Daniel Neagu

2.5k citations
90 papers · 1.4k · h-index 20

Impact in

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

Papers in

Daniel Neagu

87 papers receiving 1.3k citations

Peers

Daniel Neagu
Comparison fields: 5 of 166
  • Software 200
  • Information Systems 334
  • Artificial Intelligence 372
  • Computational Theory and Mathematics 165
  • Health Information Management 41
Replace Salvatore Distefano with:
Salvatore Distefano Italy
Mark Last Israel
Md Zahidul Islam Australia
Antoni Ligęza Poland
O. P. Vyas India
Manish Gupta India
Ajay Rana India
Arun Sharma India
Manuel Mazzara Russia
Dimitris Kanellopoulos Greece
Daniel Neagu relative to Salvatore Distefano Italy Salvatore Distefano's profile →
Citations per field
00.5×1.5×1.9×
Salvatore Distefano · 1×
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 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019192
2 2009113
3 201069
4 201059
5 202148
6 201146
7 201046
8 201346
9 202146
10 200843
11 202142
12 200238
13 200637
14 201534
15 202023
16 200923
17 201321
18 200521
19 200320
20 200220

About Daniel Neagu

Daniel Neagu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Control and Systems Engineering and Management Science and Operations Research, having authored 90 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), Fuzzy Logic and Control Systems (9 papers), Statistical and Computational Modeling (9 papers), Fault Detection and Control Systems (8 papers), Spam and Phishing Detection (7 papers), Network Security and Intrusion Detection (7 papers) and Multi-Criteria Decision Making (6 papers). The work is most often cited by research in Software (200 citations), Information Systems (334 citations), Artificial Intelligence (372 citations), Computational Theory and Mathematics (165 citations) and Health Information Management (41 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 Paolo Mazzatorta. Their work appears in journals such as Journal of Cheminformatics, International Journal of Information Management, Soft Computing, Applied Intelligence and Journal of Building Engineering.

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.

Explore authors with similar magnitude of impact