D. Pagac

540 citations
10 papers · 322 · h-index 8

Impact in

Papers in

D. Pagac

10 papers receiving 302 citations

Peers

D. Pagac
Comparison fields: 5 of 45
  • Industrial and Manufacturing Engineering 105
  • Computer Vision and Pattern Recognition 122
  • Aerospace Engineering 129
  • Ocean Engineering 49
  • Building and Construction 39
Replace Soohwan Song with:
Soohwan Song South Korea
Tran Hiep Dinh Australia
Zhengyu Xie China
Elena Cardarelli Italy
Xingjun Tian China
Yalong Ma China
Paulo Iscold Brazil
Daniel Meyer-Delius Germany
Yisong Zheng China
D. Pagac relative to Soohwan Song South Korea Soohwan Song's profile →
Citations per field
00.5×1.5×2.3×
Soohwan Song · 1×
Citations per year

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-authors

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

All Works

10 of 10 papers shown
#Work
1 1998151
2 201243
3 200742
4 200223
5 201120
6 201217
7 201010
8 20099
9 20116
10
Use of Quadtree Representation and Ultrasonic Sensors for Mapping a Mobile Robot's Environment
19941

About D. Pagac

D. Pagac is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Building and Construction, having authored 10 papers that have together received 322 indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (6 papers), Maritime Ports and Logistics (6 papers), Vehicle Routing Optimization Methods (4 papers), Data Management and Algorithms (2 papers), Urban and Freight Transport Logistics (2 papers), Robotic Path Planning Algorithms (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Optimization and Packing Problems (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (105 citations), Computer Vision and Pattern Recognition (122 citations), Aerospace Engineering (129 citations), Ocean Engineering (49 citations) and Building and Construction (39 citations). D. Pagac has collaborated with scholars based in Australia and Azerbaijan. Frequent co-authors include Hugh Durrant‐Whyte, E. Nebot, Shoudong Huang, Gamini Dissanayake, Dikai Liu, B. T. Skinner, Binghuang Cai, H. T. Lau, Shenfang Yuan and Henry Y.K. Lau. Their work appears in journals such as IEEE Robotics & Automation Magazine, Advanced Engineering Informatics, Computers & Industrial Engineering, IEEE Transactions on Automation Science and Engineering and IEEE Transactions on Robotics and Automation.

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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