Michael Lindenbaum

5.0k citations
93 papers · 3.0k · h-index 27

Impact in

Papers in

    • Advanced Vision and Imaging 21
    • Image and Object Detection Techniques 19
    • Medical Image Segmentation Techniques 16
    • Advanced Image and Video Retrieval Techniques 13
    • Digital Image Processing Techniques 11
    • Video Surveillance and Tracking Methods 9
    • Machine Learning and Algorithms 11

Michael Lindenbaum

89 papers receiving 2.9k citations

Peers

Michael Lindenbaum
Comparison fields: 5 of 137
  • Computer Vision and Pattern Recognition 1.9k
  • Computer Graphics and Computer-Aided Design 257
  • Geology 218
  • Computational Mathematics 18
  • Media Technology 262
Replace Sameer Agarwal with:
Sameer Agarwal United States
Connelly Barnes United States
Alex Bronstein Israel
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Gene Cheung Japan
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Citations per field
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Citations per year

Countries citing papers authored by Michael Lindenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lindenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Lindenbaum, 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 Lindenbaum Line = papers co-authored together Michael Lindenbaum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997403
2 2000256
3 1999173
4 1994153
5 2018153
6 2004121
7
2009 IEEE 12th International Conference on Computer Vision (ICCV)
2009121
8 1996117
9 2008109
10 2011103
11 200992
12 201087
13 199870
14 199852
15 200250
16 199745
17 200045
18 200044
19 200843
20 199237

About Michael Lindenbaum

Michael Lindenbaum is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Media Technology and Computer Networks and Communications, having authored 93 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (21 papers), Image and Object Detection Techniques (19 papers), Robotics and Sensor-Based Localization (17 papers), Medical Image Segmentation Techniques (16 papers), Advanced Image and Video Retrieval Techniques (13 papers), Machine Learning and Algorithms (11 papers), Digital Image Processing Techniques (11 papers) and Video Surveillance and Tracking Methods (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Computer Graphics and Computer-Aided Design (257 citations), Geology (218 citations), Computational Mathematics (18 citations) and Media Technology (262 citations). Michael Lindenbaum has collaborated with scholars based in Israel, United States and Japan. Frequent co-authors include Alfred M. Bruckstein⋆, Allan I. Levey, Moshe Porat, Israel A. Wagner, Y.Y. Zeevi, Ido Leichter, Roman Sandler, Tamar Avraham, Craig Gotsman and Ehud Rivlin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Transactions on Image Processing, Pattern Recognition and Pattern Recognition Letters.

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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