Roman Sandler

457 total citations
18 papers, 297 citations indexed

About

Roman Sandler is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience. According to data from OpenAlex, Roman Sandler has authored 18 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Roman Sandler's work include Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Roman Sandler is often cited by papers focused on Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Roman Sandler collaborates with scholars based in United States, Israel and United Kingdom. Roman Sandler's co-authors include Michael Lindenbaum, Vasilis Z. Marmarelis, Robert E. Hampson, Sam A. Deadwyler, Theodore W. Berger, Dong Song, Yehuda Koren, Edo Liberty, Yoelle Maarek and Mordechai Kornbluth and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and PLoS Computational Biology.

In The Last Decade

Roman Sandler

18 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roman Sandler United States 11 114 72 49 45 30 18 297
Ting‐Li Chen Taiwan 10 85 0.7× 61 0.8× 58 1.2× 25 0.6× 27 0.9× 41 286
Yingle Fan China 10 155 1.4× 91 1.3× 137 2.8× 13 0.3× 33 1.1× 48 364
Salem Said France 8 76 0.7× 243 3.4× 83 1.7× 76 1.7× 31 1.0× 21 433
C. Gielen Netherlands 9 63 0.6× 130 1.8× 145 3.0× 32 0.7× 13 0.4× 16 388
Firdaus Janoos United States 12 99 0.9× 41 0.6× 110 2.2× 14 0.3× 16 0.5× 32 351
John Choi United States 7 75 0.7× 86 1.2× 141 2.9× 34 0.8× 9 0.3× 15 356
Mikael Vejdemo‐Johansson United States 8 114 1.0× 43 0.6× 39 0.8× 16 0.4× 9 0.3× 29 559
Min Jiang China 11 122 1.1× 23 0.3× 66 1.3× 12 0.3× 14 0.5× 56 331
Ana Rita Teixeira Portugal 9 57 0.5× 128 1.8× 38 0.8× 14 0.3× 15 0.5× 46 299
Steffen Oeltze‐Jafra Germany 12 113 1.0× 29 0.4× 62 1.3× 22 0.5× 3 0.1× 39 402

Countries citing papers authored by Roman Sandler

Since Specialization
Citations

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

Fields of papers citing papers by Roman Sandler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Sandler

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

All Works

18 of 18 papers shown
1.
Wessler, Benjamin S., et al.. (2023). Automated Detection of Aortic Stenosis Using Machine Learning. Journal of the American Society of Echocardiography. 36(4). 411–420. 16 indexed citations
2.
Sandler, Roman, Dong Song, Robert E. Hampson, et al.. (2018). Designing Patient-Specific Optimal Neurostimulation Patterns for Seizure Suppression. Neural Computation. 30(5). 1180–1208. 11 indexed citations
3.
Sandler, Roman, et al.. (2017). Cannabinoids disrupt memory encoding by functionally isolating hippocampal CA1 from CA3. PLoS Computational Biology. 13(7). e1005624–e1005624. 7 indexed citations
4.
Sandler, Roman, Dong Song, Robert E. Hampson, et al.. (2015). Hippocampal closed-loop modeling and implications for seizure stimulation design. Journal of Neural Engineering. 12(5). 56017–56017. 11 indexed citations
5.
Kraft, Robert, Roman Sandler, Ioan Opriş, et al.. (2015). Distinguishing cognitive state with multifractal complexity of hippocampal interspike interval sequences. Frontiers in Systems Neuroscience. 9. 130–130. 10 indexed citations
6.
Sandler, Roman & Vasilis Z. Marmarelis. (2015). Understanding spike-triggered covariance using Wiener theory for receptive field identification. Journal of Vision. 15(9). 16–16. 14 indexed citations
7.
Sandler, Roman, Dong Song, Robert E. Hampson, et al.. (2014). Model-based asessment of an in-vivo predictive relationship from CA1 to CA3 in the rodent hippocampus. Journal of Computational Neuroscience. 38(1). 89–103. 14 indexed citations
8.
Sandler, Roman, Samuel A. Deadwyler, Robert E. Hampson, et al.. (2014). System identification of point-process neural systems using Probability Based Volterra kernels. Journal of Neuroscience Methods. 240. 179–192. 10 indexed citations
9.
Sandler, Roman, Dong Song, Robert E. Hampson, et al.. (2014). Probability-based nonlinear modeling of neural dynamical systems with point-process inputs and outputs. BMC Neuroscience. 15(S1). 1 indexed citations
10.
Sandler, Roman, Dongkyu Shin, Dong Song, et al.. (2013). Closed-loop modeling of the hippocampus and design of neurostimulation patterns for suppressing seizures. 1723. 1143–1146. 4 indexed citations
11.
Bortnikov, Edward, et al.. (2012). Lightweight automatic face annotation in media pages. 939–948. 2 indexed citations
12.
Koren, Yehuda, Edo Liberty, Yoelle Maarek, & Roman Sandler. (2011). Automatically tagging email by leveraging other users' folders. 913–921. 25 indexed citations
13.
Sandler, Roman & Michael Lindenbaum. (2011). Nonnegative Matrix Factorization with Earth Mover's Distance Metric for Image Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(8). 1590–1602. 103 indexed citations
14.
Fort, Hugo, et al.. (2010). Negentropy Generation and Fractality in the Dry Friction of Polished Surfaces. Entropy. 12(3). 480–489. 12 indexed citations
15.
Sandler, Roman & Michael Lindenbaum. (2009). Nonnegative Matrix Factorization with Earth Mover's Distance metric. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 1873–1880. 20 indexed citations
16.
Sandler, Roman & Michael Lindenbaum. (2009). Optimizing Gabor Filter Design for Texture Edge Detection and Classification. International Journal of Computer Vision. 84(3). 308–324. 13 indexed citations
17.
Sandler, Roman & Michael Lindenbaum. (2008). Unsupervised estimation of segmentation quality using nonnegative factorization. 13. 1–8. 2 indexed citations
18.
Sandler, Roman & Michael Lindenbaum. (2006). Gabor Filter Analysis for Texture Segmentation. 178–178. 22 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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