Neda Rohani

805 total citations
24 papers, 480 citations indexed

About

Neda Rohani is a scholar working on Artificial Intelligence, Media Technology and Archeology. According to data from OpenAlex, Neda Rohani has authored 24 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Media Technology and 6 papers in Archeology. Recurrent topics in Neda Rohani's work include Remote-Sensing Image Classification (8 papers), Cultural Heritage Materials Analysis (5 papers) and Advanced Image Fusion Techniques (3 papers). Neda Rohani is often cited by papers focused on Remote-Sensing Image Classification (8 papers), Cultural Heritage Materials Analysis (5 papers) and Advanced Image Fusion Techniques (3 papers). Neda Rohani collaborates with scholars based in United States, Iran and United Kingdom. Neda Rohani's co-authors include Aggelos K. Katsaggelos, Sara Bahaadini, J. R. Smith, Émeline Pouyet, V. Kalogera, Oliver Cossairt, M. Zevin, S. B. Coughlin, Sarah Allen and Carsten Østerlund and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Computers in Human Behavior.

In The Last Decade

Neda Rohani

24 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neda Rohani United States 12 234 116 91 70 68 24 480
Sara Bahaadini United States 9 232 1.0× 144 1.2× 91 1.0× 8 0.1× 16 0.2× 14 458
Lukas Mandrake United States 12 225 1.0× 82 0.7× 57 0.6× 2 0.0× 86 1.3× 40 486
Emilio Matricciani Italy 19 70 0.3× 92 0.8× 6 0.1× 46 0.7× 93 1.4× 127 1.3k
Daniel Tamayo United States 18 1.1k 4.7× 29 0.3× 28 0.3× 12 0.2× 7 0.1× 46 1.2k
J. H. Seiradakis Greece 14 598 2.6× 27 0.2× 19 0.2× 108 1.5× 65 749
Pablo Ruiz United States 9 21 0.1× 125 1.1× 11 0.1× 4 0.1× 73 1.1× 29 328
Peter S. Gural United States 14 694 3.0× 33 0.3× 12 0.1× 10 0.1× 5 0.1× 69 785
John Gruninger United States 10 34 0.1× 74 0.6× 2 0.0× 8 0.1× 194 2.9× 53 439
Robert S. Wolff United States 10 383 1.6× 14 0.1× 28 0.3× 5 0.1× 9 0.1× 30 492
Mark M. Baumback United States 12 302 1.3× 42 0.4× 76 0.8× 1 0.0× 156 2.3× 31 511

Countries citing papers authored by Neda Rohani

Since Specialization
Citations

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

Fields of papers citing papers by Neda Rohani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neda Rohani

This figure shows the co-authorship network connecting the top 25 collaborators of Neda Rohani. A scholar is included among the top collaborators of Neda Rohani 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 Neda Rohani. Neda Rohani 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.
Lucas, Alice, Tucker Tomlinson, Neda Rohani, et al.. (2019). Neural Networks for Modeling Neural Spiking in S1 Cortex. Frontiers in Systems Neuroscience. 13. 13–13. 9 indexed citations
2.
Jackson, Corey, Carsten Østerlund, Kevin Crowston, et al.. (2019). Teaching citizen scientists to categorize glitches using machine learning guided training. Computers in Human Behavior. 105. 106198–106198. 11 indexed citations
3.
Rohani, Neda, et al.. (2019). Direct Estimation of Weights and Efficient Training of Deep Neural Networks without SGD. 3361. 3232–3236. 1 indexed citations
4.
Rohani, Neda, Émeline Pouyet, Marc Walton, Oliver Cossairt, & Aggelos K. Katsaggelos. (2019). Pigment Unmixing of Hyperspectral Images of Paintings Using Deep Neural Networks. 3217–3221. 13 indexed citations
5.
Coughlin, S. B., Sara Bahaadini, Neda Rohani, et al.. (2019). Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning. Physical review. D. 99(8). 26 indexed citations
6.
Crowston, Kevin, Carsten Østerlund, Tae Kyoung Lee, et al.. (2019). Knowledge Tracing to Model Learning in Online Citizen Science Projects. IEEE Transactions on Learning Technologies. 13(1). 123–134. 15 indexed citations
7.
Rohani, Neda, Émeline Pouyet, Marc Walton, Oliver Cossairt, & Aggelos K. Katsaggelos. (2018). Nonlinear Unmixing of Hyperspectral Datasets for the Study of Painted Works of Art. Angewandte Chemie. 130(34). 11076–11080. 22 indexed citations
8.
Rohani, Neda, Pablo Ruiz, Rafael Molina, & Aggelos K. Katsaggelos. (2018). Variational Gaussian process for multisensor classification problems. Pattern Recognition Letters. 116. 80–87. 2 indexed citations
9.
Pouyet, Émeline, Neda Rohani, Aggelos K. Katsaggelos, Oliver Cossairt, & Marc K. Walton. (2018). Innovative data reduction and visualization strategy for hyperspectral imaging datasets using t-SNE approach. Pure and Applied Chemistry. 90(3). 493–506. 40 indexed citations
10.
Zevin, M., Scott Coughlin, Sara Bahaadini, et al.. (2017). Gravity Spy: integrating advanced LIGO detector characterization, machine learning, and citizen science. Classical and Quantum Gravity. 34(6). 64003–64003. 185 indexed citations
11.
Stork, David G., Neda Rohani, & Aggelos K. Katsaggelos. (2017). Matrix sparsification and non-negative factorization for task partitioning in computational sensing and imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10222. 102220P–102220P. 2 indexed citations
12.
Rohani, Neda. (2017). Strange Animals and Creatures in Islamic Miniatures: Focusing on Miniatures of the Conference of the Birds. SHILAP Revista de lepidopterología. 6(4). 112–112. 1 indexed citations
13.
Bahaadini, Sara, Neda Rohani, S. B. Coughlin, et al.. (2017). Deep multi-view models for glitch classification. 2931–2935. 23 indexed citations
14.
Rohani, Neda, Pablo Ruiz, Emre Besler, Rafael Molina, & Aggelos K. Katsaggelos. (2015). Variational Gaussian process for sensor fusion. 16. 170–174. 3 indexed citations
15.
Rohani, Neda & M. Parente. (2013). Endmember Detection in CRISM Images Using Graphs. LPI. 2894. 1 indexed citations
16.
Rohani, Neda, et al.. (2013). Endmember detection using graph theory. 3753. 1462–1465. 2 indexed citations
17.
Rohani, Neda & M. Parente. (2013). Graph-based identification of boundary points for unmixing and anomaly detection. 6565. 1–4. 7 indexed citations
18.
Rohani, Neda, et al.. (2011). Guess and Determine Attack on Bivium. Journal of Information Processing Systems. 7(1). 151–158. 1 indexed citations
19.
Rohani, Neda, et al.. (2010). Distinguishing Attack on Bivium. 1075–1078. 2 indexed citations
20.
Rohani, Neda, et al.. (2010). Guess and Determine Attack on Trivium Family. 5921. 785–790. 3 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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