Florin Gorunescu

3.0k citations
54 papers · 1.9k indexed · h-index 22
Topics
Neural Networks and Applications (10 papers)Pancreatic and Hepatic Oncology Research (8 papers)Liver Disease Diagnosis and Treatment (8 papers)

In The Last Decade

Florin Gorunescu

51 papers receiving 1.8k citations

Peers

Florin Gorunescu
Comparison fields: 5 of 145
  • Oncology 647
  • Surgery 527
  • Radiology, Nuclear Medicine and Imaging 417
  • Artificial Intelligence 353
  • Emergency Medical Services 283
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Countries citing papers authored by Florin Gorunescu

Since Specialization
Citations

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

Fields of papers citing papers by Florin Gorunescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florin Gorunescu

This figure shows the co-authorship network connecting the top 25 collaborators of Florin Gorunescu. A scholar is included among the top collaborators of Florin 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 Florin Gorunescu. Florin Gorunescu 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 20
2 21
3 34
4 23
5 64
6
A Survey on Feature Ranking by Means of Evolutionary Computation
6
7
Evolutionary-based intelligent decision model to optimize the liver fibrosis stadialization
1
8 38
9 136
10
Endoscopic Ultrasound Elastography in the Diagnosis of Pancreatic Cancer
2
11
Assessing performances of unsupervised and supervised neural networks in breast cancer detection
2
12
Evaluation on liver fibrosis stages using the k-means clustering algorithm
0
13
Evaluation of the Feature Space of an Erythematosquamous Dataset Using Rough Sets
9
14 194
15 85
16
Generalized net model with intuitionistic fuzzy estimations of the process of obtaining of scientific titles and degrees
2
17
Immunohistochemical assessment of angiogenesis in primary hepatocellular carcinoma.
5
18 10
19 83
20 105

About Florin Gorunescu

Florin Gorunescu is a scholar working on Emergency Medical Services, Hepatology and Health Information Management, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Pancreatic and Hepatic Oncology Research (8 papers) and Liver Disease Diagnosis and Treatment (8 papers). The work is most often cited by research in Emergency Medical Services (283 citations), Health Information Management (117 citations) and Oncology (647 citations). Florin Gorunescu has collaborated with scholars based in Romania, United Kingdom and Denmark. Frequent co-authors include Smaranda Belciug, Adrian Săftoiu, Sally McClean, Peter H. Millard, Peter Vilmann, Tudorel Ciurea, Marina Gorunescu, Hazem Hassan, Dan Ionuț Gheonea and Sevastiţa Iordache. Their work appears in journals such as Expert Systems with Applications, Journal of the Operational Research Society and Gastrointestinal Endoscopy.

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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