Miloš Balać

1.6k total citations
65 papers, 1.1k citations indexed

About

Miloš Balać is a scholar working on Automotive Engineering, Transportation and Building and Construction. According to data from OpenAlex, Miloš Balać has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Automotive Engineering, 46 papers in Transportation and 14 papers in Building and Construction. Recurrent topics in Miloš Balać's work include Transportation and Mobility Innovations (45 papers), Transportation Planning and Optimization (42 papers) and Urban Transport and Accessibility (20 papers). Miloš Balać is often cited by papers focused on Transportation and Mobility Innovations (45 papers), Transportation Planning and Optimization (42 papers) and Urban Transport and Accessibility (20 papers). Miloš Balać collaborates with scholars based in Switzerland, France and Germany. Miloš Balać's co-authors include Kay W. Axhausen, Francesco Ciari, Sebastian Hörl, Raoul Rothfeld, Henrik Becker, Constantinos Antoniou, Mengying Fu, Kay O. Ploetner, Michael Balmer and Basil Schmid and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Transportation Research Part C Emerging Technologies.

In The Last Decade

Miloš Balać

63 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miloš Balać Switzerland 17 778 736 237 190 112 65 1.1k
Carlos Llorca Germany 17 429 0.6× 460 0.6× 42 0.2× 164 0.9× 254 2.3× 50 927
Vincent A.C. van den Berg Netherlands 15 551 0.7× 797 1.1× 49 0.2× 198 1.0× 276 2.5× 47 921
Ioanna Pagoni Greece 12 433 0.6× 325 0.4× 219 0.9× 85 0.4× 15 0.1× 22 601
Miquel Estrada Spain 19 649 0.8× 694 0.9× 90 0.4× 439 2.3× 205 1.8× 62 1.1k
K. I. Wong Taiwan 16 746 1.0× 835 1.1× 222 0.9× 306 1.6× 125 1.1× 40 1.1k
Diana Jorge Portugal 11 545 0.7× 370 0.5× 290 1.2× 222 1.2× 22 0.2× 15 703
Stefano Carrese Italy 16 428 0.6× 421 0.6× 73 0.3× 276 1.5× 109 1.0× 53 872
Ta‐Hui Yang Taiwan 10 333 0.4× 528 0.7× 36 0.2× 269 1.4× 81 0.7× 24 829
Nabin Kafle United States 7 230 0.3× 109 0.1× 72 0.3× 254 1.3× 37 0.3× 7 509
Alexandre G. de Barros Canada 14 135 0.2× 443 0.6× 83 0.4× 137 0.7× 45 0.4× 31 840

Countries citing papers authored by Miloš Balać

Since Specialization
Citations

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

Fields of papers citing papers by Miloš Balać

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miloš Balać

This figure shows the co-authorship network connecting the top 25 collaborators of Miloš Balać. A scholar is included among the top collaborators of Miloš Balać 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 Miloš Balać. Miloš Balać 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.
Balać, Miloš, et al.. (2025). Deep learning approach to predict microscopic pollutant emissions from mesoscopic traffic simulations. Transportation Research Part D Transport and Environment. 146. 104791–104791. 1 indexed citations
2.
Sciarretta, Antonio, et al.. (2024). Deep Learning-Based Mesoscopic Pollutant Emissions Modeling in Road Traffic Networks. 51. 1–7. 1 indexed citations
3.
4.
Rutte, Epke A. Le, Andrew J. Shattock, Cheng Zhao, et al.. (2023). A case for ongoing structural support to maximise infectious disease modelling efficiency for future public health emergencies: A modelling perspective. Epidemics. 46. 100734–100734. 2 indexed citations
5.
Sciarretta, Antonio, et al.. (2023). A Two-Stage Deep Learning Based Approach for Predicting Instantaneous Vehicle Speed Profiles on Road Networks. 51. 1636–1642. 1 indexed citations
6.
Hörl, Sebastian & Miloš Balać. (2021). Open synthetic travel demand for Paris and Île-de-France: Inputs and output data. SHILAP Revista de lepidopterología. 39. 107622–107622. 13 indexed citations
7.
Balać, Miloš, et al.. (2021). An open data-driven approach for travel demand synthesis: an application to São Paulo. Regional Studies Regional Science. 8(1). 371–386. 6 indexed citations
8.
Hörl, Sebastian & Miloš Balać. (2021). Synthetic population and travel demand for Paris and Île-de-France based on open and publicly available data. Transportation Research Part C Emerging Technologies. 130. 103291–103291. 87 indexed citations
9.
Ruch, Claudio, et al.. (2021). Simulation-Based Assessment of Parking Constraints for Automated Mobility on Demand: A Case Study of Zurich. SHILAP Revista de lepidopterología. 3(2). 272–286. 2 indexed citations
10.
Rothfeld, Raoul, Mengying Fu, Miloš Balać, & Constantinos Antoniou. (2021). Potential Urban Air Mobility Travel Time Savings: An Exploratory Analysis of Munich, Paris, and San Francisco. Sustainability. 13(4). 2217–2217. 78 indexed citations
11.
Balać, Miloš. (2021). The market potential of Urban Air Mobility in the USA: Analysis based on open-data. 1419–1424. 4 indexed citations
12.
Balać, Miloš, Sebastian Hörl, & Kay W. Axhausen. (2020). Fleet Sizing for Pooled (Automated) Vehicle Fleets. Transportation Research Record Journal of the Transportation Research Board. 2674(9). 168–176. 16 indexed citations
13.
Becker, Henrik, Miloš Balać, Francesco Ciari, & Kay W. Axhausen. (2019). Assessing the welfare impacts of Shared Mobility and Mobility as a Service (MaaS). Transportation Research Part A Policy and Practice. 131. 228–243. 168 indexed citations
14.
Rothfeld, Raoul, Miloš Balać, Kay O. Ploetner, & Constantinos Antoniou. (2018). Initial Analysis of Urban Air Mobility’s Transport Performance in Sioux Falls. 2018 Aviation Technology, Integration, and Operations Conference. 36 indexed citations
15.
Becker, Henrik, Miloš Balać, Francesco Ciari, & Kay W. Axhausen. (2018). Assessing the welfare impacts of shared mobility and Mobility as a Service (MaaS). Repository for Publications and Research Data (ETH Zurich). 1378. 7 indexed citations
16.
Balać, Miloš, et al.. (2017). Implementation of Vehicle Relocation for Carsharing Services in the Multiagent Transport Simulation MATSim. PolyPublie (École Polytechnique de Montréal). 4 indexed citations
17.
Balać, Miloš, et al.. (2017). Equity effects of congestion charges: An exploratory analysis with MATSim. PolyPublie (École Polytechnique de Montréal). 14 indexed citations
18.
Balać, Miloš & Kay W. Axhausen. (2016). Activity rescheduling within a multi-agent transport simulation framework (MATSim). Repository for Publications and Research Data (ETH Zurich). 1 indexed citations
19.
Ciari, Francesco, Miloš Balać, & Michael Balmer. (2015). Modelling the effect of different pricing schemes on free-floating carsharing travel demand: a test case for Zurich, Switzerland. Transportation. 42(3). 413–433. 56 indexed citations
20.
Verma, Trivik, et al.. (2015). Evaluating the effects of variable user demand on a round-trip, one-way, and free-floating car sharing fleet in the city of Zurich, Switzerland. Repository for Publications and Research Data (ETH Zurich). 50. 1 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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