Milan Marković
Impact in
- Transportation top 10%
- Transportation Planning and Optimization
Papers in
-
- Mobile Crowdsensing and Crowdsourcing 11
-
- Privacy-Preserving Technologies in Data 5
- Co-authors
- Peter Edwards (28 shared papers)Georgios Leontidis (4 shared papers)Jessica Enright (2 shared papers)David R. Matthews (2 shared papers)Caitlin Cottrill (11 shared papers)Naomi Jacobs (8 shared papers)Božidarka Marković (10 shared papers)David Corsar (11 shared papers)
- Journals
- Computers and Electronics in Agriculture (1 paper)IEEE Access (1 paper)Journal of Data and Information Quality (1 paper)Sensors (1 paper)Sustainability (1 paper)
- Partner nations
- United KingdomMontenegroUnited States
In The Last Decade
Milan Marković
47 papers receiving 396 citations
Peers
Comparison fields: 5 of 93
- Transportation 46
- Health Informatics 7
- Computer Science Applications 21
- Information Systems 78
- Management Science and Operations Research 41
Countries citing papers authored by Milan Marković
This map shows the geographic impact of Milan Marković'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 Milan Marković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milan Marković more than expected).
Fields of papers citing papers by Milan Marković
This network shows the impact of papers produced by Milan Marković. 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 Milan Marković. The network helps show where Milan Marković may publish in the future.
Co-authors
The 25 scholars most cited alongside Milan Marković, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 71 | |
| 2 | 2021 | 53 | |
| 3 | 2012 | 27 | |
| 4 | 2019 | 25 | |
| 5 | 2019 | 22 | |
| 6 | 2022 | 22 | |
| 7 | 2020 | 19 | |
| 8 | 2023 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 11 | |
| 12 | GetThere: a rural passenger information system utilising linked data & citizen sensing | 2013 | 8 |
| 13 | 2019 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2007 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2018 | 6 | |
| 20 | Short paper: citizen sensing within a real-time passenger information system | 2013 | 6 |
About Milan Marković
Milan Marković is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems, Management Science and Operations Research and Information Systems and Management, having authored 49 papers that have together received 416 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (11 papers), Genetic and phenotypic traits in livestock (8 papers), Data Quality and Management (8 papers), Scientific Computing and Data Management (7 papers), Human Mobility and Location-Based Analysis (7 papers), IoT and Edge/Fog Computing (5 papers), Smart Cities and Technologies (5 papers) and Privacy-Preserving Technologies in Data (5 papers). The work is most often cited by research in Transportation (46 citations), Health Informatics (7 citations), Computer Science Applications (21 citations), Information Systems (78 citations) and Management Science and Operations Research (41 citations). Milan Marković has collaborated with scholars based in United Kingdom, Montenegro and United States. Frequent co-authors include Peter Edwards, Georgios Leontidis, Jessica Enright, David R. Matthews, Caitlin Cottrill, Naomi Jacobs, Božidarka Marković, David Corsar, John D. Nelson and Norval J. C. Strachan. Their work appears in journals such as Computers and Electronics in Agriculture, IEEE Access, Journal of Data and Information Quality, Sensors and Sustainability.
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.