V. Cingoski

623 total citations
57 papers, 469 citations indexed

About

V. Cingoski is a scholar working on Electrical and Electronic Engineering, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, V. Cingoski has authored 57 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 15 papers in Computer Graphics and Computer-Aided Design and 14 papers in Computational Mechanics. Recurrent topics in V. Cingoski's work include Electromagnetic Simulation and Numerical Methods (13 papers), Computational Geometry and Mesh Generation (9 papers) and Advanced Numerical Methods in Computational Mathematics (8 papers). V. Cingoski is often cited by papers focused on Electromagnetic Simulation and Numerical Methods (13 papers), Computational Geometry and Mesh Generation (9 papers) and Advanced Numerical Methods in Computational Mathematics (8 papers). V. Cingoski collaborates with scholars based in Japan, North Macedonia and United States. V. Cingoski's co-authors include Hideo Yamashita, Kazufumi Kaneda, Biljana Petrevska, Naoki Miyamoto, So Noguchi, Takayuki Yokoyama, Kenji Inoue, Eihachiro Nakamae, Hideo Kitamura and Akifumi Yamaji and has published in prestigious journals such as Journal of Applied Physics, Journal of Materials Processing Technology and IEEE Transactions on Energy Conversion.

In The Last Decade

V. Cingoski

55 papers receiving 441 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
V. Cingoski Japan 12 177 104 88 69 65 57 469
Yunbao Huang China 15 52 0.3× 80 0.8× 104 1.2× 117 1.7× 19 0.3× 56 490
Seongsin Kim United States 8 158 0.9× 28 0.3× 51 0.6× 121 1.8× 16 0.2× 14 565
Jing Zhu China 12 140 0.8× 73 0.7× 44 0.5× 31 0.4× 3 0.0× 66 502
Yingjie Liu China 11 330 1.9× 17 0.2× 88 1.0× 27 0.4× 55 0.8× 35 522
Keller United States 12 120 0.7× 18 0.2× 39 0.4× 60 0.9× 7 0.1× 38 658
Carlos Roberto Hall Barbosa Brazil 13 190 1.1× 57 0.5× 19 0.2× 83 1.2× 1 0.0× 85 538
Yuming Wang China 14 233 1.3× 190 1.8× 36 0.4× 353 5.1× 2 0.0× 72 837
X.X. Li China 13 76 0.4× 18 0.2× 38 0.4× 48 0.7× 7 0.1× 35 589

Countries citing papers authored by V. Cingoski

Since Specialization
Citations

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

Fields of papers citing papers by V. Cingoski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Cingoski

This figure shows the co-authorship network connecting the top 25 collaborators of V. Cingoski. A scholar is included among the top collaborators of V. Cingoski 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 V. Cingoski. V. Cingoski 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
1.
Cingoski, V. & Biljana Petrevska. (2018). Making hotels more energy efficient: the managerial perception. Economic Research-Ekonomska Istraživanja. 31(1). 87–101. 47 indexed citations
2.
Noguchi, So, et al.. (2017). An Adaptive FEM Based on Magnetic Field Conservation Applying to Ferromagnetic Problems. IEEE Transactions on Magnetics. 54(3). 1–4. 1 indexed citations
3.
Petrevska, Biljana, et al.. (2016). Sustainable Tourism and Hotel Management in Macedonia through the Use of Renewable Energy Sources. Goce Delchev University Repository (Goce Delčev University of Štip). 7(1). 123–132. 8 indexed citations
4.
Petrevska, Biljana & V. Cingoski. (2016). Can Macedonian hotels be green: The evidence of hotel “Flamingo” - Gevgelija, Macedonia. Goce Delchev University Repository (Goce Delčev University of Štip). 2 indexed citations
5.
Petrevska, Biljana, et al.. (2016). From Smart Rooms to Smart Hotels. Goce Delchev University Repository (Goce Delčev University of Štip). 2 indexed citations
6.
Cingoski, V., et al.. (2016). A computer aided education system based on augmented reality by immersion to 3-D magnetic field. Goce Delchev University Repository (Goce Delčev University of Štip). 1–1. 7 indexed citations
7.
Cingoski, V., et al.. (2015). Energy improvements in the hotel industry. Goce Delchev University Repository (Goce Delčev University of Štip). 1 indexed citations
8.
Petrevska, Biljana & V. Cingoski. (2015). Environmental protection and energy efficiency concept in five star hotels in Macedonia. Goce Delchev University Repository (Goce Delčev University of Štip). 4 indexed citations
9.
Petrevska, Biljana & V. Cingoski. (2015). Renewable energy for sustainable tourism: assessment of Macedonian hotels. Goce Delchev University Repository (Goce Delčev University of Štip). 1 indexed citations
10.
Noguchi, So, et al.. (2001). Data Input Support System for Automatic Tetrahedral Mesh Generation Using Dynamic Bubble System. Goce Delchev University Repository (Goce Delčev University of Štip). 4 indexed citations
11.
Cingoski, V., et al.. (2000). Comparison between Nested and Non-Nested Multigrid Methods for Magnetostatic Field Analysis. Goce Delchev University Repository (Goce Delčev University of Štip). 1 indexed citations
12.
Yokoyama, Takayuki, V. Cingoski, Kazufumi Kaneda, & Hideo Yamashita. (1999). Adaptive Finite Element Analysis Using Dynamic Bubble System Taking into Account Magnitude of Magnetic Flux Density. IEEJ Transactions on Industry Applications. 119(11). 1416–1421. 4 indexed citations
13.
Cingoski, V., et al.. (1999). Inverse shape optimization using dynamically adjustable genetic algorithms [electric machine design]. IEEE Transactions on Energy Conversion. 14(3). 661–666. 12 indexed citations
14.
Cingoski, V., et al.. (1998). Inverse Shape Optimization Using Dynamically Adjustable Genetic Algorithms. Goce Delchev University Repository (Goce Delčev University of Štip). 1 indexed citations
15.
Dobashi, Yoshinori, et al.. (1998). A fast volume rendering method for time-varying 3-D scalar field visualization using orthonormal wavelets. IEEE Transactions on Magnetics. 34(5). 3431–3434. 6 indexed citations
16.
Cingoski, V., et al.. (1997). Evaluation of the Characteristics of a Rotating Eddy-Current Probe For ECT Using Edge FEM. Goce Delchev University Repository (Goce Delčev University of Štip). 1 indexed citations
17.
Cingoski, V., et al.. (1997). Adaptive finite element analysis using dynamic bubble system. Goce Delchev University Repository (Goce Delčev University of Štip). 1 indexed citations
18.
Yamashita, Hideo, et al.. (1997). Visual computing concept in finite element analysis. IEEE Transactions on Magnetics. 33(2). 1982–1985. 2 indexed citations
19.
Cingoski, V. & Hideo Yamashita. (1995). A mixed solving procedure for ungauged 3D edge finite element analysis. IEEE Transactions on Magnetics. 31(3). 1702–1705. 1 indexed citations
20.
Yamashita, Hideo & V. Cingoski. (1994). The Hopfield Neural Network and its Application for direct Solution and inverse Optimization in Finite Element Analysis. Goce Delchev University Repository (Goce Delčev University of Štip).

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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