Daniel Neagu

2.5k total citations
92 papers, 1.4k citations indexed

About

Daniel Neagu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Daniel Neagu has authored 92 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 17 papers in Information Systems. Recurrent topics in Daniel Neagu's work include Computational Drug Discovery Methods (16 papers), Neural Networks and Applications (12 papers) and Fuzzy Logic and Control Systems (9 papers). Daniel Neagu is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Neural Networks and Applications (12 papers) and Fuzzy Logic and Control Systems (9 papers). Daniel Neagu collaborates with scholars based in United Kingdom, Romania and Italy. Daniel Neagu's co-authors include Peter Cowling, Mohammad Azzeh, Paul Trundle, Felician Campean, Andréa Cullen, Vasile Palade, Mick Ridley, Giuseppina Gini, Paolo Mazzatorta and Anna Palczewska and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Daniel Neagu

90 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Neagu United Kingdom 21 378 338 199 167 122 92 1.4k
Antoni Ligęza Poland 14 716 1.9× 314 0.9× 57 0.3× 131 0.8× 110 0.9× 75 1.5k
Helge Langseth Norway 19 797 2.1× 266 0.8× 246 1.2× 53 0.3× 158 1.3× 67 1.6k
Md Zahidul Islam Australia 24 1.1k 2.9× 559 1.7× 94 0.5× 90 0.5× 133 1.1× 178 2.4k
Guido Dedene Belgium 23 1.0k 2.7× 673 2.0× 123 0.6× 315 1.9× 228 1.9× 105 2.3k
Dilip Patel India 19 449 1.2× 111 0.3× 47 0.2× 155 0.9× 210 1.7× 97 1.4k
Deepti Mehrotra India 16 311 0.8× 240 0.7× 31 0.2× 75 0.4× 92 0.8× 130 1.1k
Ping Chen China 24 841 2.2× 359 1.1× 59 0.3× 51 0.3× 75 0.6× 165 1.9k
Mohammad Reza Keyvanpour Iran 19 651 1.7× 347 1.0× 116 0.6× 137 0.8× 52 0.4× 196 1.5k
Vicente García Mexico 23 1.4k 3.8× 278 0.8× 39 0.2× 85 0.5× 179 1.5× 62 2.2k
Tim Verdonck Belgium 16 295 0.8× 219 0.6× 126 0.6× 22 0.1× 161 1.3× 80 1.3k

Countries citing papers authored by Daniel Neagu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Neagu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Neagu

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Neagu. A scholar is included among the top collaborators of Daniel Neagu 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 Daniel Neagu. Daniel Neagu 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.
2.
Parisi, Luca, Daniel Neagu, Narrendar RaviChandran, Renfei Ma, & Felician Campean. (2024). Optimal evolutionary framework-based activation function for image classification. Knowledge-Based Systems. 299. 112025–112025. 3 indexed citations
3.
Neagu, Daniel, et al.. (2023). Strategic workforce planning in health and social care – an international perspective: A scoping review. Health Policy. 132. 104827–104827. 11 indexed citations
4.
Neagu, Daniel, et al.. (2021). Deep Quantile Regression for Unsupervised Anomaly Detection in Time-Series. SN Computer Science. 2(6). 5 indexed citations
5.
Csenki, Attila, et al.. (2019). Proximity Curves for Potential-Based Clustering. Journal of Classification. 37(3). 671–695. 1 indexed citations
6.
Neagu, Daniel, et al.. (2019). Evaluation of k-nearest neighbour classifier performance for heterogeneous data sets. SN Applied Sciences. 1(12). 189 indexed citations
7.
Neagu, Daniel, et al.. (2018). Design and Development of E-Health System. 6(1). 1–16. 2 indexed citations
8.
Small, Neil, et al.. (2018). A Study Proposing a Data Model for a Dementia Care Mapping (DCM) Data Warehouse for Potential Secondary Uses of Dementia Care Data. International Journal of Healthcare Information Systems and Informatics. 14(1). 61–79. 1 indexed citations
9.
Yang, Longzhi, Daniel Neagu, M Cronin, et al.. (2013). Towards a Fuzzy Expert System on Toxicological Data Quality Assessment. Molecular Informatics. 32(1). 65–78. 21 indexed citations
10.
Fu, Xin, et al.. (2011). Data governance in predictive toxicology: A review. Journal of Cheminformatics. 3(1). 24–24. 46 indexed citations
11.
Neagu, Daniel, et al.. (2011). Fusing integrated visual vocabularies-based bag of visual words and weighted colour moments on spatial pyramid layout for natural scene image classification. Signal Image and Video Processing. 7(4). 759–775. 15 indexed citations
12.
Neagu, Daniel, et al.. (2011). Fuzzy set-theoretical approach for comparing objects with fuzzy attributes. 21. 754–759. 4 indexed citations
13.
Neagu, Daniel, et al.. (2010). Information quality framework for e-learning systems. Knowledge Management & E-Learning An International Journal. 340–362. 47 indexed citations
14.
Teodoro, Douglas, Emilie Pasche, Julien Gobeill, et al.. (2009). Integration of biomedical data using federated databases. 2 indexed citations
15.
Azzeh, Mohammad, Daniel Neagu, & Peter Cowling. (2008). Improving analogy software effort estimation using fuzzy feature subset selection algorithm. 71–78. 43 indexed citations
16.
Neagu, Daniel, et al.. (2007). Electronic Healthcare Record and clinical research in cardiovascular radiology. HL7 CDA and CDISC ODM interoperability.. PubMed. 216–20. 20 indexed citations
17.
Vračko, Marjan, Vinko Bandelj, Pierluigi Barbieri, et al.. (2006). Validation of counter propagation neural network models for predictive toxicology according to the OECD principles: a case study. SAR and QSAR in environmental research. 17(3). 265–284. 37 indexed citations
18.
19.
Neagu, Daniel & Vasile Palade. (2003). A neuro-fuzzy approach for functional genomics data interpretation and analysis. Neural Computing and Applications. 12(3-4). 153–159. 9 indexed citations
20.
Neagu, Daniel & Vasile Palade. (2002). Modular Neuro-Fuzzy Networks Used in Explicit and Implicit Knowledge Integration. Oxford University Research Archive (ORA) (University of Oxford). 277–281. 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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