S. Danicic

442 citations
18 papers · 326 · h-index 11

Impact in

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

Papers in

    • Software Testing and Debugging Techniques 15
    • Software Reliability and Analysis Research 14
    • Software Engineering Research 15
    • Software Engineering Techniques and Practices 1

S. Danicic

18 papers receiving 305 citations

Peers

S. Danicic
Comparison fields: 5 of 22
  • Software 298
  • Information Systems 253
  • Signal Processing 88
  • Hardware and Architecture 11
  • Computer Science Applications 6
Replace Ziying Dai with:
Ziying Dai China
Thierry Titcheu Chekam Luxembourg
E.W. Krauser United States
Zebao Gao United States
Vijayaraghavan Murali United States
Marina Polishchuk United States
Alexandru Marginean United Kingdom
Steve Kommrusch United States
Paul Dan Marinescu Switzerland
Raghavan Komondoor India
S. Danicic relative to Ziying Dai China Ziying Dai's profile →
Citations per field
00.5×1.5×2.0×
Ziying Dai · 1×
Citations per year

Countries citing papers authored by S. Danicic

Since Specialization
Citations

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

Fields of papers citing papers by S. Danicic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside S. Danicic, 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 S. Danicic Line = papers co-authored together S. Danicic links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200298
2 200260
3 200225
4 200519
5 200318
6 200314
7 200413
8 200212
9 200312
10 200211
11 200310
12 20059
13 20037
14 20067
15 20064
16 20033
17 19932
18 19872

About S. Danicic

S. Danicic is a scholar working on Software, Information Systems, Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 18 papers that have together received 326 indexed citations. Recurring topics across this work include Software Engineering Research (15 papers), Software Testing and Debugging Techniques (15 papers), Software Reliability and Analysis Research (14 papers), Software System Performance and Reliability (3 papers), Advanced Malware Detection Techniques (2 papers), Software Engineering Techniques and Practices (1 paper), Logic, programming, and type systems (1 paper) and Formal Methods in Verification (1 paper). The work is most often cited by research in Software (298 citations), Information Systems (253 citations), Signal Processing (88 citations), Hardware and Architecture (11 citations) and Computer Science Applications (6 citations). S. Danicic has collaborated with scholars based in United Kingdom, Brunei and United States. Frequent co-authors include Mark Harman, Robert M. Hierons, Chris Fox, Chris Fox, Andrea De Lucia, David Binkley, Lin Hu, Joachim Wegener, Ákos Kiss and Tibor Gyimóthy. Their work appears in journals such as ACM SIGPLAN Notices, Research Portal (King's College London) and Brunel University Research Archive (BURA) (Brunel University London).

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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