Marko Subotić

13 papers receiving 559 citations

Hit Papers

A New Fuzzy MARCOS Method for Road Traffic Risk Analysis 2020 · 257 citations
2570+2+4Years since publication50100150200250

Peers

Marko Subotić
Comparison fields: 5 of 84
  • Management Science and Operations Research 320
  • Strategy and Management 143
  • Transportation 46
  • Industrial and Manufacturing Engineering 62
  • Safety, Risk, Reliability and Quality 55
Replace Duško Tešić with:
Duško Tešić Serbia
Jagannath Roy India
Gholamreza Haseli Iran
Mohammad Majid Fouladgar Iran
Vesko Lukovac Serbia
Yakup Çelikbilek Türkiye
Mouhamed Bayane Bouraima China
Gordan Stojić Serbia
İrem Uçal Sarı Türkiye
Nilsen Karakaşoğlu Türkiye
Marko Subotić relative to Duško Tešić Serbia Duško Tešić's profile →
Citations per field
00.5×1.6×
Duško Tešić · 1×
Citations per year

Countries citing papers authored by Marko Subotić

Since Specialization
Citations

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

Fields of papers citing papers by Marko Subotić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Marko Subotić, 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 Marko Subotić Line = papers co-authored together Marko Subotić links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
A New Fuzzy MARCOS Method for Road Traffic Risk Analysis
Hit paper breakdown →
2020257
2 202179
3 202069
4 201867
5 202249
6 202019
7 20178
8 20207
9 20167
10 20227
11 20224
12 20243
13 20172
14 20200
15 20200

About Marko Subotić

Marko Subotić is a scholar working on Civil and Structural Engineering, Building and Construction, Management Science and Operations Research, Control and Systems Engineering and Transportation, having authored 15 papers that have together received 578 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (7 papers), Transportation Systems and Logistics (5 papers), Multi-Criteria Decision Making (5 papers), Infrastructure Maintenance and Monitoring (4 papers), Traffic control and management (4 papers), Transportation Planning and Optimization (3 papers), Vehicle emissions and performance (1 paper) and Risk and Safety Analysis (1 paper). The work is most often cited by research in Management Science and Operations Research (320 citations), Strategy and Management (143 citations), Transportation (46 citations), Industrial and Manufacturing Engineering (62 citations) and Safety, Risk, Reliability and Quality (55 citations). Marko Subotić has collaborated with scholars based in Bosnia and Herzegovina, Serbia and South Africa. Frequent co-authors include Željko Stević, Dragan Pamučar, Dillip Kumar Das, Miomir Stanković, Edmundas Kazimieras Zavadskas, Jurgita Antuchevičienė, Abbas Mardani, Ivan Ivanović, Milan P. Vujanic and Boris Antić. Their work appears in journals such as Sustainability, Energy Sources Part B Economics Planning and Policy, Symmetry, Mathematics and PROMET - Traffic&Transportation.

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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