Michael L. Pack

467 citations
32 papers · 287 · h-index 10

Impact in

    • Transportation Planning and Optimization
    • Human Mobility and Location-Based Analysis
    • Urban Transport and Accessibility
    • Traffic Prediction and Management Techniques

Papers in

Michael L. Pack

29 papers receiving 261 citations

Peers

Michael L. Pack
Comparison fields: 5 of 73
  • Transportation 103
  • Building and Construction 93
  • Modeling and Simulation 26
  • Signal Processing 59
  • Computer Vision and Pattern Recognition 110
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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 20 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202155
2 201338
3
TRANSPORTATION MANAGEMENT APPLICATIONS OF ANONYMOUS MOBILE CALL SAMPLING
200128
4 200927
5 201023
6 200919
7 201313
8 201011
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 20074
16 20134
17
An Automated Camera Repositioning Technique for Integrating Video Image Vehicle Detection Systems with Freeway CCTV Systems
20033
18 20083
19 20022
20 20142

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 32 papers that have together received 287 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), Human Mobility and Location-Based Analysis (2 papers) and Cloud Computing and Remote Desktop Technologies (2 papers). The work is most often cited by research in Transportation (103 citations), Building and Construction (93 citations), Modeling and Simulation (26 citations), Signal Processing (59 citations) and Computer Vision and Pattern Recognition (110 citations). Michael L. Pack has collaborated with scholars based in United States, Switzerland and Poland. Frequent co-authors include Catherine Plaisant, Ben Shneiderman, Krist Wongsuphasawat, Darya Filippova, Brian L. Smith, David J. Lovell, Aref Darzi, Lei Zhang, Sepehr Ghader and Mofeng Yang. Their work appears in journals such as Transportation Research Part C Emerging Technologies, ITE journal, IEEE Computer Graphics and Applications, IEEE Transactions on Visualization and Computer Graphics 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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