Pramod Kumar Singh

129 total papers · 1.7k total citations
62 papers, 938 citations indexed

About

Pramod Kumar Singh is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pramod Kumar Singh has authored 62 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 19 papers in Information Systems and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pramod Kumar Singh's work include Metaheuristic Optimization Algorithms Research (12 papers), Advanced Clustering Algorithms Research (11 papers) and Text and Document Classification Technologies (10 papers). Pramod Kumar Singh is often cited by papers focused on Metaheuristic Optimization Algorithms Research (12 papers), Advanced Clustering Algorithms Research (11 papers) and Text and Document Classification Technologies (10 papers). Pramod Kumar Singh collaborates with scholars based in India, United Kingdom and South Africa. Pramod Kumar Singh's co-authors include Kusum Kumari Bharti, Avadh Kishor, Joydip Dhar, Rajeev Kumar, Kusum Deep, Millie Pant, Atulya K. Nagar, Jagdish Chand Bansal, Ashok Kumar Sahoo and Pradeepta Kumar Sarangi and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.

In The Last Decade

Pramod Kumar Singh

57 papers receiving 890 citations

Author Peers

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

Author						Papers	Cites
Pramod Kumar Singh	570	212	181	138	78	62	938
Bhaskar Biswas	555 1.0×	220 1.0×	115 0.6×	95 0.7×	129 1.7×	86	1.1k
Ernesto Tarantino	533 0.9×	124 0.6×	136 0.8×	172 1.2×	121 1.6×	76	961
Zied Elouedi	516 0.9×	194 0.9×	83 0.5×	181 1.3×	89 1.1×	64	876
Shu Zhao	637 1.1×	301 1.4×	270 1.5×	137 1.0×	70 0.9×	109	1.1k
Waqas Haider Bangyal	576 1.0×	166 0.8×	159 0.9×	82 0.6×	84 1.1×	51	1.1k
Xiaoyue Feng	612 1.1×	299 1.4×	167 0.9×	64 0.5×	81 1.0×	47	1.1k
Wei Weng	537 0.9×	380 1.8×	319 1.8×	176 1.3×	116 1.5×	93	1.0k
Selma Ayşe Özel	695 1.2×	216 1.0×	118 0.7×	82 0.6×	63 0.8×	49	932
Ali Karcı	453 0.8×	122 0.6×	81 0.4×	196 1.4×	97 1.2×	105	846
Autilia Vitiello	541 0.9×	195 0.9×	89 0.5×	88 0.6×	89 1.1×	89	876

Countries citing papers authored by Pramod Kumar Singh

Since Specialization

Citations

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

Fields of papers citing papers by Pramod Kumar Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pramod Kumar Singh. 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 Pramod Kumar Singh. The network helps show where Pramod Kumar Singh may publish in the future.

Co-authorship network of co-authors of Pramod Kumar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Pramod Kumar Singh. A scholar is included among the top collaborators of Pramod Kumar Singh 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 Pramod Kumar Singh. Pramod Kumar Singh 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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