Anima Pramanik

31 total papers · 925 total citations
16 papers, 522 citations indexed

About

Anima Pramanik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Anima Pramanik has authored 16 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Anima Pramanik's work include Video Surveillance and Tracking Methods (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Rough Sets and Fuzzy Logic (3 papers). Anima Pramanik is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Rough Sets and Fuzzy Logic (3 papers). Anima Pramanik collaborates with scholars based in India, United Kingdom and Netherlands. Anima Pramanik's co-authors include J. Maiti, Pabitra Mitra, Sankar K. Pal, Sobhan Sarkar, Genserik Reniers, Harshvardhan, Chawki Djeddi, Sudip K. Sarker, Phalguni Gupta and Indranil Bose and has published in prestigious journals such as Information Sciences, IEEE Transactions on Intelligent Transportation Systems and Accident Analysis & Prevention.

In The Last Decade

Anima Pramanik

14 papers receiving 505 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Anima Pramanik	258	121	69	60	51	16	522
Louahdi Khoudour	289 1.1×	95 0.8×	35 0.5×	27 0.5×	34 0.7×	43	504
Dai Quoc Tran	138 0.5×	42 0.3×	140 2.0×	54 0.9×	9 0.2×	22	480
Tianhua Xu	62 0.2×	91 0.8×	43 0.6×	28 0.5×	35 0.7×	21	462
Seungho Lee	208 0.8×	103 0.9×	17 0.2×	14 0.2×	17 0.3×	25	475
Xu Li	44 0.2×	94 0.8×	54 0.8×	28 0.5×	28 0.5×	31	481
Khandakar M. Rashid	90 0.3×	91 0.8×	23 0.3×	143 2.4×	20 0.4×	17	546
Jieun Baek	41 0.2×	57 0.5×	25 0.4×	54 0.9×	14 0.3×	39	463
Xiaoping Ma	68 0.3×	32 0.3×	18 0.3×	22 0.4×	31 0.6×	50	468
Huimin Zhao	81 0.3×	122 1.0×	36 0.5×	9 0.1×	12 0.2×	26	539
Tanzina Afrin	54 0.2×	38 0.3×	37 0.5×	14 0.2×	34 0.7×	13	548

Countries citing papers authored by Anima Pramanik

Since Specialization

Citations

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

Fields of papers citing papers by Anima Pramanik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anima Pramanik

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

All Works

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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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