Shraman Pramanick

623 total citations
11 papers, 179 citations indexed

About

Shraman Pramanick is a scholar working on Artificial Intelligence, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shraman Pramanick has authored 11 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Social Psychology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shraman Pramanick's work include Sentiment Analysis and Opinion Mining (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Misinformation and Its Impacts (3 papers). Shraman Pramanick is often cited by papers focused on Sentiment Analysis and Opinion Mining (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Misinformation and Its Impacts (3 papers). Shraman Pramanick collaborates with scholars based in India, United States and Singapore. Shraman Pramanick's co-authors include Md Shad Akhtar, Tanmoy Chakraborty, Shivam Sharma, Preslav Nakov, Dimitar Dimitrov, Pengchuan Zhang, Kevin Qinghong Lin, Mike Zheng Shou, Rui Yan and Difei Gao and has published in prestigious journals such as Biomedical Signal Processing and Control, arXiv (Cornell University) and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Shraman Pramanick

10 papers receiving 173 citations

Peers

Countries citing papers authored by Shraman Pramanick

Since Specialization

Citations

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

Fields of papers citing papers by Shraman Pramanick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shraman Pramanick

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model 2024 ·Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi	3
2	SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers 2024 ·Rama Chellappa, Shraman Pramanick, (unknown)	1
3	Autonomous grasping of 3-D objects by a vision-actuated robot arm using Brain–Computer Interface 2023 ·Biomedical Signal Processing and Control ·(unknown), Shraman Pramanick, (unknown), Saugat Bhattacharyya	6
4	UniVTG: Towards Unified Video-Language Temporal Grounding 2023 ·Kevin Qinghong Lin, Pengchuan Zhang, (unknown), Shraman Pramanick, Difei Gao, (unknown), Rui Yan, Mike Zheng Shou	32
5	EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone 2023 ·Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang	25
6	Multimodal Learning using Optimal Transport for Sarcasm and Humor Detection 2022 ·2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) ·Shraman Pramanick, (unknown), (unknown)	40
7	Detecting Harmful Memes and Their Targets 2021 ·Shraman Pramanick, Dimitar Dimitrov, (unknown), Shivam Sharma, Md Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty	58
8	Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis 2021 ·arXiv (Cornell University) ·Shraman Pramanick, Md Shad Akhtar, Tanmoy Chakraborty	2
9	Exercise? I thought you said 'Extra Fries’: Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis 2021 ·Proceedings of the International AAAI Conference on Web and Social Media ·Shraman Pramanick, Md Shad Akhtar, Tanmoy Chakraborty	11
10	Decoding of Brain Signals to Detect Perceived Color-Stimuli using Convolutional Neural Network 2019 ·(unknown), (unknown), (unknown), Shraman Pramanick, Amit Konar	1
11	Automatic Detection of Confidence Level of Examinees in Answering Multiple Choice Questions using P1000 Brain Signal 2019 ·(unknown), Shraman Pramanick, (unknown), Amit Konar	0

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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