Viresh Ranjan

764 total citations
10 papers, 221 citations indexed

About

Viresh Ranjan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Viresh Ranjan has authored 10 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 1 paper in Signal Processing. Recurrent topics in Viresh Ranjan's work include Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Video Surveillance and Tracking Methods (3 papers). Viresh Ranjan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Video Surveillance and Tracking Methods (3 papers). Viresh Ranjan collaborates with scholars based in India, United States and Vietnam. Viresh Ranjan's co-authors include C. V. Jawahar, Nikhil Rasiwasia, Minh Hoai, Jingyi Xu, Dimitris Samaras, Hieu Lê, Vu Nguyen, Gaurav Harit, Yifeng Huang and Suryakanth V. Gangashetty and has published in prestigious journals such as Journal of Imaging, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Viresh Ranjan

10 papers receiving 214 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Viresh Ranjan India	4	206	91	14	12	5	10	221
Vijay Kumar B G United States	4	155 0.8×	97 1.1×	12 0.9×	18 1.5×	7 1.4×	4	197
Changtao Miao China	6	230 1.1×	79 0.9×	13 0.9×	32 2.7×	2 0.4×	12	249
Vighnesh Birodkar United States	4	141 0.7×	60 0.7×	8 0.6×	14 1.2×	6 1.2×	4	168
Ruotian Luo United States	5	252 1.2×	160 1.8×	6 0.4×	5 0.4×	7 1.4×	6	274
Oksana Yakhnenko United States	7	94 0.5×	77 0.8×	14 1.0×	18 1.5×	4 0.8×	8	152
Michael Grubinger Australia	2	264 1.3×	107 1.2×	11 0.8×	5 0.4×	3 0.6×	2	273
Paola Cascante-Bonilla United States	6	95 0.5×	109 1.2×	8 0.6×	4 0.3×	3 0.6×	8	157
Amjad Almahairi United States	6	85 0.4×	80 0.9×	6 0.4×	9 0.8×	2 0.4×	10	135
Yipeng Sun China	6	168 0.8×	45 0.5×	43 3.1×	19 1.6×	2 0.4×	17	193
Jonas Geiping United States	4	85 0.4×	54 0.6×	6 0.4×	14 1.2×	3 0.6×	16	148

Countries citing papers authored by Viresh Ranjan

Since Specialization

Citations

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

Fields of papers citing papers by Viresh Ranjan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viresh Ranjan

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

All Works

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10 of 10 papers shown

1.

Xu, Jingyi, Hieu Lê, Vu Nguyen, Viresh Ranjan, & Dimitris Samaras. (2023). Zero-Shot Object Counting. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 15548–15557. 24 indexed citations

2.

Huang, Yifeng, Viresh Ranjan, & Minh Hoai. (2023). Interactive Class-Agnostic Object Counting. 22255–22265. 3 indexed citations

3.

Ranjan, Viresh & Minh Hoai. (2022). Vicinal Counting Networks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4220–4229. 7 indexed citations

4.

Ranjan, Viresh, et al.. (2018). Efficient Query Specific DTW Distance for Document Retrieval with Unlimited Vocabulary. Journal of Imaging. 4(2). 37–37. 2 indexed citations

5.

Ranjan, Viresh, Nikhil Rasiwasia, & C. V. Jawahar. (2015). Multi-label Cross-Modal Retrieval. 4094–4102. 171 indexed citations

6.

Ranjan, Viresh, Gaurav Harit, & C. V. Jawahar. (2015). Document Retrieval with Unlimited Vocabulary. 741–748. 7 indexed citations

7.

Ranjan, Viresh, Gaurav Harit, & C. V. Jawahar. (2015). Domain adaptation by aligning locality preserving subspaces. 1–6. 3 indexed citations

8.

Ranjan, Viresh, Gaurav Harit, & C. V. Jawahar. (2014). Enhancing Word Image Retrieval in Presence of Font Variations. 2709–2714. 2 indexed citations

9.

Ranjan, Shivesh, Viresh Ranjan, Chetana Prakash, & Suryakanth V. Gangashetty. (2012). Text Independent Speaker Identification Using Bessel Features. International Journal of Computer and Electrical Engineering. 715–717. 1 indexed citations

10.

Mishra, Anand, et al.. (2012). Automatic localization and correction of line segmentation errors. 1–8. 1 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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