Anna Kirpichnikova

668 citations
18 papers · 474 indexed · 1 hit paper · h-index 5
Topics
Advanced Mathematical Modeling in Engineering (5 papers)Opportunistic and Delay-Tolerant Networks (5 papers)Electromagnetic Scattering and Analysis (4 papers)

In The Last Decade

Anna Kirpichnikova

16 papers receiving 459 citations

Hit Papers

Formulation, stabilisation and encapsulation of bacteriop...20172026202020232017100200300400

Peers

Anna Kirpichnikova
Comparison fields: 5 of 77
  • Ecology 350
  • Microbiology 136
  • Molecular Biology 128
  • Infectious Diseases 82
  • Plant Science 62
Replace Asako Muraoka with:
Asako Muraoka Japan
Aradhana Vipra India
Hans Gerstmans Belgium
Bharathi Sriram India
Charles A. Bowman United States
Keiko C. Salazar United States
Sandra Sánchez Spain
Katrien Vandersteegen Belgium
Xiaolin Jin China
Dana Gebhart United States
Anna Kirpichnikova relative to Asako Muraoka Japan Asako Muraoka's profile →
Citations per field
00.5×3.1×
Asako Muraoka · 1×
Citations per year

Countries citing papers authored by Anna Kirpichnikova

Since Specialization
Citations

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

Fields of papers citing papers by Anna Kirpichnikova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Kirpichnikova

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 28
2 1
3 4
4 1
5 2
6 1
7 0
8 1
9
Formulation, stabilisation and encapsulation of bacteriophage for phage therapybreakdown →
407
10 2
11 2
12 4
13 3
14 0
15 5
16 1
17 7
18 5

About Anna Kirpichnikova

Anna Kirpichnikova is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Computer Networks and Communications, having authored 18 papers that have together received 474 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (5 papers), Opportunistic and Delay-Tolerant Networks (5 papers) and Electromagnetic Scattering and Analysis (4 papers). The work is most often cited by research in Microbiology (136 citations), Ecology (350 citations) and Endocrinology (40 citations). Anna Kirpichnikova has collaborated with scholars based in United Kingdom, Russia and France. Frequent co-authors include Danish J. Malik, Gurinder K. Vinner, I. J. Sokolov, Goran T. Vladisavljević, Martha R. J. Clokie, A.G.F. Stapley, Francesco M. Mancuso, Natalie J. Garton, Anna Sher and Piet H. van der Graaf. Their work appears in journals such as SHILAP Revista de lepidopterología, Advances in Colloid and Interface Science and IEEE Transactions on Antennas and Propagation.

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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