Milija Suknović

411 total citations
34 papers, 259 citations indexed

About

Milija Suknović is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Milija Suknović has authored 34 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Management Science and Operations Research. Recurrent topics in Milija Suknović's work include Data Mining Algorithms and Applications (6 papers), Machine Learning and Data Classification (5 papers) and Winter Sports Injuries and Performance (5 papers). Milija Suknović is often cited by papers focused on Data Mining Algorithms and Applications (6 papers), Machine Learning and Data Classification (5 papers) and Winter Sports Injuries and Performance (5 papers). Milija Suknović collaborates with scholars based in Serbia, United States and Germany. Milija Suknović's co-authors include Boris Delibašić, Milan Vukičević, Miloš Jovanović, Sandro Radovanović, Zoran Obradović, Dragan Pamučar, Kathrin Kirchner, Vladimir Obradović, Gordana Savić and Milan Martić and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Milija Suknović

31 papers receiving 250 citations

Peers

Milija Suknović
Amal Al Ali United Arab Emirates
Silmi Fauziati Indonesia
Bayu Surarso Indonesia
Amal Al Ali United Arab Emirates
Milija Suknović
Citations per year, relative to Milija Suknović Milija Suknović (= 1×) peers Amal Al Ali

Countries citing papers authored by Milija Suknović

Since Specialization
Citations

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

Fields of papers citing papers by Milija Suknović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milija Suknović

This figure shows the co-authorship network connecting the top 25 collaborators of Milija Suknović. A scholar is included among the top collaborators of Milija Suknović 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 Milija Suknović. Milija Suknović 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
1.
Delibašić, Boris, et al.. (2022). A study on ski groups size and their relationship to the risk of injury. Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology. 238(4). 370–381. 3 indexed citations
2.
Radovanović, Sandro, Gordana Savić, Boris Delibašić, & Milija Suknović. (2021). FairDEA—Removing disparate impact from efficiency scores. European Journal of Operational Research. 301(3). 1088–1098. 7 indexed citations
3.
Radovanović, Sandro, Boris Delibašić, & Milija Suknović. (2020). Predicting dropout in online learning environments. Computer Science and Information Systems. 18(3). 957–978. 11 indexed citations
4.
Delibašić, Boris, et al.. (2020). A ski injury risk assessment model for ski resorts. Journal of Risk Research. 23(12). 1590–1602. 2 indexed citations
5.
Radovanović, Sandro, Boris Delibašić, Miloš Jovanović, Milan Vukičević, & Milija Suknović. (2019). A Framework for Integrating Domain Knowledge in Logistic Regression with Application to Hospital Readmission Prediction. International Journal of Artificial Intelligence Tools. 28(6). 1960006–1960006. 2 indexed citations
6.
Radovanović, Sandro, et al.. (2019). Where will the next ski injury occur? A system for visual and predictive analytics of ski injuries. Operational Research. 19(4). 973–992. 4 indexed citations
7.
Radovanović, Sandro, Boris Delibašić, Miloš Jovanović, Milan Vukičević, & Milija Suknović. (2018). Framework for integration of domain knowledge into logistic regression. 1–8. 6 indexed citations
8.
Obradović, Vladimir, et al.. (2018). Knowledge management in the public sector: The case of Serbian local government. Serbian Journal of Management. 13(2). 293–309. 9 indexed citations
9.
Delibašić, Boris, Sandro Radovanović, Miloš Jovanović, Marko Bohanec, & Milija Suknović. (2018). Integrating knowledge from DEX hierarchies into a logistic regression stacking model for predicting ski injuries. Journal of Decision System. 27(sup1). 201–208. 6 indexed citations
10.
Delibašić, Boris, et al.. (2015). An Integrated Fuzzy Approach to Bidder Selection in Public Procurement: Serbian Government Case Study. Acta Polytechnica Hungarica. 12(2). 3 indexed citations
11.
Jovanović, Miloš, Boris Delibašić, Milan Vukičević, Milija Suknović, & Milan Martić. (2014). Evolutionary approach for automated component-based decision tree algorithm design. Intelligent Data Analysis. 18(1). 63–77. 3 indexed citations
12.
Delibašić, Boris, Milan Vukičević, Miloš Jovanović, & Milija Suknović. (2013). White-Box or Black-Box Decision Tree Algorithms: Which to Use in Education?. IEEE Transactions on Education. 56(3). 287–291. 12 indexed citations
13.
Vukičević, Milan, Boris Delibašić, Miloš Jovanović, Milija Suknović, & Zoran Obradović. (2012). A method for design of data-tailored partitioning algorithms for optimizing the number of clusters in microarray analysis. 286. 252–259. 4 indexed citations
14.
Delibašić, Boris, et al.. (2012). A case-based reasoning model that uses preference theory functions for credit scoring. Expert Systems with Applications. 39(9). 8389–8395. 52 indexed citations
15.
Suknović, Milija, et al.. (2012). A comparison of the usability of performing ad hoc querying on dimensionally modeled data versus operationally modeled data. Decision Support Systems. 54(1). 185–197. 8 indexed citations
16.
Vukičević, Milan, et al.. (2012). Finding best algorithmic components for clustering microarray data. Knowledge and Information Systems. 35(1). 111–130. 7 indexed citations
17.
Vukičević, Milan, Boris Delibašić, Miloš Jovanović, Milija Suknović, & Zoran Obradović. (2011). Internal Evaluation Measures as Proxies for External Indices in Clustering Gene Expression Data. 7. 574–577. 7 indexed citations
18.
Delibašić, Boris, Miloš Jovanović, Milan Vukičević, Milija Suknović, & Zoran Obradović. (2011). Component-based decision trees for classification. Intelligent Data Analysis. 15(5). 671–693. 15 indexed citations
19.
Suknović, Milija, et al.. (2008). Fuzzy Sets in Financial Analysis. Journal of Decision System. 17(2). 211–223.
20.
Delibašić, Boris & Milija Suknović. (2006). Loan Granting Knowledge System. Journal of Decision System. 15(2-3). 309–329. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026