Chandra Kirana

70 total papers · 695 total citations
45 papers, 550 citations indexed

About

Chandra Kirana is a scholar working on Information Systems, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Chandra Kirana has authored 45 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 12 papers in Artificial Intelligence and 8 papers in Molecular Biology. Recurrent topics in Chandra Kirana's work include Edcuational Technology Systems (8 papers), Multimedia Learning Systems (6 papers) and Information Retrieval and Data Mining (5 papers). Chandra Kirana is often cited by papers focused on Edcuational Technology Systems (8 papers), Multimedia Learning Systems (6 papers) and Information Retrieval and Data Mining (5 papers). Chandra Kirana collaborates with scholars based in Australia, Indonesia and New Zealand. Chandra Kirana's co-authors include Ian R. Record, Graeme H. McIntosh, Graham P. Jones, Glen S. Patten, Mahinda Y. Abeywardena, Louise E. Bennett, Hongjun Shi, John P. Keating, Richard S. Stubbs and Guy J. Maddern and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and International Journal of Cancer.

In The Last Decade

Chandra Kirana

37 papers receiving 497 citations

Author Peers

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

Author						Papers	Cites
Chandra Kirana	191	154	69	55	53	45	550
Man Gong	236 1.2×	130 0.8×	56 0.8×	73 1.3×	11 0.2×	39	597
Qianfeng Chen	213 1.1×	61 0.4×	36 0.5×	79 1.4×	21 0.4×	33	574
M. Hattori	137 0.7×	85 0.6×	36 0.5×	101 1.8×	17 0.3×	37	512
Zhaoxing Li	227 1.2×	49 0.3×	64 0.9×	39 0.7×	19 0.4×	53	515
Liping Qu	204 1.1×	80 0.5×	33 0.5×	57 1.0×	13 0.2×	61	566
Yu-Shan Lin	198 1.0×	37 0.2×	92 1.3×	86 1.6×	22 0.4×	31	482
Nishat Fatima	124 0.6×	66 0.4×	36 0.5×	91 1.7×	39 0.7×	52	492
Bhanu Sharma	153 0.8×	43 0.3×	36 0.5×	41 0.7×	114 2.2×	59	568
Sheng Chang	141 0.7×	54 0.4×	48 0.7×	21 0.4×	43 0.8×	37	508
Rizal Rizal	105 0.5×	64 0.4×	32 0.5×	135 2.5×	18 0.3×	100	573

Countries citing papers authored by Chandra Kirana

Since Specialization

Citations

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

Fields of papers citing papers by Chandra Kirana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandra Kirana

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