Milan Petrović

893 total citations
10 papers, 42 citations indexed

About

Milan Petrović is a scholar working on Sociology and Political Science, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Milan Petrović has authored 10 papers receiving a total of 42 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 4 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Milan Petrović's work include Misinformation and Its Impacts (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Complex Network Analysis Techniques (3 papers). Milan Petrović is often cited by papers focused on Misinformation and Its Impacts (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Complex Network Analysis Techniques (3 papers). Milan Petrović collaborates with scholars based in Croatia, Slovenia and Serbia. Milan Petrović's co-authors include Ana Meštrović, Sanda Martinčić-Ipšić, Rozi Andretić Waldowski, Zoran Levnajić, Marko Kadija, Shuhan He, Ivan Micić, Dejan B. Budimirovic, Dragana Protić and Maria Capovilla and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied Sciences.

In The Last Decade

Milan Petrović

9 papers receiving 40 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Milan Petrović Croatia	4	20	16	8	7	5	10	42
Pablo León-Villagrá United Kingdom	4	7 0.3×	7 0.4×		8 1.1×		10	48
C. Bohm United States	4	9 0.5×	12 0.8×		1 0.1×		13	30
N. Takanashi Japan	5	14 0.7×	19 1.2×				7	74
Steven A. Lehr United States	3	15 0.8×	9 0.6×				3	44
Iskra Herak Belgium	2	14 0.7×	10 0.6×				3	28
Andrea Sudbury United Kingdom	5	6 0.3×	13 0.8×		4 0.6×		7	200
Margreet Dorleijn Netherlands	4	8 0.4×	9 0.6×				13	88
Amanda Askell Netherlands	2	8 0.4×	11 0.7×				3	38
Giorgio Mariani Italy	4	10 0.5×	8 0.5×				19	44
Axel Fleisch South Africa	5	10 0.5×	27 1.7×				16	67

Countries citing papers authored by Milan Petrović

Since Specialization

Citations

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

Fields of papers citing papers by Milan Petrović

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Petrović

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

All Works

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10 of 10 papers shown

Stojković, Maja, Milan Petrović, Maria Capovilla, et al.. (2024). Using a Combination of Novel Research Tools to Understand Social Interaction in the Drosophila melanogaster Model for Fragile X Syndrome. Biology. 13(6). 432–432.

Petrović, Milan, et al.. (2023). A network-based analysis detects cocaine-induced changes in social interactions in Drosophila melanogaster. PLoS ONE. 18(3). e0275795–e0275795. 1 indexed citations

Petrović, Milan, et al.. (2022). Prediction of COVID-19 tweeting: classification based on graph neural networks. 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO). 307–311. 1 indexed citations

Petrović, Milan, et al.. (2022). Towards General-Purpose Long-Timescale Molecular Dynamics Simulation on Exascale Supercomputers with Data Processing Units. 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO). 300–306. 1 indexed citations

Meštrović, Ana, et al.. (2022). Retweet Prediction Based on Heterogeneous Data Sources: The Combination of Text and Multilayer Network Features. Applied Sciences. 12(21). 11216–11216. 3 indexed citations

Petrović, Milan, Zoran Levnajić, & Ana Meštrović. (2022). Analysis of the COVID-19 Communication on Twitter via Multilayer Network. 377–384. 2 indexed citations

Petrović, Milan, et al.. (2021). Characterisation of COVID-19-Related Tweets in the Croatian Language: Framework Based on the Cro-CoV-cseBERT Model. Applied Sciences. 11(21). 10442–10442. 13 indexed citations

Petrović, Milan, et al.. (2021). Prediction of COVID-19 Related Information Spreading on Twitter. 395–399. 8 indexed citations

Petrović, Milan, et al.. (2020). Locomotor sensitization modulates voluntary self‐administration of methamphetamine in Drosophila melanogaster . Addiction Biology. 26(3). e12963–e12963. 11 indexed citations

10.

Petrović, Milan, et al.. (2020). Application of two types of suspensory fixation in reconstruction of anterior cruciate ligament with a semitendinosus-gracilis graft: A randomized prospective study. SHILAP Revista de lepidopterología. 78(10). 1053–1059. 2 indexed citations

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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