Harshith Goka

941 citations
2 papers · 506 indexed · 1 hit paper · h-index 2
Topics
Image and Object Detection Techniques (1 paper)Generative Adversarial Networks and Image Synthesis (1 paper)Advanced Vision and Imaging (1 paper)
Journals
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

In The Last Decade

Harshith Goka

2 papers receiving 487 citations

Hit Papers

Resolution-robust Large Mask Inpainting with Fourier Conv...20222026202320242022100200300400500

Peers

Harshith Goka
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 402
  • Computer Graphics and Computer-Aided Design 93
  • Media Technology 57
  • Computational Mechanics 45
  • Artificial Intelligence 45
Replace Yingchen Yu with:
Yingchen Yu Singapore
Naejin Kong South Korea
Tianfan Xue Hong Kong
Hiroyuki Kubo Japan
Jiemin Fang China
Iro Laina United Kingdom
Tao Hu China
Zhentao Tan China
Harshith Goka relative to Yingchen Yu Singapore Yingchen Yu's profile →
Citations per field
00.5×1.5×1.8×
Yingchen Yu · 1×
Citations per year

Countries citing papers authored by Harshith Goka

Since Specialization
Citations

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

Fields of papers citing papers by Harshith Goka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harshith Goka

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

All Works

2 of 2 papers shown
#WorkIndexed citations
1 3
2
Resolution-robust Large Mask Inpainting with Fourier Convolutionsbreakdown →
503

About Harshith Goka

Harshith Goka is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Civil and Structural Engineering, having authored 2 papers that have together received 506 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (93 citations), Computer Vision and Pattern Recognition (402 citations) and Media Technology (57 citations). Harshith Goka has collaborated with scholars based in United States, Switzerland and Russia. Frequent co-authors include Naejin Kong, Elizaveta Logacheva, Roman Suvorov, Victor Lempitsky and Arsenii Ashukha. Their work appears in journals such as 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

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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