Daniel Ramage
- Cancer Research top 0.1%
- Molecular Biology top 0.05%
- Artificial Intelligence top 0.05%
- Topic Modeling 10
- Privacy-Preserving Technologies in Data 10
- Natural Language Processing Techniques 7
- Cryptography and Data Security 4
- Immunology top 0.5%
- Aging top 1%
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- Complex Network Analysis Techniques 4
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- Privacy, Security, and Data Protection 4
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- Computational and Text Analysis Methods 4
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- Expert finding and Q&A systems 3
- Co-authors
- Trey IdekerNada AminNitin S. BaligaPaul ShannonBenno SchwikowskiOwen OzierH. Brendan McMahanBlaise Agüera y Arcas
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Daniel Ramage
28 papers receiving 41.6k citations
Hit Papers
Peers
Comparison fields: 5 of 221
- Cancer Research 5.6k
- Molecular Biology 21.9k
- Artificial Intelligence 6.2k
- Immunology 3.2k
- Aging 254
Countries citing papers authored by Daniel Ramage
This map shows the geographic impact of Daniel Ramage'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 Daniel Ramage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ramage more than expected).
Fields of papers citing papers by Daniel Ramage
This network shows the impact of papers produced by Daniel Ramage. 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 Daniel Ramage. The network helps show where Daniel Ramage may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Ramage, 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 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learningbreakdown → | 2022 | 133 |
| 4 | 2021 | 43 | |
| 5 | Context Aware Local Differential Privacy | 2020 | 1 |
| 6 | Learning Differentially Private Language Models Without Losing Accuracy | 2017 | 39 |
| 7 | Discrete distribution estimation under local privacy | 2016 | 81 |
| 8 | Communication-Efficient Learning of Deep Networks from Decentralized Databreakdown → | 2016 | 2590 |
| 9 | 2013 | 89 | |
| 10 | A study of academic collaboration in computational linguistics with latent mixtures of authors | 2011 | 7 |
| 11 | A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model | 2011 | 4 |
| 12 | 2011 | 150 | |
| 13 | Characterizing Microblogs with Topic Modelsbreakdown → | 2010 | 489 |
| 14 | 2009 | 53 | |
| 15 | 2009 | 103 | |
| 16 | 2008 | 196 | |
| 17 | Robust Graph Alignment Methods for Textual Inference and Machine Reading. | 2007 | 2 |
| 18 | Lexical Semantic Relatedness with Random Graph Walks | 2007 | 125 |
| 19 | 2007 | 2 | |
| 20 | Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networksbreakdown → | 2003 | 34768 |
About Daniel Ramage
Daniel Ramage is a scholar working on General Social Sciences, Artificial Intelligence and Information Systems, having authored 28 papers that have together received 42.3k indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Privacy-Preserving Technologies in Data (10 papers), Natural Language Processing Techniques (7 papers), Complex Network Analysis Techniques (4 papers), Privacy, Security, and Data Protection (4 papers), Computational and Text Analysis Methods (4 papers), Cryptography and Data Security (4 papers) and Expert finding and Q&A systems (3 papers). The work is most often cited by research in Cancer Research (5.6k citations), Molecular Biology (21.9k citations) and Artificial Intelligence (6.2k citations). Daniel Ramage has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Trey Ideker, Nada Amin, Nitin S. Baliga, Paul Shannon, Benno Schwikowski, Owen Ozier, H. Brendan McMahan, Blaise Agüera y Arcas, Eider Moore and Christopher D. Manning. Their work appears in journals such as Genome Research, Poetics, Queue, Communications of the ACM 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.