Dan S. Bloomberg

1.0k total citations
40 papers, 699 citations indexed

About

Dan S. Bloomberg is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Dan S. Bloomberg has authored 40 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 16 papers in Atomic and Molecular Physics, and Optics and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Dan S. Bloomberg's work include Magnetic properties of thin films (11 papers), Image Retrieval and Classification Techniques (11 papers) and Handwritten Text Recognition Techniques (10 papers). Dan S. Bloomberg is often cited by papers focused on Magnetic properties of thin films (11 papers), Image Retrieval and Classification Techniques (11 papers) and Handwritten Text Recognition Techniques (10 papers). Dan S. Bloomberg collaborates with scholars based in United States, France and Canada. Dan S. Bloomberg's co-authors include Luc Vincent, John Goutsias, G. Kopec, Lynn Wilcox, Karl H. Norris, Gordon F. Hughes, Meng H. Lean, Petros Maragos, V. Castelli and A. S. Arrott and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Magnetics and Computer Vision and Image Understanding.

In The Last Decade

Dan S. Bloomberg

39 papers receiving 630 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan S. Bloomberg United States 14 402 131 112 93 90 40 699
S. Huang United States 13 176 0.4× 160 1.2× 98 0.9× 126 1.4× 90 1.0× 33 641
Jingbo Zhang China 8 281 0.7× 94 0.7× 107 1.0× 70 0.8× 22 0.2× 19 668
Partha Sarkar India 16 161 0.4× 117 0.9× 170 1.5× 434 4.7× 102 1.1× 113 926
H.J.W. Spoelder Netherlands 14 210 0.5× 76 0.6× 63 0.6× 88 0.9× 44 0.5× 36 585
Marcin Kowalski Poland 16 297 0.7× 173 1.3× 84 0.8× 283 3.0× 14 0.2× 93 1.1k
Paul Dan Cristea Romania 14 176 0.4× 100 0.8× 46 0.4× 102 1.1× 16 0.2× 107 912
Jinghui Xie China 10 216 0.5× 64 0.5× 228 2.0× 48 0.5× 36 0.4× 34 526
Ouail Ouchetto Morocco 13 79 0.2× 94 0.7× 79 0.7× 41 0.4× 92 1.0× 46 658
Thomas F. Krile United States 16 185 0.5× 129 1.0× 138 1.2× 210 2.3× 9 0.1× 81 600
Guoqiang Han China 12 118 0.3× 108 0.8× 80 0.7× 120 1.3× 8 0.1× 33 467

Countries citing papers authored by Dan S. Bloomberg

Since Specialization
Citations

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

Fields of papers citing papers by Dan S. Bloomberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan S. Bloomberg. 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 Dan S. Bloomberg. The network helps show where Dan S. Bloomberg may publish in the future.

Co-authorship network of co-authors of Dan S. Bloomberg

This figure shows the co-authorship network connecting the top 25 collaborators of Dan S. Bloomberg. A scholar is included among the top collaborators of Dan S. Bloomberg 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 Dan S. Bloomberg. Dan S. Bloomberg 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
1.
Bloomberg, Dan S., et al.. (2002). Document image summarization without OCR. 1. 229–232. 8 indexed citations
2.
3.
Wilcox, Lynn, et al.. (2002). A comparison of discrete and continuous hidden Markov models for phrase spotting in text images. 1. 398–402. 10 indexed citations
4.
Bloomberg, Dan S., et al.. (2002). Extraction of indicative summary sentences from imaged documents. 1. 227–232. 5 indexed citations
5.
Minka, Thomas P., Dan S. Bloomberg, & Kris Popat. (2000). <title>Document image decoding using iterated complete path search</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4307. 250–258. 1 indexed citations
6.
Popat, Kris, Daniel Greene, Justin Romberg, & Dan S. Bloomberg. (2000). <title>Adding linguistic constraints to document image decoding: comparing the iterated complete path and stack algorithms</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4307. 259–271. 9 indexed citations
7.
Bloomberg, Dan S., et al.. (1998). Summarization of Imaged Documents without OCR. Computer Vision and Image Understanding. 70(3). 307–320. 25 indexed citations
8.
Bloomberg, Dan S., et al.. (1996). <title>Extraction of text-related features for condensing image documents</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2660. 72–88. 12 indexed citations
9.
Wilcox, Lynn, et al.. (1993). Word spotting in scanned images using hidden Markov models. IEEE International Conference on Acoustics Speech and Signal Processing. 1–4 vol.5. 40 indexed citations
10.
Bloomberg, Dan S.. (1991). <title>Image analysis using threshold reduction</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1568. 38–52. 5 indexed citations
11.
Bloomberg, Dan S. & Petros Maragos. (1990). <title>Generalized hit-miss operators</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1350. 116–128. 19 indexed citations
12.
Mayergoyz, I.D. & Dan S. Bloomberg. (1988). Analytical solutions for the three-dimensional side-fringing field of magnetic recording heads. Journal of Applied Physics. 63(8). 3381–3383.
13.
Bloomberg, Dan S.. (1987). Implementation of MB algorithm for nonlinear magnetostatics. IEEE Transactions on Magnetics. 23(6). 3927–3928. 1 indexed citations
14.
Treves, D. & Dan S. Bloomberg. (1987). Effect Of Birefringence On Optical Memory Systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 695. 262–262. 4 indexed citations
15.
Mayergoyz, I.D. & Dan S. Bloomberg. (1986). Analytical solution for side-fringing fields in perpendicular recording. IEEE Transactions on Magnetics. 22(3). 163–167. 3 indexed citations
16.
Lean, Meng H. & Dan S. Bloomberg. (1984). Nonlinear boundary element method for two-dimensional magnetostatics. Journal of Applied Physics. 55(6). 2195–2197. 24 indexed citations
17.
Lean, Meng H. & Dan S. Bloomberg. (1983). BEM analysis of spectral response from finite pole-length heads on perpendicular media. IEEE Transactions on Magnetics. 19(6). 2360–2363. 2 indexed citations
18.
Hughes, Gordon F. & Dan S. Bloomberg. (1977). Recording head side read/write effects. IEEE Transactions on Magnetics. 13(5). 1457–1459. 30 indexed citations
19.
Bloomberg, Dan S. & A. S. Arrott. (1975). Micromagnetics and Magnetostatics of an Iron Single Crystal Whisker. Canadian Journal of Physics. 53(15). 1454–1471. 10 indexed citations
20.
Arrott, A. S., B. Heinrich, Dan S. Bloomberg, et al.. (1973). Domain Configurations, Bloch Walls and Magnetization Processes in Iron Whiskers from D.C. to 200 kHz. Theory and Experiment II. AIP conference proceedings. 941–960. 7 indexed citations

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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