Anna Gorbenko

66 papers receiving 451 citations

Peers

Anna Gorbenko
Comparison fields: 5 of 51
  • Computer Networks and Communications 326
  • Computer Vision and Pattern Recognition 273
  • Artificial Intelligence 428
  • Genetics 286
  • Computer Graphics and Computer-Aided Design 34
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Citations per year

Countries citing papers authored by Anna Gorbenko

Since Specialization
Citations

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

Fields of papers citing papers by Anna Gorbenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Anna Gorbenko, 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 Anna Gorbenko Line = papers co-authored together Anna Gorbenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201267
2 201251
3 201149
4
The Longest Common Subsequence Problem
201245
5 201144
6
On the problem of placement of visual landmarks
201241
7
Robot Self-Awareness: Exploration of Internal States
201241
8 201134
9
The longest common parameterized subsequence problem
201231
10
The Problem of Sensor Placement
201231
11
Robot self-awareness: Temporal relation based data mining
201129
12
The c-Fragment Longest Arc-Preserving Common Subsequence Problem
201229
13
Computational Experiments for the Problem of Selection of a Minimal Set of Visual Landmarks
201228
14
The Force Law Design of Artificial Physics Optimization for Robot Anticipation of Motion
201227
15 201126
16
A Real-World Experiments Setup for Investigations of the Problem of Visual Landmarks Selection for Mobile Robots
201222
17
Multi-agent Path Planning
201221
18
The Problem of Finding Two Edge-Disjoint Hamiltonian Cycles
201220
19
Robot Self-Awareness: Occam's Razor for Fluents
201220
20
The Binary Paint Shop Problem
201220

About Anna Gorbenko

Anna Gorbenko is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Genetics and Molecular Biology, having authored 76 papers that have together received 930 indexed citations. Recurring topics across this work include Genome Rearrangement Algorithms (19 papers), DNA and Biological Computing (18 papers), Robotic Path Planning Algorithms (17 papers), Algorithms and Data Compression (16 papers), Optimization and Search Problems (14 papers), Modular Robots and Swarm Intelligence (11 papers), Robotics and Sensor-Based Localization (8 papers) and Data Management and Algorithms (6 papers). The work is most often cited by research in Computer Networks and Communications (326 citations), Computer Vision and Pattern Recognition (273 citations), Artificial Intelligence (428 citations), Genetics (286 citations) and Computer Graphics and Computer-Aided Design (34 citations). Anna Gorbenko has collaborated with scholars based in Russia, United States and Bangladesh. Frequent co-authors include Vladimir Popov, Helena Silva, Faruk Dirisağlık, Ali Gokirmak, Bicky Shakya, Marten van Dijk and Domenic Forte. Their work appears in journals such as IEEE Transactions on Nanotechnology, Theoretical Computer Science, Beilstein Journal of Nanotechnology, Applied Intelligence and Advanced Studies in Theoretical Physics.

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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