Christopher De
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Artificial Intelligence top 2%
- Topic Modeling
- Stochastic Gradient Optimization Techniques
- Semantic Web and Ontologies
Papers in
-
- Stochastic Gradient Optimization Techniques 15
- Topic Modeling 8
- Machine Learning and Data Classification 5
- Neural Networks and Applications 5
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- Embedded Systems Design Techniques 4
- Co-authors
- Christopher Ré (22 shared papers)Ce Zhang (7 shared papers)Sen Wu (6 shared papers)Kunle Olukotun (11 shared papers)Robert F. Shepherd (2 shared papers)Ilse M. Van Meerbeek (2 shared papers)Jaeho Shin (5 shared papers)Feiran Wang (5 shared papers)
- Journals
- ACM SIGMOD Record (1 paper)The VLDB Journal (1 paper)Proceedings of the VLDB Endowment (1 paper)ACM SIGPLAN Notices (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Christopher De
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Hardware and Architecture 187
- Artificial Intelligence 504
- Computer Vision and Pattern Recognition 156
- Computer Networks and Communications 145
- Health Informatics 12
Countries citing papers authored by Christopher De
This map shows the geographic impact of Christopher De'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 Christopher De with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher De more than expected).
Fields of papers citing papers by Christopher De
This network shows the impact of papers produced by Christopher De. 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 Christopher De. The network helps show where Christopher De may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher De, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 175 | |
| 2 | 2015 | 170 | |
| 3 | Data Programming: Creating Large Training Sets, Quickly. | 2016 | 73 |
| 4 | 2015 | 66 | |
| 5 | 2017 | 62 | |
| 6 | 2018 | 62 | |
| 7 | DeepDive: Declarative Knowledge Base Construction. | 2016 | 56 |
| 8 | 2016 | 55 | |
| 9 | 2016 | 52 | |
| 10 | 2017 | 46 | |
| 11 | 2019 | 42 | |
| 12 | 2016 | 38 | |
| 13 | 2019 | 36 | |
| 14 | 2016 | 33 | |
| 15 | Representation Tradeoffs for Hyperbolic Embeddings. | 2018 | 32 |
| 16 | 2019 | 24 | |
| 17 | 2017 | 21 | |
| 18 | 2023 | 18 | |
| 19 | 2017 | 15 | |
| 20 | 2018 | 14 |
About Christopher De
Christopher De is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition, Management Science and Operations Research and Statistics and Probability, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (15 papers), Topic Modeling (8 papers), Advanced Neural Network Applications (8 papers), Data Quality and Management (6 papers), Machine Learning and Data Classification (5 papers), Neural Networks and Applications (5 papers), Ethics and Social Impacts of AI (4 papers) and Embedded Systems Design Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (187 citations), Artificial Intelligence (504 citations), Computer Vision and Pattern Recognition (156 citations), Computer Networks and Communications (145 citations) and Health Informatics (12 citations). Christopher De has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Christopher Ré, Ce Zhang, Sen Wu, Kunle Olukotun, Robert F. Shepherd, Ilse M. Van Meerbeek, Jaeho Shin, Feiran Wang, Alexander Ratner and Albert Gu. Their work appears in journals such as ACM SIGMOD Record, The VLDB Journal, Proceedings of the VLDB Endowment, ACM SIGPLAN Notices and Communications of the ACM.
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.