Devraj Mandal

39 total papers · 736 total citations
20 papers, 500 citations indexed

About

Devraj Mandal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Devraj Mandal has authored 20 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Devraj Mandal's work include Advanced Image and Video Retrieval Techniques (8 papers), Multimodal Machine Learning Applications (6 papers) and Image Retrieval and Classification Techniques (5 papers). Devraj Mandal is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Multimodal Machine Learning Applications (6 papers) and Image Retrieval and Classification Techniques (5 papers). Devraj Mandal collaborates with scholars based in India, Germany and Iran. Devraj Mandal's co-authors include Soma Biswas, Kunal N. Chaudhury, Provas Kumar Roy, Sanath Narayan, Amitava Chatterjee, Madhubanti Maitra, Ling Shao, Fahad Shahbaz Khan, Vikram Gupta and Miguel García‐Guzmán and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition Letters and Engineering Applications of Artificial Intelligence.

In The Last Decade

Devraj Mandal

20 papers receiving 478 citations

Author Peers

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

Author						Papers	Cites
Devraj Mandal	346	191	55	36	26	20	500
Miao Sun	271 0.8×	118 0.6×	53 1.0×	17 0.5×	31 1.2×	12	519
Chenjie Cao	254 0.7×	179 0.9×	54 1.0×	23 0.6×	32 1.2×	22	453
Giovani Chiachia	259 0.7×	131 0.7×	72 1.3×	28 0.8×	34 1.3×	18	513
Yan‐Ming Zhang	387 1.1×	264 1.4×	35 0.6×	40 1.1×	83 3.2×	31	598
Peiqi Chai	346 1.0×	115 0.6×	22 0.4×	25 0.7×	29 1.1×	17	509
Lei Li	312 0.9×	276 1.4×	23 0.4×	19 0.5×	49 1.9×	27	519
Haojie Lin	219 0.6×	212 1.1×	21 0.4×	15 0.4×	16 0.6×	20	471
Se Hyun Park	275 0.8×	119 0.6×	30 0.5×	26 0.7×	85 3.3×	29	457
Shizhe Hu	366 1.1×	319 1.7×	28 0.5×	14 0.4×	56 2.2×	35	602
Naresh Babu Bynagari	288 0.8×	136 0.7×	18 0.3×	16 0.4×	32 1.2×	14	485

Countries citing papers authored by Devraj Mandal

Since Specialization

Citations

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

Fields of papers citing papers by Devraj Mandal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devraj Mandal

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