Milan Marković

62 papers receiving 531 citations

Peers

Milan Marković
Comparison fields: 5 of 98
  • Health Informatics 12
  • Information Systems and Management 59
  • Transportation 55
  • Management Science and Operations Research 66
  • Computer Science Applications 29
Replace Stavros Souravlas with:
Stavros Souravlas Greece
Daniel Jiménez Colombia
Wasswa Shafik Brunei
Chetan Sharma India
Spiros Mouzakitis Greece
Ali Tufail Brunei
Arief Ramadhan Indonesia
Salvatore F. Pileggi Australia
Alireza Abdollahi Iran
Jorge E. Hernández United Kingdom
Milan Marković relative to Stavros Souravlas Greece Stavros Souravlas's profile →
Citations per field
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Stavros Souravlas · 1×
Citations per year

Countries citing papers authored by Milan Marković

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Milan Marković Line = papers co-authored together Milan Marković links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202178
2 202154
3 201930
4 201228
5 202225
6 202024
7 201923
8 202321
9 201520
10 202118
11 202015
12 202012
13 201612
14 201911
15
GetThere: a rural passenger information system utilising linked data & citizen sensing
201310
16 201910
17 20138
18 20198
19 20228
20 20197

About Milan Marković

Milan Marković is a scholar working on Information Systems and Management, Information Systems, Artificial Intelligence, Computer Science Applications and Management Science and Operations Research, having authored 62 papers that have together received 552 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (16 papers), Mobile Crowdsensing and Crowdsourcing (14 papers), Data Quality and Management (12 papers), Genetic and phenotypic traits in livestock (8 papers), Research Data Management Practices (8 papers), Human Mobility and Location-Based Analysis (7 papers), Blockchain Technology Applications and Security (5 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Health Informatics (12 citations), Information Systems and Management (59 citations), Transportation (55 citations), Management Science and Operations Research (66 citations) and Computer Science Applications (29 citations). Milan Marković has collaborated with scholars based in United Kingdom, Montenegro and United States. Frequent co-authors include Peter Edwards, Georgios Leontidis, David Corsar, Caitlin Cottrill, David May, David R. Matthews, Jessica Enright, Naomi Jacobs, John D. Nelson and Božidarka Marković. Their work appears in journals such as Lecture notes in computer science, Sustainability, Animals, Computers and Electronics in Agriculture and Transportation Research Interdisciplinary Perspectives.

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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