Alan J. Lipton

21 papers receiving 2.6k citations

Hit Papers

A System for Video Surveillance and Monitoring200020262008201720002002250500750

Peers

Alan J. Lipton
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 2.5k
  • Artificial Intelligence 603
  • Electrical and Electronic Engineering 380
  • Aerospace Engineering 352
  • Biomedical Engineering 252
Replace I. Haritaoglu with:
I. Haritaoglu United States
Anthony Dick Australia
Bo Wu United States
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Longyin Wen China
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Alan J. Lipton relative to I. Haritaoglu United States I. Haritaoglu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Alan J. Lipton

Since Specialization
Citations

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

Fields of papers citing papers by Alan J. Lipton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan J. Lipton. 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 Alan J. Lipton. The network helps show where Alan J. Lipton may publish in the future.

Co-authorship network of co-authors of Alan J. Lipton

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1
A Robust Human Detection and Tracking System Using a Human-Model-Based Camera Calibration
15
2 107
3 12
4 38
5 7
6 10
7 10
8 6
9 15
10 9
11
Moving target classification and tracking from real-time videobreakdown →
725
12 134
13 423
14 287
15
Advances in Cooperative Multi-Sensor Video Surveillance
129
16
Using a DEM to Determine Geospatial Object Trajectories
14
17
Cooperative Multi-Sensor Video Surveillance
22
18
Local Application of Optic Flow to Analyse Rigid versus Non-Rigid Motion
25
19
A System for Video Surveillance and Monitoring CMU VSAM Final Report
23
20 1

About Alan J. Lipton

Alan J. Lipton is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Safety, Risk, Reliability and Quality, having authored 21 papers that have together received 2.9k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (15 papers), Advanced Vision and Imaging (9 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Safety, Risk, Reliability and Quality (233 citations) and Artificial Intelligence (603 citations). Alan J. Lipton has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Hironobu Fujiyoshi, Robert T. Collins, Takeo Kanade, R. Patil, Peter J. Burt, David Duggins, Yanghai Tsin, Lambert E. Wixson, Nobuyoshi Enomoto and David Tolliver. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Microscopy Research and Technique.

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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