Tacha Şerif

64 total papers · 417 total citations
29 papers, 255 citations indexed

About

Tacha Şerif is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Tacha Şerif has authored 29 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Tacha Şerif's work include Indoor and Outdoor Localization Technologies (7 papers), Context-Aware Activity Recognition Systems (3 papers) and Musculoskeletal pain and rehabilitation (3 papers). Tacha Şerif is often cited by papers focused on Indoor and Outdoor Localization Technologies (7 papers), Context-Aware Activity Recognition Systems (3 papers) and Musculoskeletal pain and rehabilitation (3 papers). Tacha Şerif collaborates with scholars based in United Kingdom, Türkiye and Norway. Tacha Şerif's co-authors include Gheorghiță Ghinea, Stephen R. Gulliver, Andrew Frank, Sezer Gören, Christian Larsen, Simon J. E. Taylor, Tor‐Morten Grønli, Uğur Şaylı, Lampros Stergioulas and Dionysis Goularas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and International Journal of Human-Computer Studies.

In The Last Decade

Tacha Şerif

28 papers receiving 244 citations

Author Peers

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

Author Last Decade Papers Cites
Tacha Şerif 100 67 47 41 39 29 255
Artur Pereira 25 0.3× 30 0.4× 78 1.7× 4 0.1× 15 0.4× 45 247
Elsa M. Macías 136 1.4× 163 2.4× 51 1.1× 17 0.4× 29 0.7× 46 301
Haotian Jiang 72 0.7× 85 1.3× 51 1.1× 9 0.2× 2 0.1× 35 332
Hung-Huan Liu 138 1.4× 116 1.7× 47 1.0× 36 0.9× 52 1.3× 22 277
Alberto Belmonte-Hernández 103 1.0× 47 0.7× 75 1.6× 76 1.9× 28 0.7× 23 296
Erwin Aitenbichler 84 0.8× 95 1.4× 107 2.3× 28 0.7× 29 0.7× 33 292
Faizan Ur Rehman 13 0.1× 23 0.3× 62 1.3× 41 1.0× 47 1.2× 34 321
Jihoon Ryoo 167 1.7× 96 1.4× 113 2.4× 32 0.8× 23 0.6× 33 309
Geetika Aggarwal 64 0.6× 62 0.9× 84 1.8× 9 0.2× 11 0.3× 36 266
Michel Deriaz 97 1.0× 58 0.9× 76 1.6× 16 0.4× 30 0.8× 35 240

Countries citing papers authored by Tacha Şerif

Since Specialization
Citations

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

Fields of papers citing papers by Tacha Şerif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tacha Şerif

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