Milenko Petrovic

610 citations
25 papers · 295 indexed · h-index 10
Topics
Peer-to-Peer Network Technologies (9 papers)Caching and Content Delivery (7 papers)European Politics and Security (7 papers)
Journals
SHILAP Revista de lepidopterologíaInformation SciencesJournal of Web Semantics

In The Last Decade

Milenko Petrovic

22 papers receiving 255 citations

Peers

Milenko Petrovic
Comparison fields: 5 of 53
  • Computer Networks and Communications 199
  • Political Science and International Relations 49
  • Information Systems 42
  • Artificial Intelligence 26
  • Sociology and Political Science 25
Replace Andreas Emil Feldmann with:
Andreas Emil Feldmann Czechia
Harry R. Rudin United States
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David E. Sanger
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Milenko Petrovic relative to Andreas Emil Feldmann Czechia Andreas Emil Feldmann's profile →
Citations per field
00.5×10.5×
Andreas Emil Feldmann · 1×
Citations per year

Countries citing papers authored by Milenko Petrovic

Since Specialization
Citations

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

Fields of papers citing papers by Milenko Petrovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milenko Petrovic

This figure shows the co-authorship network connecting the top 25 collaborators of Milenko Petrovic. A scholar is included among the top collaborators of Milenko Petrovic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Milenko Petrovic. Milenko Petrovic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3 24
4 0
5 0
6 5
7 10
8
Discovering and Characterizing Emerging Events in Big Data.
1
9
SemMemDB: In-database knowledge activation
4
10 11
11 4
12
Efficient Filtering of RSS Documents on Computer Cluster
2
13 16
14
CMS-ToPSS: efficient dissemination of RSS documents
12
15 27
16 24
17 54
18 20
19 5
20
[Settlements of East Balkan type as asthmogenic factor].
1

About Milenko Petrovic

Milenko Petrovic is a scholar working on Cultural Studies, Computer Networks and Communications and Political Science and International Relations, having authored 25 papers that have together received 295 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (9 papers), Caching and Content Delivery (7 papers) and European Politics and Security (7 papers). The work is most often cited by research in Computer Networks and Communications (199 citations), Political Science and International Relations (49 citations) and Development (7 citations). Milenko Petrovic has collaborated with scholars based in Canada, New Zealand and United States. Frequent co-authors include Hans‐Arno Jacobsen, Vinod Muthusamy, Ioana Burcea, Eyal de Lara, Dapeng Gao, Haifeng Liu, Sarah Graves, Graeme Gill, M. Steven Fish and Daisy Zhe Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and Journal of Web Semantics.

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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