Manish Chowdhury

40 total papers · 870 total citations
26 papers, 614 citations indexed

About

Manish Chowdhury is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Spectroscopy. According to data from OpenAlex, Manish Chowdhury has authored 26 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 5 papers in Spectroscopy. Recurrent topics in Manish Chowdhury's work include Image Retrieval and Classification Techniques (12 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Advanced Image Fusion Techniques (6 papers). Manish Chowdhury is often cited by papers focused on Image Retrieval and Classification Techniques (12 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Advanced Image Fusion Techniques (6 papers). Manish Chowdhury collaborates with scholars based in India, United States and Sweden. Manish Chowdhury's co-authors include Malay K. Kundu, Sudeb Das, Lipi B. Mahanta, Kangkana Bora, Anup Kumar Das, Samuel Rota Bulò, Elima Hussain, Chandana Das, Anup Das and Matthew A. Oehlschlaeger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Sensors and Actuators B Chemical.

In The Last Decade

Manish Chowdhury

25 papers receiving 592 citations

Author Peers

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

Author						Papers	Cites
Manish Chowdhury	348	312	141	108	104	26	614
Sarmad Maqsood	304 0.9×	288 0.9×	209 1.5×	222 2.1×	45 0.4×	19	682
Meenakshi Sharma	245 0.7×	192 0.6×	211 1.5×	76 0.7×	41 0.4×	25	537
E. Montseny	482 1.4×	144 0.5×	367 2.6×	129 1.2×	28 0.3×	40	694
Ikram Ullah Lali	201 0.6×	298 1.0×	166 1.2×	160 1.5×	62 0.6×	12	569
Qingling Sun	322 0.9×	246 0.8×	56 0.4×	213 2.0×	22 0.2×	16	640
Shafqat Ali Shad	336 1.0×	272 0.9×	361 2.6×	153 1.4×	35 0.3×	17	639
Nadia Gul	259 0.7×	315 1.0×	359 2.5×	185 1.7×	38 0.4×	13	666
Annapurna Singh	402 1.2×	276 0.9×	54 0.4×	153 1.4×	17 0.2×	34	588
Jainy Sachdeva	406 1.2×	161 0.5×	386 2.7×	124 1.1×	9 0.1×	19	590
Alireza Norouzi	366 1.1×	172 0.6×	63 0.4×	145 1.3×	10 0.1×	14	639

Countries citing papers authored by Manish Chowdhury

Since Specialization

Citations

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

Fields of papers citing papers by Manish Chowdhury

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Chowdhury

This figure shows the co-authorship network connecting the top 25 collaborators of Manish Chowdhury. A scholar is included among the top collaborators of Manish Chowdhury 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 Manish Chowdhury. Manish Chowdhury 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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