Sarah A. Rajala

727 total citations
72 papers, 453 citations indexed

About

Sarah A. Rajala is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Architecture. According to data from OpenAlex, Sarah A. Rajala has authored 72 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 25 papers in Media Technology and 15 papers in Architecture. Recurrent topics in Sarah A. Rajala's work include Advanced Data Compression Techniques (22 papers), Advanced Vision and Imaging (16 papers) and Engineering Education and Pedagogy (15 papers). Sarah A. Rajala is often cited by papers focused on Advanced Data Compression Techniques (22 papers), Advanced Vision and Imaging (16 papers) and Engineering Education and Pedagogy (15 papers). Sarah A. Rajala collaborates with scholars based in United States, France and Singapore. Sarah A. Rajala's co-authors include James L. Melsa, R.E. Van Dyck, Peter Santago, Wesley E. Snyder, P. R. Moran, Craig A. Hamilton, Kai‐Kuang Ma, A.M. Alattar, Alfy Riddle and Ikhlas Abdel‐Qader and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Circuits and Systems for Video Technology and Journal of Magnetic Resonance Imaging.

In The Last Decade

Sarah A. Rajala

62 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah A. Rajala United States 10 189 149 81 47 45 72 453
Jiann-Shu Lee Taiwan 10 278 1.5× 49 0.3× 8 0.1× 33 0.7× 30 0.7× 35 385
Hafizah Husain Malaysia 9 53 0.3× 26 0.2× 48 0.6× 4 0.1× 17 0.4× 57 264
Imtiaz Ahmad Taj Pakistan 13 299 1.6× 22 0.1× 14 0.2× 46 1.0× 150 3.3× 64 520
Zhenming Yuan China 11 52 0.3× 21 0.1× 22 0.3× 43 0.9× 25 0.6× 49 381
Andrés Fuster-Guilló Spain 14 169 0.9× 34 0.2× 94 1.2× 6 0.1× 6 0.1× 45 490
Matej Perše Slovenia 9 232 1.2× 74 0.5× 17 0.2× 3 0.1× 34 0.8× 15 388
A.D. Andreeva Russia 5 499 2.6× 44 0.3× 8 0.1× 6 0.1× 52 1.2× 15 676
Macario O. Cordel Philippines 8 112 0.6× 31 0.2× 39 0.5× 7 0.1× 10 0.2× 26 269
Darren Dancey United Kingdom 9 79 0.4× 34 0.2× 22 0.3× 23 0.5× 4 0.1× 19 491
Proadpran Punyabukkana Thailand 9 33 0.2× 17 0.1× 22 0.3× 11 0.2× 69 1.5× 78 296

Countries citing papers authored by Sarah A. Rajala

Since Specialization
Citations

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

Fields of papers citing papers by Sarah A. Rajala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah A. Rajala. 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 Sarah A. Rajala. The network helps show where Sarah A. Rajala may publish in the future.

Co-authorship network of co-authors of Sarah A. Rajala

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah A. Rajala. A scholar is included among the top collaborators of Sarah A. Rajala 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 Sarah A. Rajala. Sarah A. Rajala 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.
Felder, Richard M., et al.. (2023). Designing Better Engineering Education Through Assessment. 1 indexed citations
2.
Melsa, James L., et al.. (2009). Creating a Culture for Scholarly and Systematic Innovation in Engineering Education. Journal of Engineering Education. 98(3). 209–209. 97 indexed citations
3.
Rajala, Sarah A., et al.. (2007). An Integrated Living and Learning Community for First and Second Year Undergraduate Women in Science & Engineering.
4.
Fuller, Hugh, et al.. (2006). College of Engineering Attitude About Engineering Survey, Fall 1995: Study of Matriculants and Non-Matriculants by Gender. 1 indexed citations
5.
Dyck, R.E. Van & Sarah A. Rajala. (2005). Design Of Quantizers For Alternative Color Spaces. 39. 7.4–7.4.
6.
Alattar, A.M. & Sarah A. Rajala. (2003). Primitive-based teleconference image coding technique. International Conference on Acoustics, Speech, and Signal Processing. 1933–1936.
7.
Bottomley, Laura, et al.. (2003). Longitudinal assessment of a freshman engineering orientation course. 1. 12A1/12–12A1/12.
8.
Brawner, Catherine E., et al.. (2002). Partnerships Increase Access to Engineering Education: North Carolina's Two+Two Experience. T.H.E. Journal Technological Horizons in Education. 30(3). 30. 4 indexed citations
9.
Ma, Kai-Kuang & Sarah A. Rajala. (2002). Generalized optimum dynamic bit allocation scheme for source compression. 2. 864–868. 3 indexed citations
10.
Hamilton, Craig A., P. R. Moran, Peter Santago, & Sarah A. Rajala. (1994). Effects of intravoxel velocity distributions on the accuracy of the phase‐mapping method in phase‐contrast MR angiography. Journal of Magnetic Resonance Imaging. 4(5). 752–755. 47 indexed citations
11.
Rajala, Sarah A.. (1994). <title>Impact of human visual perception of color on very low bit-rate image coding</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2308. 39–46. 2 indexed citations
12.
Dyck, R.E. Van & Sarah A. Rajala. (1994). Subband/VQ coding of color images with perceptually optimal bit allocation. IEEE Transactions on Circuits and Systems for Video Technology. 4(1). 68–82, 101. 22 indexed citations
13.
Rajala, Sarah A., et al.. (1993). Interpolation of Color Data. Color and Imaging Conference. 1(1). 180–183. 3 indexed citations
14.
Abdel‐Qader, Ikhlas, Sarah A. Rajala, & W.E. Snyder. (1993). Motion estimation from noisy image data. IEEE International Conference on Acoustics Speech and Signal Processing. 209–212 vol.5. 5 indexed citations
15.
Rajala, Sarah A., et al.. (1992). <title>Segmentation-based motion estimation and residual coding for packet video: a goal-oriented approach</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1818. 825–836. 3 indexed citations
16.
Dyck, R.E. Van & Sarah A. Rajala. (1992). Subband/VQ coding in perceptually uniform color spaces. 17. 237–240 vol.3. 8 indexed citations
17.
Rajala, Sarah A., et al.. (1991). Segmentation and hvs-based image coding with motion compensation for packet-switched network environments. 1 indexed citations
18.
Rajala, Sarah A., et al.. (1988). Segmentation-Based Image Coding In A Packet-Switched Network Environment. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1001. 1006–1006. 1 indexed citations
19.
Snyder, Wesley E., et al.. (1983). <title>Turbine Blade Image Processing System</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 397. 261–267. 1 indexed citations
20.
Rajala, Sarah A.. (1980). Adaptive nonlinear image restoration by a modified Kalman filtering approach. Rice Digital Scholarship Archive (Rice University). 4 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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