Dony Novaliendry

83 total papers · 554 total citations
55 papers, 288 citations indexed

About

Dony Novaliendry is a scholar working on Information Systems, Education and Artificial Intelligence. According to data from OpenAlex, Dony Novaliendry has authored 55 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Information Systems, 16 papers in Education and 15 papers in Artificial Intelligence. Recurrent topics in Dony Novaliendry's work include Blockchain Technology in Education and Learning (12 papers), Edcuational Technology Systems (12 papers) and Educational Methods and Media Use (8 papers). Dony Novaliendry is often cited by papers focused on Blockchain Technology in Education and Learning (12 papers), Edcuational Technology Systems (12 papers) and Educational Methods and Media Use (8 papers). Dony Novaliendry collaborates with scholars based in Indonesia, Taiwan and Malaysia. Dony Novaliendry's co-authors include Asrul Huda, Unung Verawardina, Dochi Ramadhani, Yeka Hendriyani, Krismadinata Krismadinata, Hansi Effendi, Putu Sudira, Fahmi Rizal, Nizwardi Jalinus and Cheng‐Hong Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ECS Transactions and International Journal of Interactive Mobile Technologies (iJIM).

In The Last Decade

Dony Novaliendry

45 papers receiving 258 citations

Author Peers

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

Author						Papers	Cites
Dony Novaliendry	133	133	48	25	24	55	288
Asrul Huda	153 1.2×	123 0.9×	54 1.1×	30 1.2×	16 0.7×	64	243
Kasman Rukun	156 1.2×	145 1.1×	89 1.9×	52 2.1×	5 0.2×	62	327
Rizky Ema Wulansari	141 1.1×	171 1.3×	30 0.6×	9 0.4×	34 1.4×	50	320
Syaad Patmanthara	131 1.0×	196 1.5×	23 0.5×	5 0.2×	24 1.0×	61	279
Hakkun Elmunsyah	95 0.7×	128 1.0×	55 1.1×	6 0.2×	20 0.8×	48	324
Jorge Pérez	121 0.9×	81 0.6×	41 0.9×	20 0.8×	25 1.0×	42	323
Endina Putri Purwandari	92 0.7×	158 1.2×	50 1.0×	9 0.4×	21 0.9×	54	291
Ria Asep Sumarni	185 1.4×	262 2.0×	26 0.5×	9 0.4×	14 0.6×	38	322
Sazilah Salam	70 0.5×	83 0.6×	29 0.6×	9 0.4×	52 2.2×	55	323
Gabriela Kiryakova	128 1.0×	75 0.6×	66 1.4×	13 0.5×	79 3.3×	23	329

Countries citing papers authored by Dony Novaliendry

Since Specialization

Citations

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

Fields of papers citing papers by Dony Novaliendry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dony Novaliendry

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