Rahmad Mahendra

75 total papers · 987 total citations
45 papers, 411 citations indexed

About

Rahmad Mahendra is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Rahmad Mahendra has authored 45 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 13 papers in Information Systems and 3 papers in Sociology and Political Science. Recurrent topics in Rahmad Mahendra's work include Topic Modeling (21 papers), Natural Language Processing Techniques (18 papers) and Sentiment Analysis and Opinion Mining (13 papers). Rahmad Mahendra is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (18 papers) and Sentiment Analysis and Opinion Mining (13 papers). Rahmad Mahendra collaborates with scholars based in Indonesia, Australia and Japan. Rahmad Mahendra's co-authors include Mirna Adriani, Indra Budi, Hendra Manurung, Samuel Cahyawijaya, Timothy Baldwin, Genta Indra Winata, I Wayan Arka, Fajri Koto, Ade Romadhony and Jey Han Lau and has published in prestigious journals such as Journal Of Big Data, Transactions of the Association for Computational Linguistics and Journal of Biomedical Semantics.

In The Last Decade

Rahmad Mahendra

42 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Rahmad Mahendra	316	136	32	26	23	45	411
Stephen Tratz	371 1.2×	35 0.3×	14 0.4×	31 1.2×	38 1.7×	33	431
Naoki Yoshinaga	345 1.1×	55 0.4×	24 0.8×	9 0.3×	73 3.2×	54	402
Afshin Rahimi	256 0.8×	82 0.6×	86 2.7×	7 0.3×	16 0.7×	18	372
Alistair Baron	208 0.7×	97 0.7×	36 1.1×	113 4.3×	18 0.8×	32	415
Giorgio Maria Di Nunzio	197 0.6×	95 0.7×	24 0.8×	17 0.7×	38 1.7×	84	370
Gábor Bella	276 0.9×	75 0.6×	21 0.7×	18 0.7×	69 3.0×	38	427
Pei-Yun Hsueh	276 0.9×	67 0.5×	32 1.0×	6 0.2×	53 2.3×	36	450
Giovanni Comarela	128 0.4×	111 0.8×	71 2.2×	5 0.2×	24 1.0×	37	414
Ana Meštrović	309 1.0×	98 0.7×	56 1.8×	7 0.3×	18 0.8×	46	435
Biswanath Dutta	242 0.8×	116 0.9×	33 1.0×	9 0.3×	15 0.7×	52	472

Countries citing papers authored by Rahmad Mahendra

Since Specialization

Citations

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

Fields of papers citing papers by Rahmad Mahendra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahmad Mahendra

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