Marko Topalovic

1.1k total citations
28 papers, 584 citations indexed

About

Marko Topalovic is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Sociology and Political Science. According to data from OpenAlex, Marko Topalovic has authored 28 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 9 papers in Physiology and 6 papers in Sociology and Political Science. Recurrent topics in Marko Topalovic's work include Chronic Obstructive Pulmonary Disease (COPD) Research (25 papers), Asthma and respiratory diseases (9 papers) and Respiratory Support and Mechanisms (8 papers). Marko Topalovic is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (25 papers), Asthma and respiratory diseases (9 papers) and Respiratory Support and Mechanisms (8 papers). Marko Topalovic collaborates with scholars based in Belgium, Canada and Italy. Marko Topalovic's co-authors include Wim Janssens, Nilakash Das, Thierry Troosters, Marc Decramer, Jean‐Marie Aerts, J. Alberto Neder, Denis E. O’Donnell, Sherif Gonem, Daniël Langer and Anna Ivanova and has published in prestigious journals such as Journal of Applied Physiology, European Respiratory Journal and Thorax.

In The Last Decade

Marko Topalovic

24 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marko Topalovic Belgium 12 450 154 111 66 47 28 584
Adrian Goudie Australia 14 70 0.2× 42 0.3× 177 1.6× 79 1.2× 31 0.7× 27 575
Miguel Ángel Fernández Granero Spain 9 227 0.5× 58 0.4× 81 0.7× 19 0.3× 76 1.6× 11 370
Ross D. Williams Netherlands 10 147 0.3× 160 1.0× 18 0.2× 29 0.4× 78 1.7× 24 395
Brooks Kuhn United States 10 159 0.4× 70 0.5× 37 0.3× 15 0.2× 27 0.6× 38 350
Miguel Burch United States 14 118 0.3× 131 0.9× 59 0.5× 133 2.0× 47 1.0× 51 885
JoonNyung Heo South Korea 10 147 0.3× 33 0.2× 120 1.1× 50 0.8× 89 1.9× 31 667
Huiqing Ge China 14 415 0.9× 60 0.4× 26 0.2× 8 0.1× 31 0.7× 62 675
Tudor Toma United Kingdom 12 661 1.5× 141 0.9× 41 0.4× 4 0.1× 40 0.9× 35 889
Nilakash Das Belgium 9 257 0.6× 87 0.6× 98 0.9× 58 0.9× 45 1.0× 22 394
Kamran Samakar United States 14 101 0.2× 36 0.2× 56 0.5× 150 2.3× 56 1.2× 49 709

Countries citing papers authored by Marko Topalovic

Since Specialization
Citations

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

Fields of papers citing papers by Marko Topalovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marko Topalovic

This figure shows the co-authorship network connecting the top 25 collaborators of Marko Topalovic. A scholar is included among the top collaborators of Marko Topalovic 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 Marko Topalovic. Marko Topalovic 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
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Taylor, Stephanie, Marko Topalovic, Richard Russell, et al.. (2023). Spirometry services in England post-pandemic and the potential role of AI support software: a qualitative study of challenges and opportunities. British Journal of General Practice. 73(737). e915–e923. 12 indexed citations
4.
Topalovic, Marko, et al.. (2023). Predicting total lung capacity from spirometry: a machine learning approach. Frontiers in Medicine. 10. 1174631–1174631. 5 indexed citations
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Montagna, Isabella, Massimo Corradi, Sanja Stanojevic, et al.. (2022). Artificial intelligence based software facilitates spirometry quality control in asthma and COPD clinical trials. ERJ Open Research. 9(1). 292–2022. 13 indexed citations
8.
Das, Nilakash, et al.. (2020). Deep-learning algorithm helps to standardise ATS/ERS spirometric acceptability and usability criteria. European Respiratory Journal. 56(6). 2000603–2000603. 23 indexed citations
9.
Gonem, Sherif, Wim Janssens, Nilakash Das, & Marko Topalovic. (2020). Applications of artificial intelligence and machine learning in respiratory medicine. Thorax. 75(8). 695–701. 51 indexed citations
10.
Topalovic, Marko, Nilakash Das, Pierre‐Régis Burgel, et al.. (2019). Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests. European Respiratory Journal. 53(4). 1801660–1801660. 128 indexed citations
11.
Das, Nilakash, Marko Topalovic, Jean‐Marie Aerts, & Wim Janssens. (2019). <p>Area under the forced expiratory flow-volume loop in spirometry indicates severe hyperinflation in COPD patients</p>. International Journal of COPD. Volume 14. 409–418. 18 indexed citations
12.
Lima, Fabiano Francisco de, Carlos Augusto Camillo, Aldo Eloízo Job, et al.. (2018). Mechanical properties, safety and resistance values of Lemgruber® elastic tubing. Brazilian Journal of Physical Therapy. 23(1). 41–47. 5 indexed citations
13.
Das, Nilakash, Marko Topalovic, & Wim Janssens. (2017). Artificial intelligence in diagnosis of obstructive lung disease. Current Opinion in Pulmonary Medicine. 24(2). 117–123. 77 indexed citations
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Topalovic, Marko, et al.. (2017). Automated Interpretation of Pulmonary Function Tests in Adults with Respiratory Complaints. Respiration. 93(3). 170–178. 38 indexed citations
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Topalovic, Marko, et al.. (2017). Non-linear parameters of specific resistance loops to characterise obstructive airways diseases. Respiratory Research. 18(1). 9–9. 11 indexed citations
16.
Topalovic, Marko, et al.. (2016). Unexpected improvements of lung function in chronic obstructive pulmonary disease. Respiratory Medicine Case Reports. 18. 81–84. 6 indexed citations
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Topalovic, Marko, Eric Derom, Christian Osadnik, et al.. (2015). Airways resistance and specific conductance for the diagnosis of obstructive airways diseases. Respiratory Research. 16(1). 88–88. 25 indexed citations
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Topalovic, Marko, Vasileios Exadaktylos, Marc Decramer, et al.. (2015). Using dynamics of forced expiration to identifyCOPDwhere conventional criteria for theFEV1/FVCratio do not match. Respirology. 20(6). 925–931. 9 indexed citations
19.
Topalovic, Marko, Vasileios Exadaktylos, Marc Decramer, et al.. (2014). Modelling the dynamics of expiratory airflow to describe chronic obstructive pulmonary disease. Medical & Biological Engineering & Computing. 52(12). 997–1006. 9 indexed citations
20.
Topalovic, Marko, Vasileios Exadaktylos, Johan Coolen, et al.. (2013). Computer quantification of airway collapse on forced expiration to predict the presence of emphysema. Respiratory Research. 14(1). 131–131. 20 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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