M. Ignova

403 total citations
26 papers, 320 citations indexed

About

M. Ignova is a scholar working on Ocean Engineering, Civil and Structural Engineering and Control and Systems Engineering. According to data from OpenAlex, M. Ignova has authored 26 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ocean Engineering, 13 papers in Civil and Structural Engineering and 10 papers in Control and Systems Engineering. Recurrent topics in M. Ignova's work include Drilling and Well Engineering (15 papers), Tunneling and Rock Mechanics (13 papers) and Oil and Gas Production Techniques (11 papers). M. Ignova is often cited by papers focused on Drilling and Well Engineering (15 papers), Tunneling and Rock Mechanics (13 papers) and Oil and Gas Production Techniques (11 papers). M. Ignova collaborates with scholars based in United Kingdom, British Virgin Islands and United States. M. Ignova's co-authors include G.A. Montague, Alan C. Ward, Junichi Sugiura, A.J. Morris, Jarka Glassey, Ling Li, Gopal Chandra Paul, Edward Richards, C. R. Thomas and Jinsoo Kim and has published in prestigious journals such as Biotechnology and Bioengineering, Journal of Biotechnology and Computers & Chemical Engineering.

In The Last Decade

M. Ignova

21 papers receiving 267 citations

Peers

M. Ignova
Mengjiao Yang China
Chengbin Chen China
Benoît Daireaux Norway
Fionn Iversen Norway
H.H.J. Bloemen Netherlands
Hamid Khodabandehlou United States
Manxi Lin Denmark
Eric Maidla Australia
Manling Wang China
F.S. Young United States
Mengjiao Yang China
M. Ignova
Citations per year, relative to M. Ignova M. Ignova (= 1×) peers Mengjiao Yang

Countries citing papers authored by M. Ignova

Since Specialization
Citations

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

Fields of papers citing papers by M. Ignova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ignova

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ignova. A scholar is included among the top collaborators of M. Ignova 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 M. Ignova. M. Ignova 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
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Ignova, M., et al.. (2023). Downhole Trajectory Automation of RSS Tools: Autonomous Drilling Becomes Reality. SPE/IADC International Drilling Conference and Exhibition. 8 indexed citations
4.
Ignova, M., et al.. (2022). Auto-Curve: Downhole Trajectory Automation with Cost Reduction to the Operator by Reducing the Time-to-Target. International Petroleum Technology Conference. 7 indexed citations
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Ignova, M., et al.. (2021). A Medical-Inspired Framework to Classify Downhole Shocks Waveforms While Drilling. SPE/IADC International Drilling Conference and Exhibition. 3 indexed citations
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Ignova, M., et al.. (2019). Recognizing Abnormal Shock Signatures During Drilling with Help of Machine Learning. SPE Middle East Oil and Gas Show and Conference. 8 indexed citations
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Sugiura, Junichi, et al.. (2016). Continuous High-Frequency Measurements of the Drilling Process Provide New Insights Into Drilling-System Response and Transitions Between Vibration Modes. SPE Drilling & Completion. 31(2). 106–118. 37 indexed citations
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Ignova, M., et al.. (2012). A Hybrid Approach to Closed-loop Directional Drilling Control using Rotary Steerable Systems. IFAC Proceedings Volumes. 45(8). 84–89. 18 indexed citations
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Montague, G.A., Jarka Glassey, M. Ignova, et al.. (2002). HYBRID MODELLING FOR ON-LINE PENICILLIN FERMENTATION OPTIMISATION. IFAC Proceedings Volumes. 35(1). 395–400. 10 indexed citations
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Ignova, M., G.A. Montague, Alan C. Ward, & Jarka Glassey. (1999). Fermentation seed quality analysis with self-organising neural networks. Biotechnology and Bioengineering. 64(1). 82–91. 17 indexed citations
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Ignova, M., G.A. Montague, Alan C. Ward, & Jarka Glassey. (1999). Fermentation seed quality analysis with self-organising neural networks. Biotechnology and Bioengineering. 64(1). 82–82. 1 indexed citations
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Ignova, M., et al.. (1998). Hybrid Modeling and Optimisation of Industrial Fed-Batch Fermentation Process. IFAC Proceedings Volumes. 31(8). 271–276.
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Ignova, M., et al.. (1997). Bioprocess supervision: neural networks and knowledge based systems. Journal of Biotechnology. 52(3). 201–205. 39 indexed citations
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Ignova, M., et al.. (1997). Multivariate statistical methods in bioprocess fault detection and performance forecasting. Transactions of the Institute of Measurement and Control. 19(5). 271–279. 16 indexed citations
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Paul, Gopal Chandra, Jarka Glassey, Alan C. Ward, et al.. (1996). Towards intelligent process supervision: Industrial penicillin fermentation case study. Computers & Chemical Engineering. 20. S545–S550. 6 indexed citations
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Ignova, M., et al.. (1995). Seed Data Analysis for Production Fermenter Performance Estimation. IFAC Proceedings Volumes. 28(3). 53–58. 3 indexed citations
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Ignova, M., et al.. (1994). Knowledge integration for improved bioprocess supervision. Annual Review in Automatic Programming. 19. 269–273. 2 indexed citations
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Ignova, M., et al.. (1994). Autoassociative Neural Networks in Bioprocess Condition Monitoring. IFAC Proceedings Volumes. 27(2). 445–449. 8 indexed citations

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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