Goran Sladić

522 citations
44 papers · 290 · h-index 9

Impact in

  • Software top 10%
    • Software Reliability and Analysis Research
    • Software Engineering Research
    • Blockchain Technology Applications and Security
    • Service-Oriented Architecture and Web Services

Papers in

Goran Sladić

40 papers receiving 275 citations

Peers

Goran Sladić
Comparison fields: 5 of 49
  • Software 44
  • Information Systems 193
  • Management Information Systems 58
  • Signal Processing 33
  • Artificial Intelligence 83
Replace Mattia Salnitri with:
Mattia Salnitri Italy
Damiano Torre Canada
Rafa E. Al-Qutaish Canada
Sanjay Podder Switzerland
Twittie Senivongse Thailand
Yudistira Asnar Indonesia
Kevlin Henney Germany
Massila Kamalrudin Malaysia
Sallam Abualhaija Luxembourg
Carla Silva Brazil
Goran Sladić relative to Mattia Salnitri Italy Mattia Salnitri's profile →
Citations per field
00.5×3.3×
Mattia Salnitri · 1×
Citations per year

Countries citing papers authored by Goran Sladić

Since Specialization
Citations

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

Fields of papers citing papers by Goran Sladić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Goran Sladić, 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 Goran Sladić Line = papers co-authored together Goran Sladić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202146
2 202244
3 202123
4 200913
5 202113
6 201212
7 201912
8 20129
9 20179
10 20138
11 20118
12 20177
13 20227
14 20217
15 20166
16 20126
17 20135
18
Metadata harvesting using agent technology.
20044
19 20224
20 20114

About Goran Sladić

Goran Sladić is a scholar working on Information Systems, Artificial Intelligence, Sociology and Political Science, Computer Networks and Communications and Management Information Systems, having authored 44 papers that have together received 290 indexed citations. Recurring topics across this work include Access Control and Trust (9 papers), Information and Cyber Security (7 papers), Service-Oriented Architecture and Web Services (6 papers), Software Reliability and Analysis Research (5 papers), Software Engineering Research (5 papers), IoT and Edge/Fog Computing (5 papers), Semantic Web and Ontologies (5 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Software (44 citations), Information Systems (193 citations), Management Information Systems (58 citations), Signal Processing (33 citations) and Artificial Intelligence (83 citations). Goran Sladić has collaborated with scholars based in Serbia. Frequent co-authors include Branko Milosavljević, Zora Konjović, Aleksandar Kovačević, Aleksandra Radulović, Siniša Nikolić, Milan Vidaković, Dušan Surla, Branko Markoski and Jelena Tomić. Their work appears in journals such as Computer Applications in Engineering Education, Energies, Science of Computer Programming, Knowledge-Based Systems and IEEE Access.

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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