Roman Sandler

27 total papers · 455 total citations
18 papers, 296 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 296 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), Advanced Image and Video Retrieval Techniques (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Roman Sandler is often cited by papers focused on Neural dynamics and brain function (7 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Neuroscience and Neuropharmacology Research (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, Dong Song, Theodore W. Berger, Yehuda Koren, Yoelle Maarek, Edo Liberty and Samuel A. Deadwyler 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 284 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Roman Sandler 114 72 49 45 30 18 296
David J. Anderson 123 1.1× 86 1.2× 42 0.9× 49 1.1× 24 0.8× 21 362
Ting‐Li Chen 85 0.7× 60 0.8× 57 1.2× 25 0.6× 26 0.9× 41 277
Luis E. Falcón-Morales 83 0.7× 101 1.4× 69 1.4× 32 0.7× 14 0.5× 16 359
Gal Mishne 69 0.6× 86 1.2× 82 1.7× 27 0.6× 23 0.8× 34 353
Yingle Fan 155 1.4× 91 1.3× 137 2.8× 13 0.3× 33 1.1× 46 364
Xiaohui Xie 54 0.5× 121 1.7× 104 2.1× 53 1.2× 4 0.1× 12 352
John Choi 74 0.6× 86 1.2× 141 2.9× 34 0.8× 9 0.3× 15 352
Firdaus Janoos 99 0.9× 41 0.6× 110 2.2× 14 0.3× 16 0.5× 32 351
Guangyu Wang 94 0.8× 54 0.8× 29 0.6× 25 0.6× 12 0.4× 32 228
Farzana Kulsoom 93 0.8× 47 0.7× 101 2.1× 10 0.2× 14 0.5× 25 311

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

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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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