Alok Kumar Shukla

60 total papers · 1.2k total citations
48 papers, 907 citations indexed

About

Alok Kumar Shukla is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Alok Kumar Shukla has authored 48 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 20 papers in Molecular Biology and 14 papers in Computer Networks and Communications. Recurrent topics in Alok Kumar Shukla's work include Gene expression and cancer classification (18 papers), Evolutionary Algorithms and Applications (13 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Alok Kumar Shukla is often cited by papers focused on Gene expression and cancer classification (18 papers), Evolutionary Algorithms and Applications (13 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Alok Kumar Shukla collaborates with scholars based in India, Italy and United Kingdom. Alok Kumar Shukla's co-authors include Manu Vardhan, Pradeep Singh, Diwakar Tripathi, Chandramohan Dhasarathan, Sanjeev Kumar Pippal, Sarsij Tripathi, Pradeep Kumar Singh, Ashraf Hossain, Damodar Reddy Edla and Annushree Bablani and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Information Sciences.

In The Last Decade

Alok Kumar Shukla

46 papers receiving 855 citations

Author Peers

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

Author						Papers	Cites
Alok Kumar Shukla	583	356	190	126	92	48	907
Theo G. Swart	468 0.8×	171 0.5×	187 1.0×	50 0.4×	109 1.2×	84	1.0k
Petr Somol	473 0.8×	136 0.4×	43 0.2×	369 2.9×	62 0.7×	47	938
Albert Orriols-Puig	687 1.2×	101 0.3×	38 0.2×	126 1.0×	75 0.8×	33	870
Mehdi Agha Sarram	409 0.7×	136 0.4×	186 1.0×	283 2.2×	96 1.0×	38	891
Yong Wang	276 0.5×	159 0.4×	49 0.3×	68 0.5×	105 1.1×	35	848
Erik Hemberg	451 0.8×	61 0.2×	134 0.7×	56 0.4×	65 0.7×	84	740
Amjad Hudaib	377 0.6×	86 0.2×	219 1.2×	76 0.6×	57 0.6×	62	855
Vivekanand Gopalkrishnan	308 0.5×	68 0.2×	91 0.5×	96 0.8×	76 0.8×	30	768
Marcílio C. P. de Souto	512 0.9×	149 0.4×	19 0.1×	130 1.0×	62 0.7×	57	711
Changjun Zhou	218 0.4×	218 0.6×	47 0.2×	259 2.1×	85 0.9×	65	901

Countries citing papers authored by Alok Kumar Shukla

Since Specialization

Citations

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

Fields of papers citing papers by Alok Kumar Shukla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alok Kumar Shukla

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