Michael L. Pack

28 papers receiving 242 citations

Peers

Michael L. Pack
Comparison fields: 5 of 74
  • Transportation 97
  • Building and Construction 87
  • Modeling and Simulation 27
  • Signal Processing 57
  • Computer Vision and Pattern Recognition 104
Replace Massimiliano Luca with:
Massimiliano Luca Italy
Abdullah Kurkcu United States
Rui Xin China
Dev Oliver United States
Zhiren Huang China
Hongjian Wang United States
Fadratul Hafinaz Hassan Malaysia
Jiwon Kim Australia
Tran Viet Khoa Australia
Marcos Oliveira Brazil
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Citations per field
00.5×10×14.3×
Massimiliano Luca · 1×
Citations per year

Countries citing papers authored by Michael L. Pack

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Pack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael L. Pack. 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 Michael L. Pack. The network helps show where Michael L. Pack may publish in the future.

Co-authors

The 19 scholars most cited alongside Michael L. Pack, 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 Michael L. Pack Line = papers co-authored together Michael L. Pack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202152
2 201336
3
TRANSPORTATION MANAGEMENT APPLICATIONS OF ANONYMOUS MOBILE CALL SAMPLING
200128
4 201023
5 200922
6 200917
7 201311
8 201010
9 201410
10
Analyzing Incident Management Event Sequences with Interactive Visualization
20119
11 20037
12 20126
13
Considerations of Current and Emerging Transportation Management Center Data
20195
14 20175
15
An Automated Camera Repositioning Technique for Integrating Video Image Vehicle Detection Systems with Freeway CCTV Systems
20033
16 20133
17 20083
18 20142
19 19712
20 19922

About Michael L. Pack

Michael L. Pack is a scholar working on Computer Vision and Pattern Recognition, Building and Construction, Transportation, Signal Processing and Computer Networks and Communications, having authored 31 papers that have together received 267 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (12 papers), Data Visualization and Analytics (11 papers), Transportation Planning and Optimization (5 papers), Data Management and Algorithms (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Multimedia Communication and Technology (2 papers), Data-Driven Disease Surveillance (2 papers) and Geographic Information Systems Studies (2 papers). The work is most often cited by research in Transportation (97 citations), Building and Construction (87 citations), Modeling and Simulation (27 citations), Signal Processing (57 citations) and Computer Vision and Pattern Recognition (104 citations). Michael L. Pack has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Catherine Plaisant, Ben Shneiderman, Krist Wongsuphasawat, Brian L. Smith, Darya Filippova, David J. Lovell, Songhua Hu, Qianqian Sun, Lei Zhang and Mofeng Yang. Their work appears in journals such as Transportation Research Part C Emerging Technologies, IEEE Transactions on Visualization and Computer Graphics, ITE journal, IEEE Computer Graphics and Applications and Transportation Research Record Journal of the Transportation Research Board.

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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