Jelani Nelson

2.4k citations

38 papers · 854 indexed · h-index 14

Computational Mathematics top 5%
Artificial Intelligence top 2%
- Stochastic Gradient Optimization Techniques 9
- Algorithms and Data Compression 6
- Machine Learning and Algorithms 5
- Cryptography and Data Security 5
Computational Theory and Mathematics top 2%
- Complexity and Algorithms in Graphs 12
Computer Networks and Communications top 5%
- Advanced Database Systems and Queries 4
Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques 14
Signal Processing
- Data Management and Algorithms 4

Co-authors: Daniel M. Kane David P. Woodruff Huy L. Nguyên Uri Stemmer Mark Bun Krzysztof Onak Nicholas J. A. Harvey Jeremy T. Fineman
Cited by: Computational Mathematics Artificial Intelligence Computational Theory and Mathematics
Journals: Journal of the ACM (1 paper)Linear Algebra and its Applications (1 paper)Journal of Approximation Theory (1 paper)
Partner nations: United States Israel Germany

In The Last Decade

Jelani Nelson

36 papers receiving 796 citations

Peers

Countries citing papers authored by Jelani Nelson

Since Specialization

Citations

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

Fields of papers citing papers by Jelani Nelson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jelani Nelson, 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 Jelani Nelson Line = papers co-authored together Jelani Nelson links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs Proceedings of the AAAI Conference on Artificial Intelligence ·Edith Cohen,Jelani Nelson,Tamás Sarlós,Uri Stemmer	2023	3
2	Optimal Differentially Private Learning of Thresholds and Quasi-Concave Optimization Edith Cohen,Xin Lyu,Jelani Nelson,Tamás Sarlós,Uri Stemmer	2023	2
3	Terminal Embeddings in Sublinear Time Yeshwanth Cherapanamjeri,Jelani Nelson	2022	4
4	Dimensionality Reduction in Euclidean Space Notices of the American Mathematical Society ·Jelani Nelson	2020	1
5	Heavy Hitters and the Structure of Local Privacy Mark Bun,Jelani Nelson,Uri Stemmer	2018	51
6	Chaining introduction with some computer science applications Digital Access to Scholarship at Harvard (DASH) (Harvard University) ·Jelani Nelson	2016	1
7	The Johnson-Lindenstrauss Lemma Is Optimal for Linear Dimensionality Reduction DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) ·Kasper Green Larsen,Jelani Nelson	2016	5
8	Optimal Approximate Matrix Product in Terms of Stable Rank DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) ·Michael B. Cohen,Jelani Nelson,David P. Woodruff	2016	14
9	Sorting and Selection with Imprecise Comparisons ACM Transactions on Algorithms ·Miklós Ajtai,Vitaly Feldman,Avinatan Hassidim,Jelani Nelson	2015	10
10	Toward a Unified Theory of Sparse Dimensionality Reduction in Euclidean Space Data Archiving and Networked Services (DANS) ·Jean Bourgain,Sjoerd Dirksen,Jelani Nelson	2015	11
11	Spectral Sparsification: The Barrier Method and its Applications Martin Camacho,Jelani Nelson	2014	0
12	On deterministic sketching and streaming for sparse recovery and norm estimation Linear Algebra and its Applications ·Jelani Nelson,Huy L. Nguyên,David P. Woodruff	2013	6
13	Sparsity lower bounds for dimensionality reducing maps Jelani Nelson,Huy L. NguyÅn	2013	16
14	Sparser Johnson-Lindenstrauss transforms Symposium on Discrete Algorithms ·Daniel M. Kane,Jelani Nelson	2012	11
15	Sketching and streaming algorithms for processing massive data XRDS Crossroads The ACM Magazine for Students ·Jelani Nelson	2012	5
16	On the size of incoherent systems Journal of Approximation Theory ·Jelani Nelson,Vladimir Temlyakov	2011	13
17	A Derandomized Sparse Johnson-Lindenstrauss Transform Daniel M. Kane,Jelani Nelson	2010	2
18	Fast Manhattan sketches in data streams Digital Access to Scholarship at Harvard (DASH) (Harvard University) ·Jelani Nelson,David P. Woodruff	2010	13
19	On the Exact Space Complexity of Sketching and Streaming Small Norms Daniel M. Kane,Jelani Nelson,David P. Woodruff	2010	15
20	A Note on Set Cover Inapproximability Independent of Universe Size Electronic colloquium on computational complexity ·Jelani Nelson	2007	7

About Jelani Nelson

Jelani Nelson is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 38 papers that have together received 854 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (14 papers), Complexity and Algorithms in Graphs (12 papers), Stochastic Gradient Optimization Techniques (9 papers), Algorithms and Data Compression (6 papers), Machine Learning and Algorithms (5 papers), Cryptography and Data Security (5 papers), Advanced Database Systems and Queries (4 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Computational Mathematics (37 citations), Artificial Intelligence (540 citations) and Computational Theory and Mathematics (236 citations). Jelani Nelson has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Daniel M. Kane, David P. Woodruff, Huy L. Nguyên, Uri Stemmer, Mark Bun, Krzysztof Onak, Nicholas J. A. Harvey, Jeremy T. Fineman, Michael A. Bender and Bradley C. Kuszmaul. Their work appears in journals such as Journal of the ACM, Linear Algebra and its Applications and Journal of Approximation 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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