Suraj Maharjan

52 total papers · 1.4k total citations
33 papers, 852 citations indexed

About

Suraj Maharjan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Suraj Maharjan has authored 33 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Surgery. Recurrent topics in Suraj Maharjan's work include Natural Language Processing Techniques (10 papers), Topic Modeling (6 papers) and Handwritten Text Recognition Techniques (5 papers). Suraj Maharjan is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (6 papers) and Handwritten Text Recognition Techniques (5 papers). Suraj Maharjan collaborates with scholars based in United States, China and Mexico. Suraj Maharjan's co-authors include Thamar Solorio, Laijin Lu, Shoujun Zhu, Xiaohuan Zhao, Nan Zhou, Yubin Song, Bai Yang, Junhu Zhang, Lei Wang and Hai‐Yu Wang and has published in prestigious journals such as PLoS ONE, Chemical Communications and Nanoscale.

In The Last Decade

Suraj Maharjan

31 papers receiving 819 citations

Author Peers

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

Author Last Decade Papers Cites
Suraj Maharjan 421 268 107 84 54 33 852
Jimin Huang 120 0.3× 146 0.5× 124 1.2× 64 0.8× 176 3.3× 60 1.0k
Walter Chang 93 0.2× 297 1.1× 214 2.0× 160 1.9× 35 0.6× 44 1.0k
Sam Lau 200 0.5× 52 0.2× 116 1.1× 202 2.4× 38 0.7× 32 829
Kamal Sarkar 75 0.2× 296 1.1× 257 2.4× 62 0.7× 129 2.4× 65 1.0k
Chao Shi 202 0.5× 113 0.4× 464 4.3× 94 1.1× 25 0.5× 41 834
Hong Zhang 122 0.3× 151 0.6× 66 0.6× 112 1.3× 274 5.1× 63 791
Xuanzhe Liu 29 0.1× 107 0.4× 190 1.8× 122 1.5× 107 2.0× 28 857
Hyeseon Lee 59 0.1× 28 0.1× 68 0.6× 67 0.8× 26 0.5× 38 731
Farzana Kabir Ahmad 108 0.3× 147 0.5× 69 0.6× 62 0.7× 184 3.4× 81 790
Yuankai Zhang 49 0.1× 202 0.8× 88 0.8× 141 1.7× 32 0.6× 48 716

Countries citing papers authored by Suraj Maharjan

Since Specialization
Citations

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

Fields of papers citing papers by Suraj Maharjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suraj Maharjan

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