Dragan Matić

1.3k total citations
66 papers, 587 citations indexed

About

Dragan Matić is a scholar working on Cardiology and Cardiovascular Medicine, Control and Systems Engineering and Molecular Biology. According to data from OpenAlex, Dragan Matić has authored 66 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 11 papers in Control and Systems Engineering and 8 papers in Molecular Biology. Recurrent topics in Dragan Matić's work include Acute Myocardial Infarction Research (17 papers), Machine Fault Diagnosis Techniques (10 papers) and Antiplatelet Therapy and Cardiovascular Diseases (9 papers). Dragan Matić is often cited by papers focused on Acute Myocardial Infarction Research (17 papers), Machine Fault Diagnosis Techniques (10 papers) and Antiplatelet Therapy and Cardiovascular Diseases (9 papers). Dragan Matić collaborates with scholars based in Serbia, Bosnia and Herzegovina and Spain. Dragan Matić's co-authors include M. Pineda‐Sanchez, Filip Kulić, Rubén Puche‐Panadero, Ángel Sapena-Bañó, Javier Martínez‐Román, Igor Mrdović, Nebojša Antonijević, Milika Ašanin, Sanja Stanković and Vladimir Filipović and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Dragan Matić

59 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dragan Matić Serbia 12 201 183 111 55 54 66 587
Rahul K. Sevakula India 13 300 1.5× 48 0.3× 156 1.4× 47 0.9× 69 1.3× 35 675
P Zech Austria 16 73 0.4× 92 0.5× 46 0.4× 11 0.2× 5 0.1× 84 747
Shan Lu China 10 108 0.5× 43 0.2× 71 0.6× 46 0.8× 11 0.2× 59 477
Xinling Shi China 11 62 0.3× 96 0.5× 19 0.2× 27 0.5× 23 0.4× 67 490
Yiyuan Gao China 12 189 0.9× 58 0.3× 109 1.0× 12 0.2× 56 1.0× 28 423
Javier Serrano Spain 16 138 0.7× 151 0.8× 15 0.1× 57 1.0× 4 0.1× 81 986
Yuhui Zhang China 15 26 0.1× 30 0.2× 79 0.7× 52 0.9× 85 1.6× 68 723
William La Cava United States 14 95 0.5× 43 0.2× 135 1.2× 29 0.5× 53 1.0× 61 793
Sedigheh Ghofrani Iran 13 27 0.1× 677 3.7× 17 0.2× 38 0.7× 16 0.3× 53 1.4k
Yiming Wan China 16 329 1.6× 25 0.1× 93 0.8× 100 1.8× 22 0.4× 74 686

Countries citing papers authored by Dragan Matić

Since Specialization
Citations

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

Fields of papers citing papers by Dragan Matić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dragan Matić

This figure shows the co-authorship network connecting the top 25 collaborators of Dragan Matić. A scholar is included among the top collaborators of Dragan Matić 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 Dragan Matić. Dragan Matić 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.
Lasica, Ratko, Milika Ašanin, Lidija Savić, et al.. (2024). What Do We Know about Peripartum Cardiomyopathy? Yesterday, Today, Tomorrow. International Journal of Molecular Sciences. 25(19). 10559–10559.
2.
Radovanović, Nebojša, et al.. (2024). Late presentation of traumatic tricuspid valve chordal rupture and pericardial rupture with cardiac herniation: a case report. BMC Cardiovascular Disorders. 24(1). 44–44. 3 indexed citations
3.
Antonijević, Nebojša, et al.. (2024). The Influence of Hyperthyroidism on the Coagulation and on the Risk of Thrombosis. Journal of Clinical Medicine. 13(6). 1756–1756. 2 indexed citations
4.
Cartwright, Julyan H. E., Jitka Čejková, Elena Fimmel, et al.. (2024). Information, Coding, and Biological Function: The Dynamics of Life. Artificial Life. 30(1). 16–27. 4 indexed citations
5.
Savić, Lidija, Igor Mrdović, Milika Ašanin, et al.. (2024). Long-Term Prognostic Impact of Stress Hyperglycemia in Non-Diabetic Patients Treated with Successful Primary Percutaneous Coronary Intervention. Journal of Personalized Medicine. 14(6). 591–591. 1 indexed citations
6.
Antonijević, Nebojša, et al.. (2023). Successful Caesarean Section on Ticagrelor Treatment One Day after Primary Percutaneous Coronary Intervention. Journal of Personalized Medicine. 13(9). 1344–1344. 1 indexed citations
7.
Radojičić, Zoran, et al.. (2023). Morphometric and volumetric analysis of lacrimal glands in patients with thyroid eye disease. Scientific Reports. 13(1). 16345–16345. 3 indexed citations
8.
Savić, Lidija, Igor Mrdović, Milika Ašanin, et al.. (2023). Prognostic Impact of Non-Cardiac Comorbidities on Long-Term Prognosis in Patients with Reduced and Preserved Ejection Fraction following Acute Myocardial Infarction. Journal of Personalized Medicine. 13(7). 1110–1110. 1 indexed citations
9.
Tahirović, Elvis, Marija Zdravković, Svetlana Apostolović, et al.. (2023). Depression, anxiety, and quality of life as predictors of rehospitalization in patients with chronic heart failure. BMC Cardiovascular Disorders. 23(1). 525–525. 12 indexed citations
10.
Matić, Dragan, et al.. (2022). Graph search and variable neighborhood search for finding constrained longest common subsequences in artificial and real gene sequences. Applied Soft Computing. 122. 108844–108844. 2 indexed citations
11.
Lasica, Ratko, Dejana Popović, Lidija Savić, et al.. (2022). Use of Anticoagulant Therapy in Patients with Acute Myocardial Infarction and Atrial Fibrillation. Medicina. 58(3). 338–338. 4 indexed citations
12.
Matić, Dragan, et al.. (2022). An Integrated Intelligent CAD/CAPP Platform: Part II - Operation Sequencing Based on Genetic Algorithm. Tehnicki vjesnik - Technical Gazette. 29(5). 3 indexed citations
13.
Matić, Dragan, et al.. (2020). A three-phase method for identifying functionally related protein groups in weighted PPI networks. Computational Biology and Chemistry. 86. 107246–107246. 3 indexed citations
14.
Savić, Lidija, et al.. (2018). Predictive value of metabolic syndrome definitions in patients with myocardial infarction with ST segment elevation – are they all the same?. Acta cardiologica. Supplementum. 73(6). 574–582. 7 indexed citations
15.
Jeremić, Ivica, Sanja Stanković, Olivera Djurić, et al.. (2018). Oxidative stress markers predict early left ventricular systolic dysfunction after acute myocardial infarction treated with primary percutaneous coronary intervention. Advances in Clinical and Experimental Medicine. 27(2). 185–191. 9 indexed citations
16.
Kanović, Željko, et al.. (2014). Optimization of ship lock control system using swarm-based techniques. SCIndeks. 18(1). 30–35. 1 indexed citations
17.
Matić, Bojan, et al.. (2012). Development and evaluation of the model for the surface pavement temperature prediction. SHILAP Revista de lepidopterología. 9 indexed citations
18.
19.
Matić, Dragan, et al.. (2011). A genetic algorithm for solving multiple warehouse layout problem. Kragujevac Journal of Mathematics. 35(35). 119–138. 8 indexed citations
20.
Kanović, Željko, et al.. (2010). Expert system for induction motor fault detection. Journal on Processing and Energy in Agriculture. 14(4). 173–177.

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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