Benish Fida

436 total citations
12 papers, 323 citations indexed

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 12 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Biomedical Engineering and 4 papers in Surgery. Recurrent topics in Benish Fida's work include Surgical Simulation and Training (4 papers), Augmented Reality Applications (4 papers) and Context-Aware Activity Recognition Systems (4 papers). Benish Fida is often cited by papers focused on Surgical Simulation and Training (4 papers), Augmented Reality Applications (4 papers) and Context-Aware Activity Recognition Systems (4 papers). Benish Fida collaborates with scholars based in Italy, Pakistan and Czechia. Benish Fida's co-authors include Fabrizio Cutolo, Vincenzo Ferrari, Daniele Bibbo, Ivan Bernabucci, Maurizio Schmid, Silvia Conforto, Mauro Ferrari, Gregorio Di Franco, Antonino Proto and Muhammad Nazir and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Benish Fida

11 papers receiving 305 citations

Peers

Benish Fida

CVPR

BE

SURGE

AI

HI

Chin-Boon Chng Singapore

Chia-Yeh Hsieh Taiwan

George P. Moustris Greece

Ali I. Siam Egypt

Kabalan Chaccour France

Tauseef Gulrez Australia

Lingling Tao United States

Salvatore Livatino United Kingdom

Claudio Gaz Italy

Fred Dech United States

Chin-Boon Chng Singapore

Benish Fida

131 ×0.8

CVPR

140 ×1.1

BE

83 ×0.7

SURGE

52 ×1.2

AI

62 ×1.5

HI

Citations per year, relative to Benish Fida Benish Fida (= 1×) peers Chin-Boon Chng

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).

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.

Co-authorship network of co-authors of Benish Fida

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

All Works

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12 of 12 papers shown

1.

Iqbal, Muhammad, et al.. (2025). A Hybrid Deep Learning Framework for Early-Stage Alzheimer’s Disease Classification From Neuro-Imaging Biomarkers. IEEE Access. 13. 101662–101680.

2.

Rashid, Muhammad, Afia Zafar, Benish Fida, et al.. (2023). An efficient hybrid approach for optimization using simulated annealing and grasshopper algorithm for IoT applications. SHILAP Revista de lepidopterología. 3(1). 8 indexed citations

3.

Piazza, Roberta, Benish Fida, Marina Carbone, et al.. (2020). Towards a Wearable Augmented Reality Visor for High-Precision Manual Tasks. CINECA IRIS Institutial research information system (University of Pisa). 1–6. 4 indexed citations

4.

Condino, Sara, Benish Fida, Marina Carbone, et al.. (2020). Wearable Augmented Reality Platform for Aiding Complex 3D Trajectory Tracing. Sensors. 20(6). 1612–1612. 33 indexed citations

5.

Cutolo, Fabrizio, et al.. (2019). Software Framework for Customized Augmented Reality Headsets in Medicine. IEEE Access. 8. 706–720. 46 indexed citations

6.

Fida, Benish, Fabrizio Cutolo, Gregorio Di Franco, Mauro Ferrari, & Vincenzo Ferrari. (2018). Augmented reality in open surgery. Updates in Surgery. 70(3). 389–400. 83 indexed citations

7.

Proto, Antonino, Benish Fida, Ivan Bernabucci, et al.. (2016). Wearable PVDF transducer for biomechanical energy harvesting and gait cycle detection. Institutional Research Information System University of Ferrara (University of Ferrara). 62–66. 18 indexed citations

8.

Fida, Benish, Daniele Bibbo, Ivan Bernabucci, et al.. (2015). Real time event-based segmentation to classify locomotion activities through a single inertial sensor. SHILAP Revista de lepidopterología. 13 indexed citations

9.

Fida, Benish, Ivan Bernabucci, Daniele Bibbo, Silvia Conforto, & Maurizio Schmid. (2015). Pre-Processing Effect on the Accuracy of Event-Based Activity Segmentation and Classification through Inertial Sensors. Sensors. 15(9). 23095–23109. 20 indexed citations

10.

Fida, Benish, Ivan Bernabucci, Daniele Bibbo, Silvia Conforto, & Maurizio Schmid. (2015). Varying behavior of different window sizes on the classification of static and dynamic physical activities from a single accelerometer. Medical Engineering & Physics. 37(7). 705–711. 57 indexed citations

11.

Fida, Benish, Ivan Bernabucci, Daniele Bibbo, et al.. (2014). The Effect of Window Length on the Classification of Dynamic Activities through a Single Accelerometer. Institutional Research Information System University of Ferrara (University of Ferrara). 14 indexed citations

12.

Fida, Benish, et al.. (2011). Heart disease classification ensemble optimization using Genetic algorithm. Iris (Roma Tre University). 19–24. 27 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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