G. Gopakumar

53 total papers · 572 total citations
32 papers, 284 citations indexed

About

G. Gopakumar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, G. Gopakumar has authored 32 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 9 papers in Artificial Intelligence. Recurrent topics in G. Gopakumar's work include Cell Image Analysis Techniques (8 papers), Image Processing Techniques and Applications (7 papers) and Digital Imaging for Blood Diseases (6 papers). G. Gopakumar is often cited by papers focused on Cell Image Analysis Techniques (8 papers), Image Processing Techniques and Applications (7 papers) and Digital Imaging for Blood Diseases (6 papers). G. Gopakumar collaborates with scholars based in India and China. G. Gopakumar's co-authors include Rama Krishna Gorthi, Sai Siva Gorthi, Prema Nedungadi, Deepak Mishra, Ziyang Chen, T. Ramkumar, S. Parthasarathy, R. V. Vinu, P. Gayathri and Jixiong Pu and has published in prestigious journals such as Expert Systems with Applications, Journal of the Optical Society of America A and Journal of Microscopy.

In The Last Decade

G. Gopakumar

26 papers receiving 272 citations

Author Peers

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

Author						Papers	Cites
G. Gopakumar	154	77	57	50	46	32	284
Gloria M. Díaz	213 1.4×	104 1.4×	58 1.0×	59 1.2×	49 1.1×	35	331
Priyadarshini Adyasha Pattanaik	148 1.0×	89 1.2×	21 0.4×	84 1.7×	31 0.7×	20	276
Khamael Al-Dulaimi	205 1.3×	150 1.9×	71 1.2×	59 1.2×	72 1.6×	22	327
Salam Shuleenda Devi	183 1.2×	50 0.6×	22 0.4×	34 0.7×	74 1.6×	21	241
B. Rajesh Kanna	195 1.3×	49 0.6×	39 0.7×	50 1.0×	50 1.1×	20	237
Mostafa El Habib Daho	64 0.4×	118 1.5×	19 0.3×	103 2.1×	14 0.3×	33	272
K. Hemachandran	182 1.2×	52 0.7×	8 0.1×	21 0.4×	33 0.7×	36	248
Huaxiang Liu	197 1.3×	49 0.6×	10 0.2×	48 1.0×	62 1.3×	21	314
Kapil Kumar Nagwanshi	78 0.5×	111 1.4×	7 0.1×	69 1.4×	13 0.3×	35	249
Xuan Xu	105 0.7×	76 1.0×	23 0.4×	44 0.9×	27 0.6×	31	226

Countries citing papers authored by G. Gopakumar

Since Specialization

Citations

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

Fields of papers citing papers by G. Gopakumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Gopakumar

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