Tamara Djukic

524 total citations
22 papers, 360 citations indexed

About

Tamara Djukic is a scholar working on Transportation, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Tamara Djukic has authored 22 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Transportation, 13 papers in Building and Construction and 6 papers in Control and Systems Engineering. Recurrent topics in Tamara Djukic's work include Transportation Planning and Optimization (15 papers), Traffic Prediction and Management Techniques (13 papers) and Traffic control and management (6 papers). Tamara Djukic is often cited by papers focused on Transportation Planning and Optimization (15 papers), Traffic Prediction and Management Techniques (13 papers) and Traffic control and management (6 papers). Tamara Djukic collaborates with scholars based in Netherlands, Greece and Italy. Tamara Djukic's co-authors include Hans van Lint, Serge Hoogendoorn, Panchamy Krishnakumari, Oded Cats, Gunnar Flötteröd, Jordi Casas, Ernesto Cipriani, Lídia Montero, Vincenzo Punzo and Biagio Ciuffo and has published in prestigious journals such as Transportation Research Part C Emerging Technologies, Transportation Research Record Journal of the Transportation Research Board and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Tamara Djukic

21 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamara Djukic Netherlands 9 305 244 111 45 25 22 360
L. Montero Spain 9 281 0.9× 200 0.8× 102 0.9× 50 1.1× 17 0.7× 15 340
Mehmet Ali Silgu Türkiye 11 190 0.6× 157 0.6× 217 2.0× 104 2.3× 14 0.6× 20 311
H Lieu United States 7 219 0.7× 181 0.7× 272 2.5× 56 1.2× 10 0.4× 16 333
Jiexia Ye China 6 195 0.6× 230 0.9× 69 0.6× 20 0.4× 40 1.6× 11 284
J B Lesort France 10 322 1.1× 219 0.9× 339 3.1× 45 1.0× 18 0.7× 21 404
Xia Wan China 11 177 0.6× 123 0.5× 200 1.8× 143 3.2× 7 0.3× 29 353
Srinivasa Ravi Chandra United States 3 277 0.9× 352 1.4× 187 1.7× 24 0.5× 48 1.9× 5 386
Roland Chrobok Germany 6 149 0.5× 169 0.7× 111 1.0× 21 0.5× 41 1.6× 9 229
Juan Pan United States 4 111 0.4× 125 0.5× 119 1.1× 47 1.0× 14 0.6× 9 243

Countries citing papers authored by Tamara Djukic

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Djukic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Djukic

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara Djukic. A scholar is included among the top collaborators of Tamara Djukic 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 Tamara Djukic. Tamara Djukic 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.
Gerostathopoulos, Ilias, et al.. (2021). A Software-Agnostic Agent-based Platform for Modelling Emerging Mobility Systems. Zenodo (CERN European Organization for Nuclear Research). 1–6. 3 indexed citations
2.
Krishnakumari, Panchamy, Hans van Lint, Tamara Djukic, & Oded Cats. (2019). A data driven method for OD matrix estimation. Transportation research procedia. 38. 139–159. 29 indexed citations
3.
Djukic, Tamara, et al.. (2019). Dynamic congestion toll pricing strategies to evaluate the potential of route-demand diversion on toll facilities. Transportation research procedia. 41. 731–740. 8 indexed citations
4.
Krishnakumari, Panchamy, Hans van Lint, Tamara Djukic, & Oded Cats. (2019). A data driven method for OD matrix estimation. Transportation Research Part C Emerging Technologies. 113. 38–56. 52 indexed citations
5.
Djukic, Tamara, et al.. (2018). Efficient OD matrix estimation based on metamodel for nonlinear assignment function. Transport Research Forum. 1 indexed citations
6.
Djukic, Tamara, et al.. (2018). Heuristic-based framework for dynamic OD demand estimation in the congested networks. Transportation Research Board 97th Annual MeetingTransportation Research Board. 1 indexed citations
7.
Djukic, Tamara, et al.. (2018). Local traffic patterns extraction with network-wide consistency in large urban networks. Transportation research procedia. 34. 259–266. 1 indexed citations
8.
Saifuzzaman, Mohammad, et al.. (2018). Unsupervised Incident Detection Model in Urban and Freeway Networks. 6 indexed citations
9.
Djukic, Tamara, et al.. (2016). Exploratory Analysis of Traveller’s Compliance with Smartphone Personal Route Advice: In a Field Trial Amsterdam. TNO Repository. 2 indexed citations
10.
Djukic, Tamara, Jaume Barceló, L. Montero, et al.. (2015). Advanced Traffic Data for Dynamic Origin-Destination Demand Estimation : State of the Art and Benchmark Study. Research Repository (Delft University of Technology). 2 indexed citations
11.
Antoniou, Constantinos, Jaume Barceló, Jordi Casas, et al.. (2015). Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design, demonstration and validation. Transportation Research Part C Emerging Technologies. 66. 79–98. 90 indexed citations
12.
Djukic, Tamara, et al.. (2015). Advanced traffic data for dynamic OD demand estimation: The state of the art and benchmark study. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 1–16. 12 indexed citations
13.
Djukic, Tamara, Hans van Lint, & Serge Hoogendoorn. (2014). Methodology for efficient real time OD demand estimation on large scale networks. Research Repository (Delft University of Technology). 3 indexed citations
14.
Antoniou, A., Biagio Ciuffo, L. Montero, et al.. (2014). A framework for the benchmarking of OD estimation and prediction algorithms. Research Repository (Delft University of Technology). 4 indexed citations
15.
Djukic, Tamara. (2014). Dynamic OD demand estimation and prediction for dynamic traffic management. Research Repository (Delft University of Technology). 24 indexed citations
16.
Djukic, Tamara, et al.. (2013). Incorporating the structural information into the estimation of OD matrices. 1–5. 1 indexed citations
17.
Djukic, Tamara. (2013). Reliability assessment of dynamic OD estimation methods based on structural similarity index. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 1–13. 14 indexed citations
18.
Djukic, Tamara, Gunnar Flötteröd, Hans van Lint, & Serge Hoogendoorn. (2012). Efficient real time OD matrix estimation based on Principal Component Analysis. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 115–121. 52 indexed citations
19.
Djukic, Tamara, Hans van Lint, & Serge Hoogendoorn. (2012). Application of Principal Component Analysis to Predict Dynamic Origin–Destination Matrices. Transportation Research Record Journal of the Transportation Research Board. 2283(1). 81–89. 41 indexed citations
20.
Djukic, Tamara, Hans van Lint, & Serge Hoogendoorn. (2011). Efficient Methodology for Benchmarking Dynamic Origin–Destination Demand Estimation Methods. Transportation Research Record Journal of the Transportation Research Board. 2263(1). 35–44. 2 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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