papers by Roni Rosenfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roni Rosenfeld

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

All Works

20 of 20 papers shown
1.
Salomon, Joshua A., Alex Reinhart, Alyssa Bilinski, et al.. (2021). The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination. Proceedings of the National Academy of Sciences. 118(51). 92 indexed citations
2.
Iannantuono, Giovanni Maria, Francesco Torino, Lidia Strigari, et al.. (2021). 1633P Why do cancer clinical trials (CT) discontinue prematurely in the era of COVID-19?. Annals of Oncology. 32. S1157–S1157. 1 indexed citations
3.
Feder, Amir, et al.. (2020). Active deep learning to detect demographic traits in free-form clinical notes. Journal of Biomedical Informatics. 107. 103436–103436. 14 indexed citations
4.
Reich, Nicholas G, Craig McGowan, Teresa K. Yamana, et al.. (2019). Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.. PLoS Computational Biology. 15(11). e1007486–e1007486. 95 indexed citations
5.
Baltrusaitis, Kristin, et al.. (2019). Differences in Regional Patterns of Influenza Activity Across Surveillance Systems in the United States: Comparative Evaluation. JMIR Public Health and Surveillance. 5(4). e13403–e13403. 11 indexed citations
6.
Jahja, Maria, David Farrow, Roni Rosenfeld, & Ryan J. Tibshirani. (2019). Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights. Neural Information Processing Systems. 32. 13166–13175. 1 indexed citations
7.
Raza, Agha Ali, et al.. (2018). Rapid Collection of Spontaneous Speech Corpora Using Telephonic Community Forums. 1021–1025. 10 indexed citations
8.
Brooks, Logan, David Farrow, Sangwon Hyun, Ryan J. Tibshirani, & Roni Rosenfeld. (2018). Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions. PLoS Computational Biology. 14(6). e1006134–e1006134. 39 indexed citations
9.
Percival, Daniel, Kathryn Roeder, Roni Rosenfeld, & Larry Wasserman. (2018). Structured, sparse regression with application to HIV drug resistance. Figshare. 2 indexed citations
10.
Farrow, David, Logan Brooks, Sangwon Hyun, et al.. (2017). A human judgment approach to epidemiological forecasting. PLoS Computational Biology. 13(3). e1005248–e1005248. 37 indexed citations
11.
Wu, Chuang, Roni Rosenfeld, & Gilles Clermont. (2014). Using Data-Driven Rules to Predict Mortality in Severe Community Acquired Pneumonia. PLoS ONE. 9(4). e89053–e89053. 16 indexed citations
12.
Lee, Bruce, Shawn T. Brown, Phillip Cooley, et al.. (2010). Continuation of Vaccination Deep into a Pandemic Wave: Potential Mechanisms for a "Third Wave" and the Impact of Vaccination. American Journal of Preventive Medicine. 39(5). 2 indexed citations
13.
Lee, Bruce Y., Shawn T. Brown, Philip C. Cooley, et al.. (2010). Vaccination Deep Into a Pandemic Wave. American Journal of Preventive Medicine. 39(5). e21–e29. 35 indexed citations
14.
Wu, Chuang, et al.. (2010). GENOTYPE PHENOTYPE MAPPING IN RNA VIRUSES - DISJUNCTIVE NORMAL FORM LEARNING. WORLD SCIENTIFIC eBooks. 62–73. 4 indexed citations
15.
Rosenfeld, Roni, et al.. (2004). Speech Graffiti Habitability: What Do Users Really Say?. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 81–84. 3 indexed citations
16.
Bar‐Joseph, Ziv, S. Farkash, David K. Gifford, Itamar Simon, & Roni Rosenfeld. (2004). Deconvolving cell cycle expression data with complementary information. Bioinformatics. 20(suppl_1). i23–i30. 41 indexed citations
17.
Hoberman, Rose, Judith Klein‐Seetharaman, & Roni Rosenfeld. (2004). Inferring Property Selection Pressure from Positional Residue Conservation. PubMed. 3(2). 167–179. 3 indexed citations
18.
Cussens, James, et al.. (2000). Incorporating linguistic structure into statistical language models - Discussion. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 358(1769). 1 indexed citations
19.
Pearlmutter, Barak A. & Roni Rosenfeld. (1990). Chaitin-Kolmogorov Complexity and Generalization in Neural Networks. MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth). 3. 925–931. 18 indexed citations
20.
Rosenfeld, Roni, et al.. (1988). Enzymes of the contact phase of blood coagulation: kinetics with various chromogenic substrates and a two-substrate assay for the joint estimation of plasma prekallikrein and factor XI.. PubMed. 112(5). 560–6. 4 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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