Dima Grigoriev

1.6k citations
70 papers · 553 · h-index 12

Impact in

Papers in

Dima Grigoriev

62 papers receiving 509 citations

Peers

Dima Grigoriev
Comparison fields: 5 of 59
  • Computational Theory and Mathematics 369
  • Computational Mathematics 12
  • Algebra and Number Theory 51
  • Computer Graphics and Computer-Aided Design 33
  • Discrete Mathematics and Combinatorics 25
Replace Neeraj Kayal with:
Neeraj Kayal India
Richard Zippel United States
Rüdiger Loos Germany
Amir Yehudayoff Israel
Arne Storjohann Canada
Gilles Villard France
B. David Saunders United States
B. F. Caviness United States
Mark Giesbrecht Canada
D. Yu. Grigor'ev Russia
Dima Grigoriev relative to Neeraj Kayal India Neeraj Kayal's profile →
Citations per field
00.5×3.4×
Neeraj Kayal · 1×
Citations per year

Countries citing papers authored by Dima Grigoriev

Since Specialization
Citations

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

Fields of papers citing papers by Dima Grigoriev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200179
2 201446
3 200141
4 200137
5 201529
6 199429
7 199723
8 199620
9 201217
10 199115
11 201912
12 200511
13 201510
14 201410
15 20129
16 20139
17 20058
18 20098
19 20067
20 20137

About Dima Grigoriev

Dima Grigoriev is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Geometry and Topology, Algebra and Number Theory and Molecular Biology, having authored 70 papers that have together received 553 indexed citations. Recurring topics across this work include Polynomial and algebraic computation (25 papers), Coding theory and cryptography (13 papers), Commutative Algebra and Its Applications (10 papers), Complexity and Algorithms in Graphs (10 papers), Gene Regulatory Network Analysis (8 papers), Cryptography and Data Security (7 papers), Advanced Numerical Analysis Techniques (7 papers) and Formal Methods in Verification (6 papers). The work is most often cited by research in Computational Theory and Mathematics (369 citations), Computational Mathematics (12 citations), Algebra and Number Theory (51 citations), Computer Graphics and Computer-Aided Design (33 citations) and Discrete Mathematics and Combinatorics (25 citations). Dima Grigoriev has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Marek Karpiński, Vladimir Shpilrain, Nicolai Vorobjov, Michael F. Singer, Felipe Cucker, Russell Impagliazzo, Sam Buss, Fritz Schwarz, Toniann Pitassi and Andreas Weber⋆. Their work appears in journals such as Computational Complexity, SIAM Journal on Computing, Journal of Complexity, Advances in Applied Mathematics and Foundations of Computational Mathematics.

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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