G. A. Virnovsky

745 citations
38 papers · 647 indexed · h-index 14
Topics
Enhanced Oil Recovery Techniques (22 papers)Hydraulic Fracturing and Reservoir Analysis (17 papers)Advanced Mathematical Modeling in Engineering (11 papers)

In The Last Decade

G. A. Virnovsky

38 papers receiving 603 citations

Peers

G. A. Virnovsky
Comparison fields: 5 of 47
  • Ocean Engineering 508
  • Mechanical Engineering 336
  • Mechanics of Materials 237
  • Environmental Engineering 224
  • Computational Theory and Mathematics 125
Replace Nitika Kalia with:
Nitika Kalia United Kingdom
Mun-Hong Hui Netherlands
Chaohua Guo United States
Ruben Juanes United States
Ramon G. Bentsen Canada
R. G. Pierson Norway
Jamal H. Abou‐Kassem Canada
Nikolay Evseev Russia
Jiamin Jiang United States
Johan Olav Helland Norway
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Citations per field
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Nitika Kalia · 1×
Citations per year

Countries citing papers authored by G. A. Virnovsky

Since Specialization
Citations

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

Fields of papers citing papers by G. A. Virnovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. A. Virnovsky. 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 G. A. Virnovsky. The network helps show where G. A. Virnovsky may publish in the future.

Co-authorship network of co-authors of G. A. Virnovsky

This figure shows the co-authorship network connecting the top 25 collaborators of G. A. Virnovsky. A scholar is included among the top collaborators of G. A. Virnovsky 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 G. A. Virnovsky. G. A. Virnovsky 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 13
2 20
3 22
4 2
5 6
6 1
7 10
8 3
9 76
10 7
11 1
12 50
13 24
14 54
15 1
16 19
17 33
18 5
19 9
20 1

About G. A. Virnovsky

G. A. Virnovsky is a scholar working on Ocean Engineering, Computational Theory and Mathematics and Environmental Engineering, having authored 38 papers that have together received 647 indexed citations. Recurring topics across this work include Enhanced Oil Recovery Techniques (22 papers), Hydraulic Fracturing and Reservoir Analysis (17 papers) and Advanced Mathematical Modeling in Engineering (11 papers). The work is most often cited by research in Ocean Engineering (508 citations), Environmental Engineering (224 citations) and Mechanics of Materials (237 citations). G. A. Virnovsky has collaborated with scholars based in Norway, United States and Netherlands. Frequent co-authors include Arild Lohne, S. M. Skjæveland, Helmer André Friis, Louis J. Durlofsky, Johannes Mykkeltveit, Yaohao Guo, Dmitriy Silin, S. Bakke, Jan Åge Stensen and P. E. Øren. Their work appears in journals such as Journal of Petroleum Science and Engineering, Computational Materials Science and SPE Journal.

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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