Agnessa Kovaleva

54 papers receiving 394 citations

Peers

Agnessa Kovaleva
Comparison fields: 5 of 61
  • Statistical and Nonlinear Physics 231
  • Computer Networks and Communications 189
  • Atomic and Molecular Physics, and Optics 151
  • Civil and Structural Engineering 71
  • Control and Systems Engineering 71
Replace Liangqiang Zhou with:
Liangqiang Zhou China
Yiorgos‐Sokratis Smyrlis Cyprus
Qinghua Feng China
Petre P. Teodorescu Romania
Louis A. Bauer United States
Ziqi Wang China
S. M. Sun United States
M. Tadi United States
Lubomír Brančík Czechia
Chunhua Wang China
Agnessa Kovaleva relative to Liangqiang Zhou China Liangqiang Zhou's profile →
Citations per field
00.5×6.9×
Liangqiang Zhou · 1×
Citations per year

Countries citing papers authored by Agnessa Kovaleva

Since Specialization
Citations

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

Fields of papers citing papers by Agnessa Kovaleva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agnessa Kovaleva

This figure shows the co-authorship network connecting the top 25 collaborators of Agnessa Kovaleva. A scholar is included among the top collaborators of Agnessa Kovaleva 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 Agnessa Kovaleva. Agnessa Kovaleva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 2
3 6
4 1
5 5
6 11
7 18
8 23
9 10
10 22
11 14
12 17
13 46
14 16
15 10
16 1
17 2
18 33
19 2
20 3

About Agnessa Kovaleva

Agnessa Kovaleva is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Statistics, Probability and Uncertainty, having authored 56 papers that have together received 416 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (25 papers), Nonlinear Photonic Systems (16 papers) and Mechanical and Optical Resonators (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (231 citations), Computer Networks and Communications (189 citations) and Statistics, Probability and Uncertainty (46 citations). Agnessa Kovaleva has collaborated with scholars based in Russia, United States and Israel. Frequent co-authors include Leonid I. Manevitch, Yuriy A. Kosevich, Л. Д. Акуленко, Yuli Starosvetsky, В. В. Смирнов, Grigori Sigalov, Andrew V. Shipilov and Vladimir Babitsky. Their work appears in journals such as IEEE Transactions on Automatic Control, Physica D Nonlinear Phenomena and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

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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