Daniel Neagu

2.5k citations
92 papers · 1.4k · h-index 21

Impact in

  • Software top 2%
    • Software Reliability and Analysis Research
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

Daniel Neagu

90 papers receiving 1.3k citations

Peers

Daniel Neagu
Comparison fields: 5 of 169
  • Software 199
  • Information Systems 338
  • Health Information Management 55
  • Artificial Intelligence 378
  • Computational Theory and Mathematics 167
Replace Salvatore Distefano with:
Salvatore Distefano Italy
Md Zahidul Islam Australia
Sajid Anwar Pakistan
Antoni Ligęza Poland
Guido Dedene Belgium
Ajay Rana India
Arun Sharma India
Dimitris Kanellopoulos Greece
Manuel Mazzara Russia
Manish Gupta India
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Daniel Neagu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Neagu Line = papers co-authored together Daniel Neagu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019189
2 2009111
3 201069
4 201059
5 201047
6 201146
7 201346
8 202144
9 200843
10 202143
11 202139
12 200238
13 200637
14 201532
15 202023
16 200923
17 201321
18 200521
19
Electronic Healthcare Record and clinical research in cardiovascular radiology. HL7 CDA and CDISC ODM interoperability.
200720
20 200320

About Daniel Neagu

Daniel Neagu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Control and Systems Engineering and Computer Networks and Communications, having authored 92 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Neural Networks and Applications (12 papers), Statistical and Computational Modeling (9 papers), Fuzzy Logic and Control Systems (9 papers), Fault Detection and Control Systems (8 papers), Network Security and Intrusion Detection (7 papers), Spam and Phishing Detection (7 papers) and Multi-Criteria Decision Making (6 papers). The work is most often cited by research in Software (199 citations), Information Systems (338 citations), Health Information Management (55 citations), Artificial Intelligence (378 citations) and Computational Theory and Mathematics (167 citations). Daniel Neagu has collaborated with scholars based in United Kingdom, Romania and Italy. Frequent co-authors include Peter Cowling, Mohammad Azzeh, Paul Trundle, Felician Campean, Andréa Cullen, Vasile Palade, Mick Ridley, Giuseppina Gini, Anna Palczewska and Emilio Benfenati. Their work appears in journals such as International Journal of Information Management, Soft Computing, Journal of Cheminformatics, Knowledge-Based Systems and Health Policy.

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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