Michael Droettboom

22.5k total citations
21 papers, 329 citations indexed

About

Michael Droettboom is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Instrumentation. According to data from OpenAlex, Michael Droettboom has authored 21 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 4 papers in Instrumentation. Recurrent topics in Michael Droettboom's work include Handwritten Text Recognition Techniques (5 papers), Image Processing and 3D Reconstruction (5 papers) and Music and Audio Processing (4 papers). Michael Droettboom is often cited by papers focused on Handwritten Text Recognition Techniques (5 papers), Image Processing and 3D Reconstruction (5 papers) and Music and Audio Processing (4 papers). Michael Droettboom collaborates with scholars based in United States, Canada and Germany. Michael Droettboom's co-authors include Ichiro Fujinaga, Christoph Dalitz, P. Greenfield, Jianfei Liu, Johnny Tam, Tao Liu, Sayeed Choudhury, Brian Harrington, Mark Patton and H. Bushouse and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Biomedical Optics Express and Journal of neural transmission. Supplementum.

In The Last Decade

Michael Droettboom

17 papers receiving 294 citations

Peers

Michael Droettboom
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 197
  • Signal Processing 168
  • Ophthalmology 45
  • Artificial Intelligence 36
  • Music 30
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Citations per field, relative to Michael Droettboom
Michael Droettboom · 1×
Citations per year, relative to Michael Droettboom
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Countries citing papers authored by Michael Droettboom

Since Specialization
Citations

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

Fields of papers citing papers by Michael Droettboom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Droettboom

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Droettboom. A scholar is included among the top collaborators of Michael Droettboom 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 Michael Droettboom. Michael Droettboom 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
# Work Indexed citations
1 0
2 0
3
The JWST Data Calibration Pipeline
0
4 53
5 36
6 1
7 81
8 13
9
Symbol Level Groundtruthing Environment in OMR
4
10 18
11 4
12 12
13 14
14
A System to Port Unit Generators Between Audio DSP Systems
0
15
Audio Latency Measurements of Desktop Operating Systems
15
16 3
17 10
18
Gamera: A Python-based Toolkit for Structured Document Recognition
2
19
Gamera: A Structured Document Recognition Application Development Environment
8
20
Optical Music Recognition System within a Large-Scale Digitization Project
34

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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