Marina Gorunescu

637 total citations
19 papers, 406 citations indexed

About

Marina Gorunescu is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Marina Gorunescu has authored 19 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Information Systems. Recurrent topics in Marina Gorunescu's work include Neural Networks and Applications (8 papers), AI in cancer detection (6 papers) and Liver Disease Diagnosis and Treatment (3 papers). Marina Gorunescu is often cited by papers focused on Neural Networks and Applications (8 papers), AI in cancer detection (6 papers) and Liver Disease Diagnosis and Treatment (3 papers). Marina Gorunescu collaborates with scholars based in Romania, United Kingdom and Egypt. Marina Gorunescu's co-authors include Florin Gorunescu, Adrian Săftoiu, Dan Ionuț Gheonea, Tudorel Ciurea, Sevastiţa Iordache, Alexandru Iordache, G Popescu, Peter Vilmann, Hazem Hassan and Smaranda Belciug and has published in prestigious journals such as Expert Systems with Applications, Gastrointestinal Endoscopy and International Journal of General Systems.

In The Last Decade

Marina Gorunescu

17 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marina Gorunescu Romania 10 160 130 118 103 49 19 406
Ruikai Zhang China 10 281 1.8× 249 1.9× 253 2.1× 37 0.4× 25 0.5× 16 585
Friederike Jungmann Germany 9 99 0.6× 326 2.5× 235 2.0× 25 0.2× 33 0.7× 15 648
Sarfaraz Hussein United States 7 102 0.6× 206 1.6× 248 2.1× 23 0.2× 29 0.6× 12 458
Meng-Ju Hsieh Taiwan 13 41 0.3× 63 0.5× 42 0.4× 29 0.3× 20 0.4× 21 340
Mehrad Aria Iran 11 36 0.2× 174 1.3× 175 1.5× 28 0.3× 27 0.6× 14 367
R Schulz-Wendtland Germany 9 41 0.3× 204 1.6× 121 1.0× 37 0.4× 27 0.6× 23 409
R. Summers United Kingdom 11 50 0.3× 35 0.3× 137 1.2× 207 2.0× 19 0.4× 58 606
Sigrun Losada Eskeland Norway 13 454 2.8× 363 2.8× 371 3.1× 49 0.5× 20 0.4× 24 977
Saqib Qamar China 10 38 0.2× 119 0.9× 86 0.7× 18 0.2× 35 0.7× 22 382
Surbhi Gupta India 15 42 0.3× 268 2.1× 188 1.6× 13 0.1× 118 2.4× 24 563

Countries citing papers authored by Marina Gorunescu

Since Specialization
Citations

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

Fields of papers citing papers by Marina Gorunescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Gorunescu

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

All Works

19 of 19 papers shown
1.
Gorunescu, Florin, et al.. (2014). Neural Computing: Application in Non-Invasive Cancer Detection. 2(1). 38–44. 1 indexed citations
2.
Gorunescu, Florin, Smaranda Belciug, Marina Gorunescu, & Radu Badea. (2012). Intelligent decision-making for liver fibrosis stadialization based on tandem feature selection and evolutionary-driven neural network. Expert Systems with Applications. 39(17). 12824–12832. 25 indexed citations
3.
Săftoiu, Adrian, Peter Vilmann, Florin Gorunescu, et al.. (2010). Endoscopic Ultrasound Elastography in the Diagnosis of Pancreatic Cancer. Annals of Gastroenterology. 23(3). 200–201. 2 indexed citations
4.
Belciug, Smaranda, Florin Gorunescu, Marina Gorunescu, & Abdel-Badeeh M. Salem. (2010). Assessing performances of unsupervised and supervised neural networks in breast cancer detection. 1–8. 2 indexed citations
5.
Gorunescu, Florin, Marina Gorunescu, Adrian Săftoiu, Peter Vilmann, & Smaranda Belciug. (2010). Competitive/collaborative neural computing system for medical diagnosis in pancreatic cancer detection. Expert Systems. 28(1). 33–48. 21 indexed citations
6.
Gorunescu, Florin, et al.. (2010). A statistical framework for evaluating neural networks to predict recurrent events in breast cancer. International Journal of General Systems. 39(5). 471–488. 11 indexed citations
7.
Gorunescu, Florin, Smaranda Belciug, Elia El‐Darzi, & Marina Gorunescu. (2010). Patient grouping optimization using a hybrid self-organizing map and Gaussian mixture model for length of stay-based clustering system. WestminsterResearch (University of Westminster). 58. 173–178. 3 indexed citations
8.
Belciug, Smaranda, Abdel-Badeeh M. Salem, Florin Gorunescu, & Marina Gorunescu. (2010). Clustering-based approach for detecting breast cancer recurrence. 533–538. 27 indexed citations
9.
Gorunescu, Marina, et al.. (2009). Evaluation on liver fibrosis stages using the k-means clustering algorithm. Annals of the University of Craiova Mathematics and Computer Science Series. 36(2). 19–24.
10.
Săftoiu, Adrian, Peter Vilmann, Florin Gorunescu, et al.. (2008). Neural network analysis of dynamic sequences of EUS elastography used for the differential diagnosis of chronic pancreatitis and pancreatic cancer. Gastrointestinal Endoscopy. 68(6). 1086–1094. 194 indexed citations
11.
Gorunescu, Florin, et al.. (2008). A statistical evaluation of neural computing approaches to predict recurrent events in breast cancer. WestminsterResearch (University of Westminster). 11–38. 5 indexed citations
12.
Săftoiu, Adrian, et al.. (2008). The role of real-time elastography in the non-invasive assessment of fibrosis in diffuse hepatopathies. Ultraschall in der Medizin - European Journal of Ultrasound. 29(S 1). 1 indexed citations
13.
Săftoiu, Adrian, Peter Vilmann, Florin Gorunescu, et al.. (2008). Neural Network Analysis of Dynamic Sequences of EUS Elastography Used for the Differential Diagnosis of Chronic Pancreatitis and Pancreatic Cancer. Gastrointestinal Endoscopy. 67(5). AB97–AB97. 17 indexed citations
14.
Revett, Kenneth, et al.. (2007). A machine learning approach to keystroke dynamics based user authentication. International Journal of Electronic Security and Digital Forensics. 1(1). 55–55. 41 indexed citations
15.
Revett, Kenneth, et al.. (2006). Mining A Primary Biliary Cirrhosis Dataset Using Rough Sets and a Probabilistic Neural Network. 284–289. 8 indexed citations
16.
Gorunescu, Florin, et al.. (2005). Statistical Comparison of a Probabilistic Neural Network Approach in Hepatic Cancer Diagnosis. 237–240. 15 indexed citations
17.
Gorunescu, Florin, et al.. (2005). An Evolutionary Computational Approach to Probabilistic Neural Network with Application to Hepatic Cancer Diagnosis. WestminsterResearch (University of Westminster). 461–466. 14 indexed citations
18.
Revett, Kenneth, et al.. (2005). A Breast Cancer Diagnosis System: A Combined Approach Using Rough Sets and Probabilistic Neural Networks. 28. 1124–1127. 17 indexed citations
19.
Gorunescu, Marina, et al.. (2002). Continuous-time Markov model for geriatric patients behavior. Optimization of the bed occupancy and computer simulation. Journal of Applied Mathematics and Computing. 9(1). 185–195. 2 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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