Deep Kothadiya

516 total citations
13 papers, 223 citations indexed

About

Deep Kothadiya is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Deep Kothadiya has authored 13 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Human-Computer Interaction. Recurrent topics in Deep Kothadiya's work include Hand Gesture Recognition Systems (4 papers), Human Pose and Action Recognition (2 papers) and COVID-19 diagnosis using AI (2 papers). Deep Kothadiya is often cited by papers focused on Hand Gesture Recognition Systems (4 papers), Human Pose and Action Recognition (2 papers) and COVID-19 diagnosis using AI (2 papers). Deep Kothadiya collaborates with scholars based in India, Saudi Arabia and Romania. Deep Kothadiya's co-authors include Chintan Bhatt, Juan M. Corchado, Ana Belén Gil González, Amjad Rehman, Tanzila Saba, Saeed Ali Bahaj, Faten S. Alamri, Felix Albu, Alessandro Bruno and Sidra Abbas and has published in prestigious journals such as IEEE Access, Computer and Microscopy Research and Technique.

In The Last Decade

Deep Kothadiya

9 papers receiving 201 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Deep Kothadiya India 7 159 104 75 75 29 13 223
A Lijiya India 8 157 1.0× 108 1.0× 73 1.0× 104 1.4× 33 1.1× 22 262
Walaa Aly Egypt 7 220 1.4× 142 1.4× 116 1.5× 157 2.1× 47 1.6× 11 324
Ibrahim Adeyanju Nigeria 8 97 0.6× 61 0.6× 48 0.6× 59 0.8× 59 2.0× 39 254
Ilias Papastratis Greece 7 272 1.7× 184 1.8× 112 1.5× 118 1.6× 37 1.3× 7 364
Sakshi Sharma India 7 196 1.2× 112 1.1× 95 1.3× 93 1.2× 31 1.1× 26 266
Abu Sayeed Bangladesh 9 75 0.5× 29 0.3× 41 0.5× 114 1.5× 57 2.0× 35 258
Benjia Zhou China 8 114 0.7× 29 0.3× 91 1.2× 172 2.3× 37 1.3× 12 253
Subarna Tripathi United States 10 96 0.6× 47 0.5× 35 0.5× 234 3.1× 75 2.6× 21 310
Shengeng Tang China 7 100 0.6× 71 0.7× 47 0.6× 122 1.6× 36 1.2× 21 203
G. Anantha Rao India 7 274 1.7× 164 1.6× 136 1.8× 123 1.6× 36 1.2× 7 326

Countries citing papers authored by Deep Kothadiya

Since Specialization
Citations

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

Fields of papers citing papers by Deep Kothadiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deep Kothadiya

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

All Works

13 of 13 papers shown
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Kothadiya, Deep, et al.. (2025). DeViTC: Deep-Vision Transformer to Recognize Originality of Currency. Computer. 58(5). 48–56.
4.
Kothadiya, Deep, et al.. (2024). Hybrid InceptionNet Based Enhanced Architecture for Isolated Sign Language Recognition. IEEE Access. 12. 90889–90899. 6 indexed citations
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Kothadiya, Deep, et al.. (2023). Enhancing Fingerprint Liveness Detection Accuracy Using Deep Learning: A Comprehensive Study and Novel Approach. Journal of Imaging. 9(8). 158–158. 12 indexed citations
7.
Kothadiya, Deep, Chintan Bhatt, Tanzila Saba, Amjad Rehman, & Saeed Ali Bahaj. (2023). SIGNFORMER: DeepVision Transformer for Sign Language Recognition. IEEE Access. 11. 4730–4739. 49 indexed citations
8.
Kothadiya, Deep, Chintan Bhatt, Amjad Rehman, Faten S. Alamri, & Tanzila Saba. (2023). SignExplainer: An Explainable AI-Enabled Framework for Sign Language Recognition With Ensemble Learning. IEEE Access. 11. 47410–47419. 22 indexed citations
9.
Kothadiya, Deep, et al.. (2023). COVID-19 detection on chest x-ray image using yolo based architecture. 27–30. 1 indexed citations
10.
Kothadiya, Deep, Amjad Rehman, Sidra Abbas, Faten S. Alamri, & Tanzila Saba. (2023). Attention-based deep learning framework to recognize diabetes disease from cellular retinal images. Biochemistry and Cell Biology. 101(6). 550–561. 9 indexed citations
11.
Kothadiya, Deep, et al.. (2022). Deepsign: Sign Language Detection and Recognition Using Deep Learning. Electronics. 11(11). 1780–1780. 110 indexed citations
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Kothadiya, Deep, et al.. (2020). Different Methods Review for Speech to Text and Text to Speech Conversion. International Journal of Computer Applications. 175(20). 9–12. 4 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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