D. Pagac

538 total citations
10 papers, 322 citations indexed

About

D. Pagac is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, D. Pagac has authored 10 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Industrial and Manufacturing Engineering, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in D. Pagac's work include Advanced Manufacturing and Logistics Optimization (6 papers), Maritime Ports and Logistics (6 papers) and Vehicle Routing Optimization Methods (4 papers). D. Pagac is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (6 papers), Maritime Ports and Logistics (6 papers) and Vehicle Routing Optimization Methods (4 papers). D. Pagac collaborates with scholars based in Australia and Azerbaijan. D. Pagac's co-authors include Hugh Durrant‐Whyte, E. Nebot, Dikai Liu, Shoudong Huang, Gamini Dissanayake, Binghuang Cai, H. T. Lau, Shenfang Yuan, Henry Y.K. Lau and Shun Yuan and has published in prestigious journals such as IEEE Transactions on Robotics and Automation, Computers & Industrial Engineering and Advanced Engineering Informatics.

In The Last Decade

D. Pagac

10 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Pagac Australia 8 130 122 105 50 49 10 322
Zhengyu Xie China 10 53 0.4× 124 1.0× 66 0.6× 27 0.5× 18 0.4× 30 353
Tran Hiep Dinh Australia 8 173 1.3× 174 1.4× 44 0.4× 48 1.0× 15 0.3× 18 370
Elena Cardarelli Italy 11 63 0.5× 169 1.4× 69 0.7× 21 0.4× 16 0.3× 19 324
Xiaofeng Liu China 13 143 1.1× 214 1.8× 64 0.6× 12 0.2× 24 0.5× 34 396
Xingjun Tian China 4 105 0.8× 230 1.9× 64 0.6× 62 1.2× 35 0.7× 13 327
Paulo Iscold Brazil 5 269 2.1× 202 1.7× 48 0.5× 43 0.9× 31 0.6× 6 354
Daniel Meyer-Delius Germany 8 178 1.4× 143 1.2× 18 0.2× 80 1.6× 28 0.6× 10 301
Yisong Zheng China 7 64 0.5× 116 1.0× 51 0.5× 51 1.0× 193 3.9× 12 358
Siavash Hosseinyalamdary Netherlands 9 112 0.9× 69 0.6× 17 0.2× 31 0.6× 20 0.4× 14 294

Countries citing papers authored by D. Pagac

Since Specialization
Citations

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

Fields of papers citing papers by D. Pagac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Pagac

This figure shows the co-authorship network connecting the top 25 collaborators of D. Pagac. A scholar is included among the top collaborators of D. Pagac 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 D. Pagac. D. Pagac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Cai, Binghuang, et al.. (2012). Multiobjective Optimization for Autonomous Straddle Carrier Scheduling at Automated Container Terminals. IEEE Transactions on Automation Science and Engineering. 10(3). 711–725. 17 indexed citations
2.
Huang, Shoudong, et al.. (2012). Optimisation for job scheduling at automated container terminals using genetic algorithm. Computers & Industrial Engineering. 64(1). 511–523. 44 indexed citations
3.
Yuan, Shenfang, Shoudong Huang, Dikai Liu, et al.. (2011). A job grouping approach for planning container transfers at automated seaport container terminals. Advanced Engineering Informatics. 25(3). 413–426. 20 indexed citations
4.
Cai, Binghuang, Shoudong Huang, Dikai Liu, et al.. (2011). Optimisation model and exact algorithm for autonomous straddle carrier scheduling at automated container terminals. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 3686–3693. 6 indexed citations
5.
Yuan, Shenfang, Shoudong Huang, Dikai Liu, et al.. (2010). Mathematical modelling of container transfers for a fleet of autonomous straddle carriers. 1261–1266. 10 indexed citations
6.
Yuan, Shun, H. T. Lau, Dikai Liu, et al.. (2009). Simultaneous dynamic scheduling and collision-free path planning for multiple autonomous vehicles. 522–527. 9 indexed citations
7.
Durrant‐Whyte, Hugh, et al.. (2007). Field and service applications - An autonomous straddle carrier for movement of shipping containers - From Research to Operational Autonomous Systems. IEEE Robotics & Automation Magazine. 14(3). 14–23. 42 indexed citations
8.
Pagac, D., E. Nebot, & Hugh Durrant‐Whyte. (2002). An evidential approach to probabilistic map-building. 1. 745–750. 23 indexed citations
9.
Pagac, D., E. Nebot, & Hugh Durrant‐Whyte. (1998). An evidential approach to map-building for autonomous vehicles. IEEE Transactions on Robotics and Automation. 14(4). 623–629. 150 indexed citations
10.
Nebot, E., et al.. (1994). Use of Quadtree Representation and Ultrasonic Sensors for Mapping a Mobile Robot's Environment. International Symposium on Information Theory and its Applications. 709. 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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