Subhankar Ghosh

72 total papers · 906 total citations
25 papers, 459 citations indexed

About

Subhankar Ghosh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Subhankar Ghosh has authored 25 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 4 papers in Human-Computer Interaction. Recurrent topics in Subhankar Ghosh's work include Speech Recognition and Synthesis (7 papers), Handwritten Text Recognition Techniques (5 papers) and Natural Language Processing Techniques (5 papers). Subhankar Ghosh is often cited by papers focused on Speech Recognition and Synthesis (7 papers), Handwritten Text Recognition Techniques (5 papers) and Natural Language Processing Techniques (5 papers). Subhankar Ghosh collaborates with scholars based in India, United States and Australia. Subhankar Ghosh's co-authors include Himadri Mukherjee, Kaushik Roy, KC Santosh, Sk Md Obaidullah, Ankita Dhar, Umapada Pal, Yogesh Sankarasubramaniam, Krishnan Ramanathan, Tong Lü and Palaiahnakote Shivakumara and has published in prestigious journals such as Pattern Recognition, Neural Computing and Applications and Information Processing & Management.

In The Last Decade

Subhankar Ghosh

19 papers receiving 441 citations

Author Peers

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

Author						Papers	Cites
Subhankar Ghosh	257	202	115	40	38	25	459
Shibaprasad Sen	254 1.0×	166 0.8×	173 1.5×	14 0.3×	24 0.6×	28	499
Mohammed Meknassi	302 1.2×	158 0.8×	85 0.7×	34 0.8×	25 0.7×	21	467
Bayan Alabduallah	134 0.5×	77 0.4×	135 1.2×	18 0.5×	5 0.1×	25	444
Sovon Chakraborty	206 0.8×	140 0.7×	55 0.5×	7 0.2×	13 0.3×	24	436
Faisal Abdulaziz Alfouzan	81 0.3×	80 0.4×	50 0.4×	14 0.3×	31 0.8×	19	445
Woong-Kee Loh	217 0.8×	90 0.4×	107 0.9×	24 0.6×	10 0.3×	46	534
Deepti Saraswat	172 0.7×	41 0.2×	52 0.5×	78 1.9×	33 0.9×	16	503
Vipul Narayan	102 0.4×	73 0.4×	72 0.6×	18 0.5×	5 0.1×	22	438
Inzamam Mashood Nasir	176 0.7×	92 0.5×	158 1.4×	13 0.3×	8 0.2×	26	460
Saturnino Vicente-Díaz	152 0.6×	186 0.9×	117 1.0×	22 0.6×	14 0.4×	20	424

Countries citing papers authored by Subhankar Ghosh

Since Specialization

Citations

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

Fields of papers citing papers by Subhankar Ghosh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhankar Ghosh

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