G. Phanendra Babu

16 total papers · 436 total citations
13 papers, 291 citations indexed

About

G. Phanendra Babu is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, G. Phanendra Babu has authored 13 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in G. Phanendra Babu's work include Evolutionary Algorithms and Applications (5 papers), Neural Networks and Applications (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). G. Phanendra Babu is often cited by papers focused on Evolutionary Algorithms and Applications (5 papers), Neural Networks and Applications (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). G. Phanendra Babu collaborates with scholars based in India and Singapore. G. Phanendra Babu's co-authors include M. Narasimha Murty, B. M. Mehtre, Mohan Kankanhalli, M. Ramakrishna Murty and S. Sathiya Keerthi and has published in prestigious journals such as Pattern Recognition, Pattern Recognition Letters and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

G. Phanendra Babu

11 papers receiving 263 citations

Author Peers

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

Author						Papers	Cites
G. Phanendra Babu	184	116	42	27	25	13	291
Jiang Xie	208 1.1×	105 0.9×	51 1.2×	29 1.1×	37 1.5×	15	267
Lorenzo Sarti	164 0.9×	202 1.7×	34 0.8×	29 1.1×	34 1.4×	17	315
Inmar E. Givoni	196 1.1×	122 1.1×	30 0.7×	49 1.8×	12 0.5×	13	331
Yiyang Gu	205 1.1×	80 0.7×	16 0.4×	42 1.6×	20 0.8×	15	310
Brieuc Conan‐Guez	163 0.9×	74 0.6×	56 1.3×	7 0.3×	20 0.8×	13	271
Hong Jia	248 1.3×	136 1.2×	44 1.0×	55 2.0×	29 1.2×	11	304
Ching-pei Lee	144 0.8×	71 0.6×	37 0.9×	70 2.6×	26 1.0×	13	263
Bo Liu	139 0.8×	51 0.4×	23 0.5×	59 2.2×	12 0.5×	14	273
Hyunsoo Kim	139 0.8×	78 0.7×	19 0.5×	37 1.4×	49 2.0×	17	328
Ibrahim Elashry	73 0.4×	244 2.1×	64 1.5×	27 1.0×	22 0.9×	18	292

Countries citing papers authored by G. Phanendra Babu

Since Specialization

Citations

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

Fields of papers citing papers by G. Phanendra Babu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Phanendra Babu

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