E. Ratzlaff

452 total citations
11 papers, 321 citations indexed

About

E. Ratzlaff is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, E. Ratzlaff has authored 11 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in E. Ratzlaff's work include Handwritten Text Recognition Techniques (6 papers), Speech Recognition and Synthesis (4 papers) and Algorithms and Data Compression (3 papers). E. Ratzlaff is often cited by papers focused on Handwritten Text Recognition Techniques (6 papers), Speech Recognition and Synthesis (4 papers) and Algorithms and Data Compression (3 papers). E. Ratzlaff collaborates with scholars based in United States, Netherlands and South Korea. E. Ratzlaff's co-authors include Amiram Grinvald, Ralph M. Siegel, J. Subrahmonia, Ankur Teredesai, Venu Govindaraju, Craig Stunkel, Ralph Niels, Dong Chen, Yutaka Sugawara and Michael Perrone and has published in prestigious journals such as Journal of Neuroscience Methods, IEEE Micro and University of Groningen research database (University of Groningen / Centre for Information Technology).

In The Last Decade

E. Ratzlaff

10 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. Ratzlaff United States	6	175	136	69	49	48	11	321
Makoto Nishizaki Japan	5	261 1.5×	71 0.5×	36 0.5×	41 0.8×	39 0.8×	9	360
Kevin Mark United States	8	119 0.7×	63 0.5×	68 1.0×	76 1.6×	21 0.4×	12	345
Michael Negin United States	11	93 0.5×	58 0.4×	42 0.6×	39 0.8×	18 0.4×	13	306
Peter Šajda United States	10	378 2.2×	99 0.7×	85 1.2×	5 0.1×	27 0.6×	29	433
Andrzej W. Przybyszewski United States	12	248 1.4×	150 1.1×	21 0.3×	28 0.6×	20 0.4×	49	503
Frostig Rd Israel	4	458 2.6×	253 1.9×	18 0.3×	37 0.8×	8 0.2×	9	512
Wolf Zinke Germany	9	429 2.5×	129 0.9×	28 0.4×	45 0.9×	8 0.2×	14	505
Benjamin Lansdell United States	7	150 0.9×	68 0.5×	34 0.5×	10 0.2×	84 1.8×	11	293
Fengyi Wu China	11	62 0.4×	54 0.4×	31 0.4×	28 0.6×	39 0.8×	17	425
Kevin A. Archie United States	7	285 1.6×	149 1.1×	12 0.2×	62 1.3×	28 0.6×	10	353

Countries citing papers authored by E. Ratzlaff

Since Specialization

Citations

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

Fields of papers citing papers by E. Ratzlaff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Ratzlaff

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Sugawara, Yutaka, Dong Chen, R.A. Haring, et al.. (2022). Data Movement Accelerator Engines on a Prototype Power10 Processor. IEEE Micro. 43(1). 67–75. 5 indexed citations

2.

Cho, Sung-Jung, Michael Perrone, & E. Ratzlaff. (2004). Probability table compression for handwritten character recognition. 1. 173–177. 2 indexed citations

3.

Vuurpijl, L.G., Ralph Niels, Merijn van Erp, Lambert Schomaker, & E. Ratzlaff. (2004). Verifying the UNIPEN Devset. University of Groningen research database (University of Groningen / Centre for Information Technology). 586–591. 3 indexed citations

4.

Ratzlaff, E.. (2004). Methods, reports and survey for the comparison of diverse isolated character recognition results on the UNIPEN database. 1. 623–628. 38 indexed citations

5.

Ratzlaff, E.. (2004). INTER-LINE DISTANCE ESTIMATION AND TEXT LINE EXTRACTION FOR UNCONSTRAINED ONLINE HANDWRITING. Data Archiving and Networked Services (DANS). 16 indexed citations

6.

Teredesai, Ankur, Venu Govindaraju, E. Ratzlaff, & J. Subrahmonia. (2003). Recurrent genetic programming. vol.4. 5–5.

7.

Cho, Sung-Jung, Michael Perrone, & E. Ratzlaff. (2003). EM mixture model probability table compression. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 2. II–813. 2 indexed citations

8.

Teredesai, Ankur, E. Ratzlaff, J. Subrahmonia, & Venu Govindaraju. (2002). On-Line Digit Recognition Using Off-Line Features.. 6 indexed citations

9.

Ratzlaff, E.. (2002). A scanning n-tuple classifier for online recognition of handwritten digits. 31. 18–22. 11 indexed citations

10.

Ratzlaff, E. & Amiram Grinvald. (1991). A tandem-lens epifluorescence macroscope: Hundred-fold brightness advantage for wide-field imaging. Journal of Neuroscience Methods. 36(2-3). 127–137. 233 indexed citations

11.

Ratzlaff, E. & Ralph M. Siegel. (1990). A workstation interface for measuring interspike intervals. Journal of Neuroscience Methods. 35(3). 195–201. 5 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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