Adam Smith

22.4k citations
107 papers · 5.2k indexed · 4 hit papers · h-index 31

Adam Smith

103 papers receiving 5.0k citations

Hit Papers

Private Empirical Risk Minimization: Efficient Algorit...2782007202620132019250500750

Peers

Adam Smith
Comparison fields: 5 of 124
  • Artificial Intelligence 3.7k
  • Computer Science Applications 536
  • Signal Processing 471
  • Hardware and Architecture 285
  • Information Systems 693
Replace Robert Sedgewick with:
Robert Sedgewick United States
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Umesh Vazirani United States
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Citations per field
00.5×6.2×
Robert Sedgewick · 1×
Citations per year

Countries citing papers authored by Adam Smith

Since Specialization
Citations

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

Fields of papers citing papers by Adam Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Adam Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Adam Smith Line = papers co-authored together Adam Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20247
3 202310
4 20233
5 20225
6
Differentially Private Model Personalization
20212
7 202011
8
The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space
20209
9 201919
10
Differentially Private Empirical Risk Minimization in Non-interactive Local Model via Polynomial of Inner Product Approximation.
20183
11
Distributed Differential Privacy via Mixnets.
20183
12
Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso
201349
13
(Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings
201338
14
Private Convex Optimization for Empirical Risk Minimization with Applications to High-dimensional Regression.
201223
15
Private Convex Empirical Risk Minimization and High-dimensional Regression
201275
16 200723
17
A Note on Adaptivity in Testing Properties of Bounded Degree Graphs
200610
18
Sublinear Algorithms for Approximating String Compressibility and the Distribution Support Size
20051
19 200322
20
Extracting Quantum Entanglement
20020

About Adam Smith

Adam Smith is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 107 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cryptography and Data Security (32 papers), Privacy-Preserving Technologies in Data (32 papers), Quantum many-body systems (21 papers), Quantum Computing Algorithms and Architecture (13 papers), Quantum Information and Cryptography (13 papers), Quantum and electron transport phenomena (10 papers), Physics of Superconductivity and Magnetism (9 papers) and Complexity and Algorithms in Graphs (9 papers). The work is most often cited by research in Artificial Intelligence (3.7k citations), Computer Science Applications (536 citations) and Signal Processing (471 citations). Adam Smith has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Sofya Raskhodnikova, Kobbi Nissim, Yevgeniy Dodis, Leonid Reyzin, Rafail Ostrovsky, Abhradeep Thakurta, Shiva Prasad Kasiviswanathan, Cynthia Dwork, Raef Bassily and Johannes Knolle. Their work appears in journals such as Physical review. B., Physical Review Letters, Physical Review Research, Journal of Cryptology and IEEE Transactions on Information Theory.

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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