Benish Fida

7 papers and 208 indexed citations i.

About

Benish Fida is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Surgery. According to data from OpenAlex, Benish Fida has authored 7 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Biomedical Engineering and 4 papers in Surgery. Recurrent topics in Benish Fida’s work include Augmented Reality Applications (4 papers), Surgical Simulation and Training (4 papers) and Anatomy and Medical Technology (3 papers). Benish Fida is often cited by papers focused on Augmented Reality Applications (4 papers), Surgical Simulation and Training (4 papers) and Anatomy and Medical Technology (3 papers). Benish Fida collaborates with scholars based in Italy. Benish Fida's co-authors include Vincenzo Ferrari, Fabrizio Cutolo, Mauro Ferrari, Maurizio Schmid, Daniele Bibbo, Silvia Conforto, Gregorio Di Franco, Ivan Bernabucci, Sara Condino and Marina Carbone and has published in prestigious journals such as Sensors, IEEE Access and Medical Engineering & Physics.

In The Last Decade

Co-authorship network of co-authors of Benish Fida i

Fields of papers citing papers by Benish Fida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Benish Fida

Since Specialization
Citations

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

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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2025