Ullas Gargi

2.1k total citations · 1 hit paper
24 papers, 1.3k citations indexed

About

Ullas Gargi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Ullas Gargi has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 4 papers in Sociology and Political Science. Recurrent topics in Ullas Gargi's work include Video Analysis and Summarization (15 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Image Retrieval and Classification Techniques (7 papers). Ullas Gargi is often cited by papers focused on Video Analysis and Summarization (15 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Image Retrieval and Classification Techniques (7 papers). Ullas Gargi collaborates with scholars based in United States. Ullas Gargi's co-authors include Rangachar Kasturi, M.L. Lambert, James Davidson, Junning Liu, Palash Nandy, Yu He, Sameer Antani, Hao Tang, Vivek Kwatra and Mehmet Emre Sargin and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Proceedings of the International AAAI Conference on Web and Social Media and Medical Entomology and Zoology.

In The Last Decade

Ullas Gargi

23 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The YouTube video recommendation system

2010 736 citations James Davidson, Junning Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ullas Gargi United States	10	742	493	317	308	200	24	1.3k
Òscar Celma Spain	15	498 0.7×	503 1.0×	354 1.1×	512 1.7×	99 0.5×	43	1.1k
Larry Stead United States	9	282 0.4×	613 1.2×	302 1.0×	136 0.4×	191 1.0×	10	988
Alex Tuzhilin United States	4	317 0.4×	676 1.4×	247 0.8×	148 0.5×	99 0.5×	9	871
Vanessa Murdock United States	25	402 0.5×	846 1.7×	733 2.3×	358 1.2×	146 0.7×	69	1.8k
Chumki Basu United States	8	228 0.3×	621 1.3×	304 1.0×	126 0.4×	94 0.5×	22	807
Kirsten Swearingen United States	9	445 0.6×	962 2.0×	708 2.2×	189 0.6×	274 1.4×	11	1.7k
Mehdi Elahi Italy	17	416 0.6×	731 1.5×	401 1.3×	92 0.3×	144 0.7×	58	1.2k
Jon Herlocker United States	7	381 0.5×	1.1k 2.2×	382 1.2×	149 0.5×	209 1.0×	11	1.3k
Dhruv Gupta Germany	8	300 0.4×	765 1.6×	404 1.3×	142 0.5×	115 0.6×	27	1.1k
Brian Amento United States	15	202 0.3×	541 1.1×	319 1.0×	130 0.4×	158 0.8×	24	1.0k

Countries citing papers authored by Ullas Gargi

Since Specialization

Citations

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

Fields of papers citing papers by Ullas Gargi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ullas Gargi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Gargi, Ullas, et al.. (2021). Large-Scale Community Detection on YouTube for Topic Discovery and Exploration. Proceedings of the International AAAI Conference on Web and Social Media. 5(1). 486–489. 6 indexed citations

2.

Kong, Nicholas, et al.. (2020). Semantically meaningful attributes from co-listen embeddings for playlist exploration and expansion. Zenodo (CERN European Organization for Nuclear Research). 527–533. 1 indexed citations

3.

Tang, Hao, Vivek Kwatra, Mehmet Emre Sargin, & Ullas Gargi. (2011). Detecting highlights in sports videos: Cricket as a test case. 1–6. 40 indexed citations

4.

Gargi, Ullas & Rich Gossweiler. (2010). QuickSuggest: Character Prediction for Improved Text Entry on Web Appliances. 1 indexed citations

5.

Gargi, Ullas & Rich Gossweiler. (2010). QuickSuggest. 1249–1252. 3 indexed citations

6.

Davidson, James, Junning Liu, Palash Nandy, et al.. (2010). The YouTube video recommendation system. 293–296. 736 indexed citations breakdown →

7.

Gargi, Ullas & Jay Yagnik. (2008). Solving the label resolution problem in supervised video content classification. 276–282. 7 indexed citations

8.

Kasturi, Rangachar, et al.. (2007). An Evaluation of Color Histogram Based Methods in Video Indexing. 5 indexed citations

9.

Gargi, Ullas, et al.. (2005). Event-based multimedia chronicling systems. 1–12. 6 indexed citations

10.

Gargi, Ullas. (2005). Information navigation profiles for mediation and adaptation. 2003. 515–520 Vol. 2. 2 indexed citations

11.

Harville, M., et al.. (2005). Mediabeads: an architecture for path-enhanced media applications. 455–458. 1 indexed citations

12.

Gargi, Ullas. (2003). Modeling and clustering of photo capture streams. 47–47. 12 indexed citations

13.

Gargi, Ullas, Rangachar Kasturi, & Sameer Antani. (2002). Performance characterization and comparison of video indexing algorithms. 559–565. 21 indexed citations

14.

Gargi, Ullas, Sameer Antani, & Rangachar Kasturi. (2002). Indexing text events in digital video databases. 1. 916–918. 27 indexed citations

15.

Gargi, Ullas, et al.. (2000). Performance characterization of video-shot-change detection methods. IEEE Transactions on Circuits and Systems for Video Technology. 10(1). 1–13. 290 indexed citations

16.

Gargi, Ullas. (2000). Performance characterization of video-shot-change detection. Medical Entomology and Zoology. 4 indexed citations

17.

Gargi, Ullas, et al.. (1999). Multimodal browsing of images in Web documents. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3651. 122–122. 15 indexed citations

18.

Gargi, Ullas, et al.. (1999). A system for automatic text detection in video. 29–32. 26 indexed citations

19.

Gargi, Ullas, et al.. (1995). Evaluation of video sequence indexing and hierarchical video indexing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2420. 144–144. 29 indexed citations

20.

Devadiga, Sadashiva, et al.. (1995). Semiautomatic video database system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2420. 262–262. 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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