Deepak Babu Sam

2.0k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Deepak Babu Sam is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Deepak Babu Sam has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in Safety, Risk, Reliability and Quality. Recurrent topics in Deepak Babu Sam's work include Anomaly Detection Techniques and Applications (7 papers), Video Surveillance and Tracking Methods (7 papers) and Human Pose and Action Recognition (3 papers). Deepak Babu Sam is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Video Surveillance and Tracking Methods (7 papers) and Human Pose and Action Recognition (3 papers). Deepak Babu Sam collaborates with scholars based in India. Deepak Babu Sam's co-authors include R. Venkatesh Babu, Shiv Surya, Mukundhan Srinivasan, Skand Vishwanath Peri and Venkatesh Babu Radhakrishnan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Deepak Babu Sam

7 papers receiving 1.1k 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.

Switching Convolutional Neural Network for Crowd Counting

2017 640 citations Deepak Babu Sam, Shiv Surya et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepak Babu Sam India	6	1.1k	873	287	155	94	8	1.2k
Haroon Idrees United States	10	1.3k 1.2×	899 1.0×	186 0.6×	98 0.6×	70 0.7×	12	1.4k
Shiv Surya India	5	601 0.6×	486 0.6×	164 0.6×	88 0.6×	52 0.6×	11	686
Zehao Xiao China	5	405 0.4×	305 0.3×	103 0.4×	64 0.4×	36 0.4×	9	456
Qingyu Song China	8	401 0.4×	247 0.3×	65 0.2×	52 0.3×	42 0.4×	13	531
Zhengkai Jiang China	8	563 0.5×	358 0.4×	47 0.2×	22 0.1×	33 0.4×	20	747
Zheng Ma China	11	510 0.5×	235 0.3×	54 0.2×	27 0.2×	21 0.2×	32	600
Dingkang Liang China	8	286 0.3×	201 0.2×	53 0.2×	30 0.2×	39 0.4×	45	405
Sheng‐Fuu Lin Taiwan	8	283 0.3×	190 0.2×	37 0.1×	22 0.1×	33 0.4×	36	422
Norbert Brändle Austria	12	170 0.2×	91 0.1×	92 0.3×	235 1.5×	161 1.7×	31	534
Tao Zhao United States	9	879 0.8×	289 0.3×	45 0.2×	12 0.1×	109 1.2×	14	967

Countries citing papers authored by Deepak Babu Sam

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Babu Sam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepak Babu Sam. 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 Deepak Babu Sam. The network helps show where Deepak Babu Sam may publish in the future.

Co-authorship network of co-authors of Deepak Babu Sam

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Babu Sam. A scholar is included among the top collaborators of Deepak Babu Sam 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 Deepak Babu Sam. Deepak Babu Sam 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:

8 of 8 papers shown

1.

Sam, Deepak Babu, et al.. (2020). Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(8). 1–1. 154 indexed citations

2.

Sam, Deepak Babu, et al.. (2020). Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds. 2853–2861. 5 indexed citations

3.

Sam, Deepak Babu, et al.. (2019). Almost Unsupervised Learning for Dense Crowd Counting. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8868–8875. 64 indexed citations

4.

Sam, Deepak Babu, et al.. (2019). Crafting Data-free Universal Adversaries with Dilate Loss.

5.

Sam, Deepak Babu & R. Venkatesh Babu. (2018). Top-Down Feedback for Crowd Counting Convolutional Neural Network. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 91 indexed citations

6.

Sam, Deepak Babu, et al.. (2018). Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN. 3618–3626. 169 indexed citations

7.

Sam, Deepak Babu & R. Venkatesh Babu. (2018). Top-Down Feedback for Crowd Counting Convolutional Neural Network. arXiv (Cornell University). 7323–7330. 40 indexed citations

8.

Sam, Deepak Babu, Shiv Surya, & R. Venkatesh Babu. (2017). Switching Convolutional Neural Network for Crowd Counting. 4031–4039. 640 indexed citations breakdown →

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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