Miloš Savić

806 citations
55 papers · 427 indexed · h-index 12
Topics
Complex Network Analysis Techniques (13 papers)Software Engineering Research (11 papers)Seismic Imaging and Inversion Techniques (8 papers)
Partner nations
SerbiaNetherlandsGreece

In The Last Decade

Miloš Savić

53 papers receiving 400 citations

Peers

Miloš Savić
Comparison fields: 5 of 86
  • Artificial Intelligence 125
  • Information Systems 108
  • Mechanical Engineering 80
  • Computer Networks and Communications 76
  • Ocean Engineering 74
Replace Sang‐Woon Kim with:
Sang‐Woon Kim South Korea
Mathias Bauer Germany
G. Grau Spain
Xiaofei Liu China
Yadong Zhou China
Randy Smith United States
Kendra Cooper United States
Cherri M. Pancake United States
Andreas M. Hein France
Paul Hyden United States
Miloš Savić relative to Sang‐Woon Kim South Korea Sang‐Woon Kim's profile →
Citations per field
00.5×5.7×
Sang‐Woon Kim · 1×
Citations per year

Countries citing papers authored by Miloš Savić

Since Specialization
Citations

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

Fields of papers citing papers by Miloš Savić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miloš Savić

This figure shows the co-authorship network connecting the top 25 collaborators of Miloš Savić. A scholar is included among the top collaborators of Miloš Savić 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 Miloš Savić. Miloš Savić 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 3
3 47
4 6
5 18
6 7
7 5
8 4
9
Towards the Formalization of Software Measurement by Involving Network Theory.
1
10 23
11
Two-dimensional Extensibility of SSQSA Framework.
1
12 5
13 5
14
Connectivity properties of the Apache Ant class collaboration network
2
15 7
16 2
17 10
18 3
19 10
20 3

About Miloš Savić

Miloš Savić is a scholar working on Computer Science Applications, Statistical and Nonlinear Physics and Software, having authored 55 papers that have together received 427 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Software Engineering Research (11 papers) and Seismic Imaging and Inversion Techniques (8 papers). The work is most often cited by research in Software (39 citations), Computer Science Applications (32 citations) and Geophysics (65 citations). Miloš Savić has collaborated with scholars based in Serbia, Netherlands and Greece. Frequent co-authors include Mirjana Ivanović, Zoran Budimac, Miloš Radovanović, Dušan Jakovetić, P. J. van den Hoek, Anton Ziolkowski, C. J. de Pater, Klaus-Hendrik Wolf, Leen Weijers and Lakhmi C. Jain. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Computers & Education.

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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