Vladimir Kotlyar

604 citations
14 papers · 259 indexed · h-index 6
Journals
Data Mining and Knowledge Discovery (1 paper)eCommons (Cornell University) (3 papers)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)

In The Last Decade

Vladimir Kotlyar

14 papers receiving 230 citations

Peers

Vladimir Kotlyar
Comparison fields: 5 of 41
  • Computational Mathematics 9
  • Hardware and Architecture 88
  • Information Systems 124
  • Marketing 45
  • Computer Networks and Communications 86
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Citations per year

Countries citing papers authored by Vladimir Kotlyar

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Kotlyar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside Vladimir Kotlyar, 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 Vladimir Kotlyar Line = papers co-authored together Vladimir Kotlyar links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20072
2 20062
3 20064
4
SOFTWARE RAKE RECEIVER ENHANCED GPS SYSTEM
20041
5 20044
6
Software defined global positioning satellite receiver
20036
7 2001147
8 200044
9
A Generic Programming System for Sparse Matrix Computations
19994
10
Relational Algebraic Techniques for the Synthesis of Sparse Matrix Programs
19995
11
Compiling Parallel Sparse Code for User-Defined Data Structures.
199712
12 19979
13 199718
14
Unified framework for sparse and dense SPMD code generation (preliminary report)
19971

About Vladimir Kotlyar

Vladimir Kotlyar is a scholar working on Computational Mathematics, Hardware and Architecture and Computer Networks and Communications, having authored 14 papers that have together received 259 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (6 papers), Advanced Database Systems and Queries (2 papers), Distributed and Parallel Computing Systems (2 papers), Numerical Methods and Algorithms (2 papers), Matrix Theory and Algorithms (2 papers), Satellite Communication Systems (1 paper), Bluetooth and Wireless Communication Technologies (1 paper) and Advanced Adaptive Filtering Techniques (1 paper). The work is most often cited by research in Computational Mathematics (9 citations), Hardware and Architecture (88 citations) and Information Systems (124 citations). Vladimir Kotlyar has collaborated with scholars based in United States, Netherlands and Finland. Frequent co-authors include Richard D. Lawrence, George Almási, Keshav Pingali, Marisa Viveros, Sastry Duri, Paul Stodghill, Nikolay Mateev, Mayan Moudgill, Jarmo Takala and D. Iancu. Their work appears in journals such as Data Mining and Knowledge Discovery, eCommons (Cornell University) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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