Stefan A. Robila

805 total citations
72 papers, 498 citations indexed

About

Stefan A. Robila is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Stefan A. Robila has authored 72 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Media Technology, 18 papers in Computer Vision and Pattern Recognition and 16 papers in Analytical Chemistry. Recurrent topics in Stefan A. Robila's work include Remote-Sensing Image Classification (34 papers), Spectroscopy and Chemometric Analyses (16 papers) and Blind Source Separation Techniques (10 papers). Stefan A. Robila is often cited by papers focused on Remote-Sensing Image Classification (34 papers), Spectroscopy and Chemometric Analyses (16 papers) and Blind Source Separation Techniques (10 papers). Stefan A. Robila collaborates with scholars based in United States, Netherlands and China. Stefan A. Robila's co-authors include Pramod K. Varshney, Anatole Gershman, Aparna S. Varde, Mihaela Robila, Manoj K. Arora, Anand Ranganathan, Jing Peng, Danlin Yu, Dajin Wang and Salman Siddiqui and has published in prestigious journals such as International Journal of Remote Sensing, IEEE Geoscience and Remote Sensing Letters and ACM SIGMOD Record.

In The Last Decade

Stefan A. Robila

58 papers receiving 463 citations

Peers

Stefan A. Robila
Sonajharia Minz India
Suju Rajan United States
Han Jiang China
Shailender Kumar India
Muhammad Attique Khan Saudi Arabia
Xueying Zhang China
Driss Mammass Morocco
Zhanguo Wei China
Long Ma China
Sonajharia Minz India
Stefan A. Robila
Citations per year, relative to Stefan A. Robila Stefan A. Robila (= 1×) peers Sonajharia Minz

Countries citing papers authored by Stefan A. Robila

Since Specialization
Citations

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

Fields of papers citing papers by Stefan A. Robila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan A. Robila

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan A. Robila. A scholar is included among the top collaborators of Stefan A. Robila 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 Stefan A. Robila. Stefan A. Robila 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
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Marlowe, Thomas J., et al.. (2024). Board 326: K-12 Teachers and Data Science: Learning Interdiscplinary Science Through Research Experiences. Papers on Engineering Education Repository (American Society for Engineering Education).
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Robila, Stefan A., et al.. (2023). An extended reality environment for urban area environmental data analysis. 23–23. 2 indexed citations
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Anu, Vaibhav, et al.. (2022). Professional and Capacity Building in K-12 Computer Science Education. 1384–1384. 1 indexed citations
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Varde, Aparna S., et al.. (2015). The Greening of Data Centers with Cloud Technology. International Journal of Cloud Applications and Computing. 5(4). 1–23. 11 indexed citations
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Varde, Aparna S., et al.. (2013). Decision Support in Data Centers for Sustainability. 613–620. 8 indexed citations
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Robila, Stefan A.. (2012). A Sustainability Component for a First-Year Course for Information Technology Students. 1. 90–94. 3 indexed citations
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Varde, Aparna S., et al.. (2010). A feature-based approach for processing nanoscale images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7729. 772911–772911. 3 indexed citations
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Robila, Stefan A., et al.. (2008). Mobile instructional laboratory environments and their use in computing sciences. Journal of computing sciences in colleges. 23(3). 114–118. 1 indexed citations
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Robila, Stefan A., et al.. (2008). Hyperspectral image processing: a direct image simplification method. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6966. 69661Y–69661Y.
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Robila, Stefan A., et al.. (2008). Considerations on Parallelizing Nonnegative Matrix Factorization for Hyperspectral Data Unmixing. IEEE Geoscience and Remote Sensing Letters. 6(1). 57–61. 17 indexed citations
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Robila, Stefan A., et al.. (2006). NEW APPROACHES FOR FEATURE EXTRACTION IN HYPERSPECTRAL IMAGERY. 1–7. 3 indexed citations
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Robila, Stefan A. & Anatole Gershman. (2006). Spectral matching accuracy in processing hyperspectral data. 1. 163–166. 49 indexed citations
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Robila, Stefan A., Amruth N. Kumar, Doug Baldwin, & Clare Bates Congdon. (2005). Considerations on undergraduate computer science research. Journal of computing sciences in colleges. 20(5). 91–95. 2 indexed citations
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Robila, Stefan A., et al.. (2005). Undergraduate research: students' rewards and challenges. Journal of computing sciences in colleges. 21(2). 166–171.
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Robila, Stefan A. & Pramod K. Varshney. (2003). A fast source separation algorithm for hyperspectral image processing. 6. 3516–3518. 13 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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