Nikolay Mateev

493 citations
19 papers · 365 · h-index 10

Impact in

Papers in

Nikolay Mateev

19 papers receiving 344 citations

Peers

Nikolay Mateev
Comparison fields: 5 of 23
  • Hardware and Architecture 308
  • Computational Mathematics 14
  • Computer Networks and Communications 220
  • Software 28
  • Computational Theory and Mathematics 59
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Citations per field
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Citations per year

Countries citing papers authored by Nikolay Mateev

Since Specialization
Citations

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

Fields of papers citing papers by Nikolay Mateev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Nikolay Mateev, 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 Nikolay Mateev Line = papers co-authored together Nikolay Mateev links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 200268
2 200050
3 200047
4 200045
5 200129
6 200025
7 200323
8 200022
9 200012
10 200111
11 20007
12
A Generic Programming System for Sparse Matrix Computations
19994
13
Tiling Imperfectly-nested Loop Nests (REVISED)
20004
14
Tiling Imperfectly-nested Loops
19994
15 20143
16 20023
17
Compiling Imperfectly-nested Sparse Matrix Codes with Dependences
20003
18
Fractal Symbolic Analysis for Program Transformations (*new file*)
20003
19
The Bernoulli Generic Matrix Library
20002

About Nikolay Mateev

Nikolay Mateev is a scholar working on Hardware and Architecture, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 19 papers that have together received 365 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (18 papers), Embedded Systems Design Techniques (6 papers), Logic, programming, and type systems (4 papers), Low-power high-performance VLSI design (4 papers), Software Engineering Research (3 papers), Formal Methods in Verification (3 papers), Algorithms and Data Compression (2 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Hardware and Architecture (308 citations), Computational Mathematics (14 citations), Computer Networks and Communications (220 citations), Software (28 citations) and Computational Theory and Mathematics (59 citations). Nikolay Mateev has collaborated with scholars based in United States. Frequent co-authors include Keshav Pingali, Nawaaz Ahmed, Paul Stodghill, Vijay Menon, Paolo Faraboschi, Giuseppe Desoli, Joseph A. Fisher, Vladimir Kotlyar and Evelyn Duesterwald. Their work appears in journals such as ACM Transactions on Programming Languages and Systems, Lecture notes in computer science, International Journal of Parallel Programming, International Symposium on Microarchitecture and eCommons (Cornell University).

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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