D. Pagac

540 citations
11 papers · 415 · h-index 9

Impact in

Papers in

D. Pagac

11 papers receiving 392 citations

Peers

D. Pagac
Comparison fields: 5 of 53
  • Industrial and Manufacturing Engineering 112
  • Computer Vision and Pattern Recognition 162
  • Aerospace Engineering 183
  • Ocean Engineering 63
  • Environmental Engineering 50
Replace Xiaofeng Liu with:
Xiaofeng Liu China
Chengzhi Qu China
Wei Jing China
Daniel Meyer-Delius Germany
Elias K. Xidias Greece
Lisang Liu China
Yalong Ma China
Paulo Iscold Brazil
Elena Cardarelli Italy
Tran Hiep Dinh Australia
D. Pagac relative to Xiaofeng Liu China Xiaofeng Liu's profile →
Citations per field
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Xiaofeng Liu · 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

11 of 11 papers shown
#Work
1 1998175
2 199661
3 201246
4 200744
5 200223
6 201122
7 201218
8 201010
9 20099
10 20116
11
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, Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition and Building and Construction, having authored 11 papers that have together received 415 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 (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), AI-based Problem Solving and Planning (2 papers), Urban and Freight Transport Logistics (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (112 citations), Computer Vision and Pattern Recognition (162 citations), Aerospace Engineering (183 citations), Ocean Engineering (63 citations) and Environmental Engineering (50 citations). D. Pagac has collaborated with scholars based in Australia and Azerbaijan. Frequent co-authors include Hugh Durrant‐Whyte, E. Nebot, Dikai Liu, Gamini Dissanayake, Shoudong Huang, B. T. Skinner, Binghuang Cai, H. T. Lau, Shenfang Yuan and Henry Y.K. Lau. Their work appears in journals such as Computers & Industrial Engineering, IEEE Transactions on Automation Science and Engineering, IEEE Robotics & Automation Magazine, IEEE Transactions on Robotics and Automation and Advanced Engineering Informatics.

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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