Miriam Cha

741 total citations
18 papers, 435 citations indexed

About

Miriam Cha is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Signal Processing. According to data from OpenAlex, Miriam Cha has authored 18 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 3 papers in Signal Processing. Recurrent topics in Miriam Cha's work include Synthetic Aperture Radar (SAR) Applications and Techniques (6 papers), Advanced SAR Imaging Techniques (5 papers) and Remote-Sensing Image Classification (3 papers). Miriam Cha is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (6 papers), Advanced SAR Imaging Techniques (5 papers) and Remote-Sensing Image Classification (3 papers). Miriam Cha collaborates with scholars based in United States, United Kingdom and Netherlands. Miriam Cha's co-authors include Youngjune Gwon, H. T. Kung, James R. Williamson, Elizabeth Godoy, Pooya Khorrami, Thomas F. Quatieri, Charlie K. Dagli, Marios Savvides, Patrick J. Wolfe and Arjun Majumdar and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, The Journal of Trauma: Injury, Infection, and Critical Care and Digital Access to Scholarship at Harvard (DASH) (Harvard University).

In The Last Decade

Miriam Cha

18 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miriam Cha United States	8	147	116	108	91	82	18	435
José M. Leiva-Murillo Spain	10	64 0.4×	31 0.3×	97 0.9×	34 0.4×	47 0.6×	19	384
Karan Sikka United States	13	576 3.9×	359 3.1×	212 2.0×	80 0.9×	32 0.4×	29	856
Ali Komaty France	6	65 0.4×	106 0.9×	77 0.7×	84 0.9×	49 0.6×	10	397
Manuel F. Fernández United States	12	99 0.7×	9 0.1×	85 0.8×	46 0.5×	95 1.2×	47	449
Zilu Ying China	11	284 1.9×	166 1.4×	53 0.5×	43 0.5×	11 0.1×	46	413
Zhihua Liu China	10	448 3.0×	18 0.2×	117 1.1×	10 0.1×	32 0.4×	22	631
Vinit Jakhetiya India	15	327 2.2×	17 0.1×	62 0.6×	26 0.3×	11 0.1×	53	492
V. Ramu Reddy India	10	41 0.3×	65 0.6×	138 1.3×	136 1.5×	14 0.2×	22	277
Mohammed Abdelwahab United States	11	97 0.7×	322 2.8×	252 2.3×	264 2.9×	37 0.5×	18	527

Countries citing papers authored by Miriam Cha

Since Specialization

Citations

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

Fields of papers citing papers by Miriam Cha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Cha

This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Cha. A scholar is included among the top collaborators of Miriam Cha 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 Miriam Cha. Miriam Cha 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:

18 of 18 papers shown

Moyer, Daniel, Miriam Cha, Seth J. Berkowitz, et al.. (2021). Multimodal Representation Learning via Maximization of Local Mutual Information. arXiv (Cornell University). 14 indexed citations

Nederpelt, Charlie J., Ava K. Mokhtari, Osaid Alser, et al.. (2021). Development of a field artificial intelligence triage tool: Confidence in the prediction of shock, transfusion, and definitive surgical therapy in patients with truncal gunshot wounds. The Journal of Trauma: Injury, Infection, and Critical Care. 90(6). 1054–1060. 28 indexed citations

Cabrera, Armando, et al.. (2021). SAR-to-EO Image Translation with Multi-Conditional Adversarial Networks. 2021 55th Asilomar Conference on Signals, Systems, and Computers. 1710–1714. 4 indexed citations

Cha, Miriam, Youngjune Gwon, & H. T. Kung. (2021). Twitter Geolocation and Regional Classification via Sparse Coding. Proceedings of the International AAAI Conference on Web and Social Media. 9(1). 582–585. 4 indexed citations

Cha, Miriam, Youngjune Gwon, & H. T. Kung. (2019). Adversarial Learning of Semantic Relevance in Text to Image Synthesis. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3272–3279. 37 indexed citations

Cha, Miriam, et al.. (2018). Improving Sar Automatic Target Recognition Using Simulated Images Under Deep Residual Refinements. 40 indexed citations

Cha, Miriam, Youngjune Gwon, & H. T. Kung. (2017). Language Modeling by Clustering with Word Embeddings for Text Readability Assessment. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 2003–2006. 16 indexed citations

Williamson, James R., Elizabeth Godoy, Miriam Cha, et al.. (2016). Detecting Depression using Vocal, Facial and Semantic Communication Cues. 11–18. 146 indexed citations

Cha, Miriam, et al.. (2016). Lambda means clustering: Automatic parameter search and distributed computing implementation. 11. 2331–2337. 5 indexed citations

10.

Gwon, Youngjune, Miriam Cha, & H. T. Kung. (2016). Deep Sparse-coded Network (DSN). Digital Access to Scholarship at Harvard (DASH) (Harvard University). 11. 2610–2615. 7 indexed citations

11.

Cha, Miriam, Youngjune Gwon, & H. T. Kung. (2015). Geolocation with Subsampled Microblog Social Media. 891–894. 1 indexed citations

12.

Cha, Miriam, et al.. (2015). Two-Stage Change Detection for Synthetic Aperture Radar. IEEE Transactions on Geoscience and Remote Sensing. 53(12). 6547–6560. 28 indexed citations

13.

Cha, Miriam, et al.. (2014). Joint SAR image compression and coherent change detection. 7337. 13–16. 1 indexed citations

14.

Cha, Miriam, et al.. (2014). Combined intensity and coherent change detection for synthetic aperture radar. 8120–8123. 5 indexed citations

15.

Cha, Miriam, et al.. (2012). Test statistics for synthetic aperture radar coherent change detection. 7699. 856–859. 6 indexed citations

16.

Cha, Miriam, et al.. (2012). Automatic track tracing in SAR CCD images using search cues. 6947. 1825–1829. 3 indexed citations

17.

Cha, Miriam, et al.. (2011). Finding curves in SAR CCD images. 6947. 2024–2027. 5 indexed citations

18.

Cha, Miriam, et al.. (2010). Robust local binary pattern feature sets for periocular biometric identification. 1–8. 85 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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