Gunawan Wang

137 total papers · 589 total citations
92 papers, 344 citations indexed

About

Gunawan Wang is a scholar working on Information Systems, Management Information Systems and Information Systems and Management. According to data from OpenAlex, Gunawan Wang has authored 92 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Information Systems, 24 papers in Management Information Systems and 22 papers in Information Systems and Management. Recurrent topics in Gunawan Wang's work include Technology Adoption and User Behaviour (22 papers), Big Data and Business Intelligence (16 papers) and Blockchain Technology in Education and Learning (11 papers). Gunawan Wang is often cited by papers focused on Technology Adoption and User Behaviour (22 papers), Big Data and Business Intelligence (16 papers) and Blockchain Technology in Education and Learning (11 papers). Gunawan Wang collaborates with scholars based in Indonesia, United States and India. Gunawan Wang's co-authors include Sfenrianto Sfenrianto, Emil R. Kaburuan, Ahmad Nurul Fajar, Zuopeng Zhang, Abhishek Behl, Johanes Fernandes Andry, Aries Susanto, Ditdit Nugeraha Utama, Jarot S. Suroso and Abba Suganda Girsang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The TQM Journal and Journal of theoretical and applied electronic commerce research.

In The Last Decade

Gunawan Wang

75 papers receiving 316 citations

Author Peers

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

Author						Papers	Cites
Gunawan Wang	105	63	61	59	58	92	344
Jann Hidajat Tjakraatmadja	56 0.5×	81 1.3×	53 0.9×	48 0.8×	25 0.4×	52	364
Amalia Suzianti	43 0.4×	94 1.5×	72 1.2×	58 1.0×	77 1.3×	90	395
Luis Hernan Contreras Pinochet	41 0.4×	71 1.1×	73 1.2×	60 1.0×	56 1.0×	71	297
Witold Chmielarz	73 0.7×	63 1.0×	71 1.2×	73 1.2×	46 0.8×	79	359
Alireza Nili	39 0.4×	42 0.7×	87 1.4×	38 0.6×	53 0.9×	30	374
Barbara Krumay	77 0.7×	25 0.4×	64 1.0×	44 0.7×	76 1.3×	29	396
Mohammad Ismail	47 0.4×	55 0.9×	43 0.7×	106 1.8×	36 0.6×	46	364
Emil R. Kaburuan	108 1.0×	42 0.7×	54 0.9×	42 0.7×	25 0.4×	77	382
Anderes Gui	53 0.5×	94 1.5×	75 1.2×	51 0.9×	64 1.1×	98	320
Paweł Weichbroth	135 1.3×	60 1.0×	59 1.0×	30 0.5×	22 0.4×	53	403

Countries citing papers authored by Gunawan Wang

Since Specialization

Citations

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

Fields of papers citing papers by Gunawan Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunawan Wang

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