Ivan Lazović

695 total citations
27 papers, 410 citations indexed

About

Ivan Lazović is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis and Electrical and Electronic Engineering. According to data from OpenAlex, Ivan Lazović has authored 27 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Engineering, 9 papers in Health, Toxicology and Mutagenesis and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Ivan Lazović's work include Air Quality Monitoring and Forecasting (11 papers), Air Quality and Health Impacts (9 papers) and Building Energy and Comfort Optimization (4 papers). Ivan Lazović is often cited by papers focused on Air Quality Monitoring and Forecasting (11 papers), Air Quality and Health Impacts (9 papers) and Building Energy and Comfort Optimization (4 papers). Ivan Lazović collaborates with scholars based in Serbia, Australia and Norway. Ivan Lazović's co-authors include Milena Jovašević-Stojanović, M. Jovanović, Biljana Vučićević, Valentina Turanjanin, Dušan Topalović, Alena Bartoňová, Boris Pokrić, Zoran Ristovski, Marija Živković and Žarko Stevanović and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Pollution and Energy Conversion and Management.

In The Last Decade

Ivan Lazović

21 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Lazović Serbia 9 257 212 117 55 49 27 410
Nuno R. Martins Portugal 9 234 0.9× 267 1.3× 178 1.5× 29 0.5× 39 0.8× 15 467
Tran Ngọc Quang Vietnam 9 280 1.1× 190 0.9× 49 0.4× 52 0.9× 21 0.4× 17 371
Jun Guan China 12 149 0.6× 93 0.4× 124 1.1× 15 0.3× 37 0.8× 17 342
Angelamaria Massimo Italy 7 233 0.9× 180 0.8× 183 1.6× 19 0.3× 76 1.6× 7 403
Jensen Zhang United States 4 164 0.6× 115 0.5× 101 0.9× 15 0.3× 93 1.9× 12 346
Valeria Rizza Italy 10 243 0.9× 209 1.0× 19 0.2× 76 1.4× 20 0.4× 11 394
Marek Badura Poland 8 240 0.9× 286 1.3× 33 0.3× 73 1.3× 9 0.2× 13 376
Adams Rackes United States 11 219 0.9× 228 1.1× 288 2.5× 28 0.5× 108 2.2× 13 540
Junwei Ding China 8 93 0.4× 167 0.8× 149 1.3× 18 0.3× 110 2.2× 8 341
Moshood Olawale Fadeyi Singapore 12 264 1.0× 129 0.6× 170 1.5× 48 0.9× 28 0.6× 21 473

Countries citing papers authored by Ivan Lazović

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Lazović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Lazović

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Lazović. A scholar is included among the top collaborators of Ivan Lazović 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 Ivan Lazović. Ivan Lazović 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.
Dimović, Slavko, et al.. (2024). Rapid deep learning prediction model using satellite imagery for radiation accident Announcement system in Serbia. Nuclear Engineering and Design. 430. 113657–113657. 1 indexed citations
2.
Lazović, Ivan, et al.. (2024). Symmetric U-Net Model Tuned by FOX Metaheuristic Algorithm for Global Prediction of High Aerosol Concentrations. Symmetry. 16(5). 525–525. 1 indexed citations
3.
Marković, Zoran, et al.. (2024). Results of the temperature variation in experimental research of the Kolubara lignite drying process in fluidized bed. VinaR (Institute of Nuclear Sciences "Vinča"). 316–323.
4.
Lazović, Ivan, et al.. (2024). Transfer Learning with ResNet3D-101 for Global Prediction of High Aerosol Concentrations. Mathematics. 12(6). 826–826. 3 indexed citations
5.
Kleut, Duška, M. Davidović, Marija Živković, et al.. (2024). Data Evaluation of a Low-Cost Sensor Network for Atmospheric Particulate Matter Monitoring in 15 Municipalities in Serbia. Sensors. 24(13). 4052–4052. 4 indexed citations
6.
7.
Lazović, Ivan, et al.. (2023). A Comparative Evaluation of Self-Attention Mechanism with ConvLSTM Model for Global Aerosol Time Series Forecasting. Mathematics. 11(7). 1744–1744. 5 indexed citations
8.
Tasić, Viša, et al.. (2023). Civil air quality monitoring as an alternative and supplement to the National Air Quality Monitoring Network. Thermal Science. 27(3 Part B). 2255–2263.
9.
Lazović, Ivan, et al.. (2023). Satellite remote sensing and deep learning for aerosols prediction. SHILAP Revista de lepidopterología. 71(1). 66–83.
10.
Lazović, Ivan, et al.. (2023). Bitcoin monthly return forecast: A comparison of ARIMA and multi layer Perceptron Artificial Neural Network. International Review. 149–162. 1 indexed citations
11.
Lazović, Ivan, et al.. (2023). Numerical simulation of the gas flow through the rectangular channel with perforated plate. Thermal Science. 27(3 Part B). 2241–2253.
12.
Lazović, Ivan, et al.. (2023). Optimization of the flue gas-flow controlling devices of the electrostatic precipitator of unit A4 in TPP "Nikola Tesla". Thermal Science. 27(5 Part A). 3591–3606. 1 indexed citations
13.
Tasić, Viša, et al.. (2022). Performance assessment of NOVA SDS011 low-cost PM sensor in various microenvironments. Environmental Monitoring and Assessment. 194(9). 595–595. 10 indexed citations
14.
Lazović, Ivan, et al.. (2022). The efficiency of gas-filled surge arresters in the environment contaminated by non-ionizing radiation of fusion reactors. Nuclear Technology and Radiation Protection. 37(1). 51–56. 5 indexed citations
15.
Lazović, Ivan, et al.. (2022). Influence of the building energy efficiency on indoor air temperature: The case of a typical school classroom in Serbia. Thermal Science. 26(4 Part B). 3605–3618. 6 indexed citations
16.
Jovanović, M., Biljana Vučićević, Valentina Turanjanin, Ivan Lazović, & Marija Živković. (2018). Assessing the sustainability of Serbian school buildings by analyse and syntesis parameters under information deficiency method. Thermal Science. 22(Suppl. 4). 1271–1283. 8 indexed citations
17.
Lazović, Ivan, et al.. (2018). Results of the modernization of the electrostatic precipitator at unit B1 of the Thermal Power Plant Kostolac B. Thermal Science. 22(Suppl. 5). 1623–1634. 2 indexed citations
18.
Jovašević-Stojanović, Milena, Alena Bartoňová, Dušan Topalović, et al.. (2015). On the use of small and cheaper sensors and devices for indicative citizen-based monitoring of respirable particulate matter. Environmental Pollution. 206. 696–704. 136 indexed citations
19.
Lazović, Ivan, et al.. (2015). Impact of CO2 concentration on indoor air quality and correlation with relative humidity and indoor air temperature in school buildings in Serbia. Thermal Science. 20(suppl. 1). 297–307. 38 indexed citations
20.
Turanjanin, Valentina, et al.. (2014). Indoor CO2 measurements in Serbian schools and ventilation rate calculation. Energy. 77. 290–296. 121 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

Breakdown of academic impact, for papers by Nuno R. Martins Breakdown of academic impact, for papers by Tran Ngọc Quang Breakdown of academic impact, for papers by Jun Guan Breakdown of academic impact, for papers by Angelamaria Massimo Breakdown of academic impact, for papers by Jensen Zhang Breakdown of academic impact, for papers by Valeria Rizza Breakdown of academic impact, for papers by Marek Badura Breakdown of academic impact, for papers by Adams Rackes Breakdown of academic impact, for papers by Junwei Ding Breakdown of academic impact, for papers by Moshood Olawale Fadeyi
Rankless by CCL
2026