2026 Adam Smith: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	66	2262	2193	1128	1087	153	27698

Overview

Adam Smith is affiliated with Boston University in the United States and has contributed extensively to the fields of Computer Science and Physics and Astronomy. Their research covers a broad range of interdisciplinary subjects including Artificial Intelligence, Atomic and Molecular Physics, Condensed Matter Physics, Statistics and Probability, and Statistical and Nonlinear Physics.

The scientist's primary research focuses include:

Quantum many-body systems
Quantum Computing Algorithms and Architecture
Privacy-Preserving Technologies in Data
Quantum and electron transport phenomena
Cryptography and Data Security
Quantum Information and Cryptography
Physics of Superconductivity and Magnetism

Adam Smith has published multiple papers in notable venues. Recent significant publications include:

"Crossing a topological phase transition with a quantum computer" (2022) in Physical Review Research
"Methods for Simulating String-Net States and Anyons on a Digital Quantum Computer" (2022) in PRX Quantum
"Data for 'Realizing topologically ordered states on a quantum processor'" (2021) in Zenodo (CERN European Organization for Nuclear Research)
"Orthogonal Quantum Many-Body Scars" (2021) in Physical Review Letters
"Reusable Fuzzy Extractors for Low-Entropy Distributions" (2020) in Journal of Cryptology

The research is often published in leading venues such as:

arXiv (Cornell University)
Zenodo (CERN European Organization for Nuclear Research)
Physical Review Research
Physical Review B
Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Collaboration is a notable aspect of this scientist's career, with frequent co-authors including:

Frank Pollmann
Michael Knap
Yu-Jie Liu
Nico Kirchner
Raúl Morral-Yepes

Best Publications

Calibrating noise to sensitivity in private data analysis

Cynthia Dwork;Frank Mcsherry;Kobbi Nissim;Adam Smith

8283
Citations
Fuzzy extractors: How to generate strong keys from biometrics and other noisy data

Yevgeniy Dodis;Leonid Reyzin;Adam D. Smith

2644
Citations
Fuzzy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data

Yevgeniy Dodis;Rafail Ostrovsky;Leonid Reyzin;Adam Smith

1805
Citations
Smooth sensitivity and sampling in private data analysis

Kobbi Nissim;Sofya Raskhodnikova;Adam Smith

1223
Citations
What Can We Learn Privately

Shiva Prasad Kasiviswanathan;Homin K. Lee;Kobbi Nissim;Sofya Raskhodnikova

927
Citations
Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds

Raef Bassily;Adam Smith;Abhradeep Thakurta

763
Citations
Local, Private, Efficient Protocols for Succinct Histograms

Raef Bassily;Adam Smith

599
Citations
Private Analysis of Graph Structure

Vishesh Karwa;Sofya Raskhodnikova;Adam Smith;Grigory Yaroslavtsev

556
Citations
Composition attacks and auxiliary information in data privacy

Srivatsava Ranjit Ganta;Shiva Prasad Kasiviswanathan;Adam Smith

496
Citations
Toward privacy in public databases

Shuchi Chawla;Cynthia Dwork;Frank McSherry;Adam Smith

382
Citations
Analyzing graphs with node differential privacy

Shiva Prasad Kasiviswanathan;Kobbi Nissim;Sofya Raskhodnikova;Adam Smith

360
Citations
Authentication of Quantum Messages.

Howard Barnum;Claude Crépeau;Daniel Gottesman;Adam D. Smith

357
Citations
Leftover Hashing Against Quantum Side Information

M. Tomamichel;C. Schaffner;A. Smith;R. Renner

338
Citations
Secure remote authentication using biometric data

Xavier Boyen;Yevgeniy Dodis;Jonathan Katz;Rafail Ostrovsky

338
Citations
Private Convex Empirical Risk Minimization and High-dimensional Regression

Daniel Kifer;Adam Smith;Abhradeep Thakurta

336
Citations
Differential Privacy for Statistics: What we Know and What we Want to Learn

Cynthia Dwork;Adam D. Smith

322
Citations
Discovering frequent patterns in sensitive data

Raghav Bhaskar;Srivatsan Laxman;Adam Smith;Abhradeep Thakurta

310
Citations
What Can We Learn Privately

S.P. Kasiviswanathan;H.K. Lee;K. Nissim;S. Raskhodnikova

301
Citations
Privacy-preserving statistical estimation with optimal convergence rates

Adam Smith

286
Citations
Exposed! A Survey of Attacks on Private Data

Cynthia Dwork;Adam Smith;Thomas Steinke;Jonathan Ullman

256
Citations
Distributed Differential Privacy via Shuffling

Albert Cheu;Adam D. Smith;Jonathan R. Ullman;David Zeber

208
Citations
Differentially Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds

Raef Bassily;Adam Smith;Abhradeep Thakurta

88
Citations

Frequent Co-Authors

Jonathan Ullman Northeastern University

Leonid Reyzin Boston University

Yevgeniy Dodis New York University

Kobbi Nissim Georgetown University

Jonathan Katz University of Maryland, College Park

Abhradeep Thakurta Google (United States)

Rafail Ostrovsky University of California, Los Angeles

Cynthia Dwork Harvard University

Daniel Gottesman University of Maryland, College Park

Claude Crépeau McGill University

External Links

Wikipedia of Adam Smith Personal website of Adam Smith Google Scholar page

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