Ramtin Shams

22 total papers · 1.4k total citations
19 papers, 981 citations indexed

About

Ramtin Shams is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Ramtin Shams has authored 19 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Ramtin Shams's work include Medical Image Segmentation Techniques (9 papers), Robotics and Sensor-Based Localization (6 papers) and Wireless Communication Security Techniques (2 papers). Ramtin Shams is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Robotics and Sensor-Based Localization (6 papers) and Wireless Communication Security Techniques (2 papers). Ramtin Shams collaborates with scholars based in Australia, Germany and United States. Ramtin Shams's co-authors include Parastoo Sadeghi, Rodney A. Kennedy, Predrag Rapajic, Richard Hartley, Nassir Navab, Oliver Kutter, Nick Barnes, Danail Traskov, Christian Wachinger and Jagadeesan Jayender and has published in prestigious journals such as IEEE Signal Processing Magazine, Endoscopy and Computer Methods and Programs in Biomedicine.

In The Last Decade

Ramtin Shams

19 papers receiving 939 citations

Hit Papers

Finite-state Markov model... 2008 2026 2014 2020 2008 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Ramtin Shams 382 367 331 194 107 19 981
Thomas Fevens 144 0.4× 282 0.8× 370 1.1× 196 1.0× 70 0.7× 69 898
Xin Wang 149 0.4× 278 0.8× 255 0.8× 226 1.2× 64 0.6× 50 944
Saeed Sadri 252 0.7× 107 0.3× 254 0.8× 235 1.2× 95 0.9× 53 864
Wei Deng 216 0.6× 146 0.4× 231 0.7× 49 0.3× 142 1.3× 38 1.2k
Dietmar Kunz 330 0.9× 334 0.9× 118 0.4× 235 1.2× 39 0.4× 30 830
Hao Fang 161 0.4× 484 1.3× 378 1.1× 34 0.2× 32 0.3× 55 1.0k
Kyung‐Yong Chwa 227 0.6× 525 1.4× 406 1.2× 46 0.2× 30 0.3× 55 1.1k
Hao He 289 0.8× 185 0.5× 328 1.0× 16 0.1× 225 2.1× 29 1.2k
Tian Pu 151 0.4× 83 0.2× 249 0.8× 75 0.4× 37 0.3× 52 807
H. Rehbinder 91 0.2× 95 0.3× 136 0.4× 192 1.0× 135 1.3× 31 1.1k

Countries citing papers authored by Ramtin Shams

Since Specialization
Citations

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

Fields of papers citing papers by Ramtin Shams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramtin Shams

This figure shows the co-authorship network connecting the top 25 collaborators of Ramtin Shams. A scholar is included among the top collaborators of Ramtin Shams 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 Ramtin Shams. Ramtin Shams 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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