Anggit Dwi Hartanto

144 total papers · 466 total citations
87 papers, 263 citations indexed

About

Anggit Dwi Hartanto is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Anggit Dwi Hartanto has authored 87 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Information Systems, 59 papers in Artificial Intelligence and 13 papers in Management Information Systems. Recurrent topics in Anggit Dwi Hartanto's work include Edcuational Technology Systems (39 papers), Multimedia Learning Systems (33 papers) and Data Mining and Machine Learning Applications (33 papers). Anggit Dwi Hartanto is often cited by papers focused on Edcuational Technology Systems (39 papers), Multimedia Learning Systems (33 papers) and Data Mining and Machine Learning Applications (33 papers). Anggit Dwi Hartanto collaborates with scholars based in Indonesia. Anggit Dwi Hartanto's co-authors include Ema Utami, Suwanto Raharjo, Yoga Pristyanto, Rini Rini, Adri Priadana, Wahyu Hidayat, Mardhiya Hayaty, Agung Prasetyo, Kusrini Kusrini and Hanafi Hanafi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of King Saud University - Computer and Information Sciences and Applied Computing and Informatics.

In The Last Decade

Anggit Dwi Hartanto

63 papers receiving 238 citations

Author Peers

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

Author						Papers	Cites
Anggit Dwi Hartanto	159	145	22	22	21	87	263
Suwanto Raharjo	126 0.8×	136 0.9×	13 0.6×	24 1.1×	8 0.4×	70	248
Sim Kim Lau	86 0.5×	69 0.5×	18 0.8×	33 1.5×	8 0.4×	63	237
Ingo Frommholz	193 1.2×	117 0.8×	22 1.0×	8 0.4×	22 1.0×	56	305
Andrea Molinari	63 0.4×	94 0.6×	18 0.8×	13 0.6×	16 0.8×	64	277
Geraldo Xexéo	78 0.5×	79 0.5×	20 0.9×	31 1.4×	13 0.6×	99	296
Alicia Martínez	106 0.7×	93 0.6×	17 0.8×	41 1.9×	10 0.5×	62	303
Samantha Thelijjagoda	96 0.6×	59 0.4×	11 0.5×	19 0.9×	8 0.4×	88	323
Daniela Gîfu	102 0.6×	67 0.5×	20 0.9×	12 0.5×	11 0.5×	82	307
Maulahikmah Galinium	140 0.9×	121 0.8×	31 1.4×	14 0.6×	31 1.5×	46	294
Robert Thomson	115 0.7×	114 0.8×	33 1.5×	9 0.4×	29 1.4×	37	320

Countries citing papers authored by Anggit Dwi Hartanto

Since Specialization

Citations

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

Fields of papers citing papers by Anggit Dwi Hartanto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anggit Dwi Hartanto. 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 Anggit Dwi Hartanto. The network helps show where Anggit Dwi Hartanto may publish in the future.

Co-authorship network of co-authors of Anggit Dwi Hartanto

This figure shows the co-authorship network connecting the top 25 collaborators of Anggit Dwi Hartanto. A scholar is included among the top collaborators of Anggit Dwi Hartanto 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 Anggit Dwi Hartanto. Anggit Dwi Hartanto 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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