Darko Anicic

1.8k citations
30 papers · 829 · h-index 13

Impact in

Papers in

Darko Anicic

30 papers receiving 769 citations

Peers

Darko Anicic
Comparison fields: 5 of 59
  • Computer Networks and Communications 503
  • Signal Processing 169
  • Artificial Intelligence 391
  • Information Systems 256
  • Management Information Systems 88
Replace Danh Le-Phuoc with:
Danh Le-Phuoc Germany
Ernest Teniente Spain
Josiane Xavier Parreira Germany
Ladjel Bellatreche France
Hanêne Ben‐Abdallah Tunisia
Mahmoud Barhamgi France
Dominik Engel Austria
Inmaculada Medina‐Bulo Spain
Michael Compton Australia
Vincenzo Gulisano Sweden
Darko Anicic relative to Danh Le-Phuoc Germany Danh Le-Phuoc's profile →
Citations per field
00.5×1.5×2.0×
Danh Le-Phuoc · 1×
Citations per year

Countries citing papers authored by Darko Anicic

Since Specialization
Citations

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

Fields of papers citing papers by Darko Anicic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Darko Anicic, 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 Darko Anicic Line = papers co-authored together Darko Anicic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017191
2 2011179
3 2021111
4 201272
5 201532
6
Semantic Business Process Repository
200726
7 201822
8 202320
9
Event-driven Reactivity: A Survey and Requirements Analysis
200817
10 201717
11 201215
12 201815
13 202012
14
Linked Data and Complex Event Processing for the Smart Energy Grid
201012
15 202211
16 200911
17 201110
18 201910
19 20098
20 20128

About Darko Anicic

Darko Anicic is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 30 papers that have together received 829 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Advanced Database Systems and Queries (12 papers), Service-Oriented Architecture and Web Services (8 papers), IoT and Edge/Fog Computing (8 papers), Context-Aware Activity Recognition Systems (6 papers), Data Management and Algorithms (6 papers), Business Process Modeling and Analysis (4 papers) and Digital Transformation in Industry (3 papers). The work is most often cited by research in Computer Networks and Communications (503 citations), Signal Processing (169 citations), Artificial Intelligence (391 citations), Information Systems (256 citations) and Management Information Systems (88 citations). Darko Anicic has collaborated with scholars based in Germany, United States and Greece. Frequent co-authors include Nenad Stojanović, Paul Fodor, Sebastian Rudolph, Thomas A. Runkler, Arne Bröring, Sebastian Käbisch, Stefan Schmid, Abdelmajid Khelil, Jelena Mitic and Ernest Teniente. Their work appears in journals such as Semantic Web, IEEE Software, IEEE Pervasive Computing, ACM Transactions on Internet Technology and IEEE Intelligent Systems.

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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