Daniel S. Roche

562 total citations
28 papers, 207 citations indexed

About

Daniel S. Roche is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Daniel S. Roche has authored 28 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 13 papers in Information Systems. Recurrent topics in Daniel S. Roche's work include Polynomial and algebraic computation (15 papers), Coding theory and cryptography (9 papers) and Cryptography and Residue Arithmetic (9 papers). Daniel S. Roche is often cited by papers focused on Polynomial and algebraic computation (15 papers), Coding theory and cryptography (9 papers) and Cryptography and Residue Arithmetic (9 papers). Daniel S. Roche collaborates with scholars based in United States, Canada and France. Daniel S. Roche's co-authors include Mark Giesbrecht, Seung Geol Choi, Adam J. Aviv, Arkady Yerukhimovich, Daniel Apon, David Harvey, Radu Sion, Travis Mayberry, Clément Pernet and Jean‐Guillaume Dumas and has published in prestigious journals such as SIAM Journal on Matrix Analysis and Applications, Algorithmica and Journal of Symbolic Computation.

In The Last Decade

Daniel S. Roche

25 papers receiving 204 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel S. Roche United States	10	149	106	70	35	22	28	207
Takeshi Shimoyama Japan	6	121 0.8×	103 1.0×	40 0.6×	11 0.3×	33 1.5×	28	205
Andreas Enge France	9	207 1.4×	72 0.7×	189 2.7×	31 0.9×	33 1.5×	20	281
Adi Akavia Israel	9	131 0.9×	56 0.5×	21 0.3×	35 1.0×	47 2.1×	20	200
Emmanuel Thomé France	8	133 0.9×	58 0.5×	122 1.7×	25 0.7×	16 0.7×	20	194
Baofeng Wu China	9	189 1.3×	31 0.3×	15 0.2×	25 0.7×	15 0.7×	29	237
Andrej Bauer Slovenia	10	187 1.3×	202 1.9×	27 0.4×	17 0.5×	5 0.2×	41	277
Andrew V. Sutherland United States	11	88 0.6×	43 0.4×	92 1.3×	7 0.2×	10 0.5×	28	252
Dominic Orchard United Kingdom	9	182 1.2×	86 0.8×	51 0.7×	53 1.5×	7 0.3×	38	238
M. Alekhnovich United States	9	239 1.6×	242 2.3×	14 0.2×	76 2.2×	12 0.5×	13	330
Gudmund Skovbjerg Frandsen Denmark	9	124 0.8×	118 1.1×	25 0.4×	25 0.7×	7 0.3×	38	187

Countries citing papers authored by Daniel S. Roche

Since Specialization

Citations

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

Fields of papers citing papers by Daniel S. Roche

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Roche. 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 S. Roche. The network helps show where Daniel S. Roche may publish in the future.

Co-authorship network of co-authors of Daniel S. Roche

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Roche. A scholar is included among the top collaborators of Daniel S. Roche based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel S. Roche. Daniel S. Roche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Dumas, Jean‐Guillaume, Aude Maignan, Clément Pernet, & Daniel S. Roche. (2023). VESPo: Verified Evaluation of Secret Polynomials (with application to dynamic proofs of retrievability). Proceedings on Privacy Enhancing Technologies. 2023(3). 354–374.

2.

Kaptchuk, Gabriel, et al.. (2021). Improving Signal's Sealed Sender. 2 indexed citations

3.

Roche, Daniel S., et al.. (2020). Twice as Nice? A Preliminary Evaluation of Double Android Unlock Patterns. 1–7. 1 indexed citations

4.

Pernet, Clément, et al.. (2020). Verification protocols with sub-linear communication for polynomial matrix operations. Journal of Symbolic Computation. 105. 165–198.

5.

Jeannerod, Claude-Pierre, Théo Mary, Clément Pernet, & Daniel S. Roche. (2019). Exploiting Fast Matrix Arithmetic in Block Low-Rank Factorizations. MIMS EPrints (University of Southampton). 1 indexed citations

6.

Jeannerod, Claude-Pierre, Théo Mary, Clément Pernet, & Daniel S. Roche. (2019). Improving the Complexity of Block Low-Rank Factorizations with Fast Matrix Arithmetic. SIAM Journal on Matrix Analysis and Applications. 40(4). 1478–1496. 3 indexed citations

7.

Dumas, Jean‐Guillaume, et al.. (2019). Poster. 2601–2603. 4 indexed citations

8.

Giorgi, Pascal, et al.. (2019). Generic Reductions for In-place Polynomial Multiplication. HAL (Le Centre pour la Communication Scientifique Directe). 187–194. 2 indexed citations

9.

Joshi, Karuna Pande, et al.. (2016). Managing Cloud Storage Obliviously. Maryland Shared Open Access Repository (USMAI Consortium). 990–993. 5 indexed citations

10.

Roche, Daniel S., et al.. (2016). Sparse polynomials in FLINT. ACM communications in computer algebra. 50(3). 105–108. 1 indexed citations

11.

Roche, Daniel S., Adam J. Aviv, & Seung Geol Choi. (2016). A Practical Oblivious Map Data Structure with Secure Deletion and History Independence. 178–197. 30 indexed citations

12.

Giesbrecht, Mark, et al.. (2015). Faster sparse multivariate polynomial interpolation of straight-line programs. Journal of Symbolic Computation. 75. 4–24. 15 indexed citations

13.

Roche, Daniel S., et al.. (2015). Parallel sparse interpolation using small primes. 70–77.

14.

Giesbrecht, Mark, et al.. (2014). Faster sparse polynomial interpolation of straight-line programs over finite fields.. arXiv (Cornell University). 2 indexed citations

15.

Roche, Daniel S., et al.. (2014). Multivariate sparse interpolation using randomized Kronecker substitutions. 35–42. 9 indexed citations

16.

Giesbrecht, Mark & Daniel S. Roche. (2011). Detecting lacunary perfect powers and computing their roots. Journal of Symbolic Computation. 46(11). 1242–1259. 3 indexed citations

17.

Giesbrecht, Mark & Daniel S. Roche. (2011). Diversification improves interpolation. 123–130. 16 indexed citations

18.

Harvey, David & Daniel S. Roche. (2010). An in-place truncated fourier transform and applications to polynomial multiplication. 325–329. 7 indexed citations

19.

Roche, Daniel S.. (2009). Space- and time-efficient polynomial multiplication. 295–302. 12 indexed citations

20.

Giesbrecht, Mark & Daniel S. Roche. (2008). On lacunary polynomial perfect powers. 103–110. 4 indexed citations

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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