Amar Aganović

765 total citations
26 papers, 499 citations indexed

About

Amar Aganović is a scholar working on Pulmonary and Respiratory Medicine, Building and Construction and Modeling and Simulation. According to data from OpenAlex, Amar Aganović has authored 26 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 12 papers in Building and Construction and 5 papers in Modeling and Simulation. Recurrent topics in Amar Aganović's work include Infection Control and Ventilation (18 papers), Building Energy and Comfort Optimization (11 papers) and COVID-19 epidemiological studies (5 papers). Amar Aganović is often cited by papers focused on Infection Control and Ventilation (18 papers), Building Energy and Comfort Optimization (11 papers) and COVID-19 epidemiological studies (5 papers). Amar Aganović collaborates with scholars based in Norway, Denmark and Estonia. Amar Aganović's co-authors include Guangyu Cao, Jarek Kurnitski, Pawel Wargocki, Cheng Zhu, Baizhan Li, Arsen Krikor Melikov, Hans Martin Mathisen, Omid Abouali, Zhongming Bu and Alireza Afshari and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Amar Aganović

25 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amar Aganović Norway 14 334 173 101 86 70 26 499
Martin Kriegel Germany 14 248 0.7× 163 0.9× 90 0.9× 93 1.1× 27 0.4× 81 625
Jeong-Hoon Yang South Korea 10 420 1.3× 102 0.6× 97 1.0× 168 2.0× 26 0.4× 29 588
Ehsan Mousavi United States 12 357 1.1× 119 0.7× 124 1.2× 95 1.1× 17 0.2× 41 551
Peter V. Nielsen Denmark 14 531 1.6× 229 1.3× 129 1.3× 210 2.4× 24 0.3× 26 625
Farhad Memarzadeh United States 12 368 1.1× 91 0.5× 143 1.4× 102 1.2× 51 0.7× 27 555
J.M. Villafruela Spain 13 448 1.3× 255 1.5× 96 1.0× 233 2.7× 13 0.2× 16 745
Rui Rong China 14 292 0.9× 50 0.3× 126 1.2× 80 0.9× 19 0.3× 54 573
C. A. Klettner United Kingdom 9 345 1.0× 41 0.2× 69 0.7× 73 0.8× 15 0.2× 22 556
Malin Alsved Sweden 11 330 1.0× 28 0.2× 119 1.2× 37 0.4× 28 0.4× 17 509
Xiaojian Xie China 7 489 1.5× 35 0.2× 90 0.9× 90 1.0× 9 0.1× 12 605

Countries citing papers authored by Amar Aganović

Since Specialization
Citations

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

Fields of papers citing papers by Amar Aganović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amar Aganović

This figure shows the co-authorship network connecting the top 25 collaborators of Amar Aganović. A scholar is included among the top collaborators of Amar Aganović 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 Amar Aganović. Amar Aganović 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.
Aganović, Amar, et al.. (2025). Optimizing investment-efficient renovation strategy for sustainable building stock: A case study of Bosnia and Herzegovina. Sustainable Cities and Society. 130. 106538–106538.
2.
Aganović, Amar, Giorgio Buonanno, Guangyu Cao, et al.. (2024). Comparative assessment of airborne infection risk tools in enclosed spaces: Implications for disease control. Infectious Disease Modelling. 10(1). 338–352. 3 indexed citations
3.
Aganović, Amar, Jarek Kurnitski, & Pawel Wargocki. (2024). A quanta-independent approach for the assessment of strategies to reduce the risk of airborne infection. The Science of The Total Environment. 927. 172278–172278. 4 indexed citations
4.
5.
Kurnitski, Jarek, et al.. (2023). Post-COVID ventilation design: Infection risk-based target ventilation rates and point source ventilation effectiveness. Energy and Buildings. 296. 113386–113386. 20 indexed citations
6.
Aganović, Amar, et al.. (2023). Analysis of parameters influencing pathogen concentration in a room with displacement ventilation using computational fluid dynamics and Taguchi methods. Journal of Building Engineering. 80. 108002–108002. 10 indexed citations
7.
Aganović, Amar. (2023). pH-dependent endocytosis mechanisms for influenza A and SARS-coronavirus. Frontiers in Microbiology. 14. 1190463–1190463. 9 indexed citations
8.
Khawaja, Hassan Abbas, et al.. (2023). Comparative Evaluation of Four RANS Turbulence Models for Aerosol Dispersion from a Cough. SHILAP Revista de lepidopterología. 396. 1072–1072. 1 indexed citations
9.
10.
Aganović, Amar, Guangyu Cao, Jarek Kurnitski, & Pawel Wargocki. (2022). New dose-response model and SARS-CoV-2 quanta emission rates for calculating the long-range airborne infection risk. Building and Environment. 228. 109924–109924. 24 indexed citations
11.
Aganović, Amar, Guangyu Cao, Jarek Kurnitski, Arsen Krikor Melikov, & Pawel Wargocki. (2022). Zonal modeling of air distribution impact on the long-range airborne transmission risk of SARS-CoV-2. Applied Mathematical Modelling. 112. 800–821. 11 indexed citations
12.
Aganović, Amar, et al.. (2022). Modeling the impact of indoor relative humidity on the infection risk of five respiratory airborne viruses. Scientific Reports. 12(1). 11481–11481. 25 indexed citations
13.
Aganović, Amar, et al.. (2022). Experimental study on the exposure level of surgical staff to SARS-CoV-2 in operating rooms with mixing ventilation under negative pressure. Building and Environment. 217. 109091–109091. 14 indexed citations
14.
Aganović, Amar, et al.. (2021). Estimating the impact of indoor relative humidity on SARS-CoV-2 airborne transmission risk using a new modification of the Wells-Riley model. Building and Environment. 205. 108278–108278. 61 indexed citations
15.
Aganović, Amar, et al.. (2021). Ventilation design conditions associated with airborne bacteria levels within the wound area during surgical procedures: a systematic review. Journal of Hospital Infection. 113. 85–95. 16 indexed citations
16.
Zhu, Cheng, Amar Aganović, Guangyu Cao, & Zhongming Bu. (2021). Experimental and simulated evaluations of airborne contaminant exposure in a room with a modified localized laminar airflow system. Environmental Science and Pollution Research. 28(24). 30642–30663. 13 indexed citations
17.
18.
Cao, Guangyu, et al.. (2018). Do surgeons and surgical facilities disturb the clean air distribution close to a surgical patient in an orthopedic operating room with laminar airflow?. American Journal of Infection Control. 46(10). 1115–1122. 42 indexed citations
19.
Aganović, Amar, et al.. (2017). Indoor air quality in mechanically ventilated residential dwellings/low-rise buildings: A review of existing information. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
20.
Aganović, Amar, et al.. (2017). Impact of surgical lights on the velocity distribution and airborne contamination level in an operating room with laminar airflow system. Building and Environment. 126. 42–53. 42 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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