Raman Maini

86 total papers · 946 total citations
53 papers, 628 citations indexed

About

Raman Maini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Raman Maini has authored 53 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 9 papers in Industrial and Manufacturing Engineering. Recurrent topics in Raman Maini's work include Vehicle Routing Optimization Methods (8 papers), Handwritten Text Recognition Techniques (5 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Raman Maini is often cited by papers focused on Vehicle Routing Optimization Methods (8 papers), Handwritten Text Recognition Techniques (5 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Raman Maini collaborates with scholars based in India and United States. Raman Maini's co-authors include Himanshu Aggarwal, Rajeev K. Goel, Jagdip Singh Sohal, Ravneet Kaur, Sartajvir Singh, Reet Kamal Tiwari, Mandeep Singh, Lakhwinder Kaur, Rupinder Kaur and Harpreet Kaur and has published in prestigious journals such as Knowledge-Based Systems, Engineering Applications of Artificial Intelligence and Multimedia Tools and Applications.

In The Last Decade

Raman Maini

46 papers receiving 548 citations

Author Peers

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

Author						Papers	Cites
Raman Maini	263	144	137	129	56	53	628
Jie Yang	258 1.0×	89 0.6×	64 0.5×	93 0.7×	28 0.5×	57	618
Jianwu Dang	330 1.3×	140 1.0×	65 0.5×	89 0.7×	37 0.7×	90	704
Zheng Wang	289 1.1×	239 1.7×	92 0.7×	39 0.3×	27 0.5×	39	601
Lifang Chen	228 0.9×	112 0.8×	43 0.3×	69 0.5×	26 0.5×	49	605
Azizi Abdullah	280 1.1×	196 1.4×	65 0.5×	71 0.6×	25 0.4×	66	713
Bin Yang	452 1.7×	88 0.6×	30 0.2×	99 0.8×	50 0.9×	37	646
Jun Wu	330 1.3×	168 1.2×	31 0.2×	143 1.1×	31 0.6×	49	728
Yi Zhou	178 0.7×	173 1.2×	86 0.6×	43 0.3×	37 0.7×	62	696
Jiaxu Leng	450 1.7×	175 1.2×	44 0.3×	82 0.6×	23 0.4×	60	724
Chao Mi	86 0.3×	93 0.6×	171 1.2×	47 0.4×	24 0.4×	53	654

Countries citing papers authored by Raman Maini

Since Specialization

Citations

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

Fields of papers citing papers by Raman Maini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raman Maini

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