Miodrag Lovrić

525 citations
7 papers · 56 indexed · h-index 4
Topics
Statistical Methods and Inference (2 papers)Advanced Statistical Methods and Models (2 papers)Statistical Methods and Bayesian Inference (1 paper)
Journals
Human BiologyJournal of Modern Applied Statistical MethodsInfoscience (Ecole Polytechnique Fédérale de Lausanne)

In The Last Decade

Miodrag Lovrić

7 papers receiving 53 citations

Peers

Miodrag Lovrić
Comparison fields: 5 of 42
  • Signal Processing 16
  • Artificial Intelligence 15
  • Statistics and Probability 11
  • Economics and Econometrics 8
  • Management Science and Operations Research 7
Replace Ujjwal Das with:
Ujjwal Das India
Patricia Gutierrez Spain
Khashayar Khosravi United States
Pierre Fernandez France
Darius Afchar Austria
Maciej Kula United States
Olivier Sprangers Netherlands
Santosh Reddy Addula United States
Junzhe Wang China
Xiaoyu Kou China
Miodrag Lovrić relative to Ujjwal Das India Ujjwal Das's profile →
Citations per field
00.5×
Ujjwal Das · 1×
Citations per year

Countries citing papers authored by Miodrag Lovrić

Since Specialization
Citations

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

Fields of papers citing papers by Miodrag Lovrić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miodrag Lovrić

This figure shows the co-authorship network connecting the top 25 collaborators of Miodrag Lovrić. A scholar is included among the top collaborators of Miodrag Lovrić 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 Miodrag Lovrić. Miodrag Lovrić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 5
2 3
3 1
4 19
5
ALGORITHMIC METHODS FOR SEGMENTATION OF TIME SERIES: AN OVERVIEW
26
6
Statistics of extremes
1
7 1

About Miodrag Lovrić

Miodrag Lovrić is a scholar working on Statistics and Probability, Signal Processing and Economics and Econometrics, having authored 7 papers that have together received 56 indexed citations. Recurring topics across this work include Statistical Methods and Inference (2 papers), Advanced Statistical Methods and Models (2 papers) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Signal Processing (16 citations), Statistics and Probability (11 citations) and Management Science and Operations Research (7 citations). Miodrag Lovrić has collaborated with scholars based in Serbia, United States and Brazil. Frequent co-authors include Calyampudi Radhakrishna Rao, Oscar Sheynin and A. C. Davison. Their work appears in journals such as Human Biology, Journal of Modern Applied Statistical Methods and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026