Dhavalkumar Thakker

124 total papers · 1.1k total citations
67 papers, 632 citations indexed

About

Dhavalkumar Thakker is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Dhavalkumar Thakker has authored 67 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 16 papers in Information Systems and 12 papers in Computer Networks and Communications. Recurrent topics in Dhavalkumar Thakker's work include Semantic Web and Ontologies (23 papers), Service-Oriented Architecture and Web Services (9 papers) and Air Quality Monitoring and Forecasting (6 papers). Dhavalkumar Thakker is often cited by papers focused on Semantic Web and Ontologies (23 papers), Service-Oriented Architecture and Web Services (9 papers) and Air Quality Monitoring and Forecasting (6 papers). Dhavalkumar Thakker collaborates with scholars based in United Kingdom, India and Jordan. Dhavalkumar Thakker's co-authors include Jyoti Mishra, Suvodeep Mazumdar, Vishanth Weerakkody, Mohamad Osmani, Ramzi El‐Haddadeh, Kawaljeet Kaur Kapoor, Vania Dimitrova, Taha Osman, Irfan‐Ullah Awan and Savas Konur and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Dhavalkumar Thakker

60 papers receiving 602 citations

Author Peers

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

Author						Papers	Cites
Dhavalkumar Thakker	153	117	95	76	70	67	632
Rana Alabdan	115 0.8×	137 1.2×	98 1.0×	65 0.9×	52 0.7×	44	639
Justyna Żywiołek	75 0.5×	83 0.7×	104 1.1×	81 1.1×	29 0.4×	63	768
Elmar Kiesling	109 0.7×	118 1.0×	98 1.0×	111 1.5×	78 1.1×	57	786
Edwin Ramirez-Asís	131 0.9×	116 1.0×	58 0.6×	53 0.7×	50 0.7×	54	732
Jens Strüker	86 0.6×	222 1.9×	52 0.5×	80 1.1×	39 0.6×	41	597
Hassan Ouajji	151 1.0×	125 1.1×	72 0.8×	63 0.8×	136 1.9×	54	650
Seungjae Shin	122 0.8×	73 0.6×	143 1.5×	54 0.7×	23 0.3×	52	560
Annlizé L. Marnewick	44 0.3×	149 1.3×	43 0.5×	110 1.4×	96 1.4×	68	721
Alejandro Maté	277 1.8×	288 2.5×	110 1.2×	35 0.5×	47 0.7×	58	771
Dianhui Chu	239 1.6×	197 1.7×	161 1.7×	39 0.5×	81 1.2×	86	782

Countries citing papers authored by Dhavalkumar Thakker

Since Specialization

Citations

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

Fields of papers citing papers by Dhavalkumar Thakker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhavalkumar Thakker

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