Hendra Manurung

164 total papers · 1.6k total citations
92 papers, 851 citations indexed

About

Hendra Manurung is a scholar working on Artificial Intelligence, Political Science and International Relations and Sociology and Political Science. According to data from OpenAlex, Hendra Manurung has authored 92 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 19 papers in Political Science and International Relations and 12 papers in Sociology and Political Science. Recurrent topics in Hendra Manurung's work include Natural Language Processing Techniques (22 papers), Topic Modeling (19 papers) and Global Political and Economic Relations (8 papers). Hendra Manurung is often cited by papers focused on Natural Language Processing Techniques (22 papers), Topic Modeling (19 papers) and Global Political and Economic Relations (8 papers). Hendra Manurung collaborates with scholars based in Indonesia, United Kingdom and Iran. Hendra Manurung's co-authors include Graéme Ritchie, Aniati Murni Arymurthy, Helen Pain, Annalu Waller, Henry S. Thompson, Rolf Black, Rahmad Mahendra, Retno Kusumaningrum, Wei Hong and I Wayan Arka and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Intelligent Systems and Language Resources and Evaluation.

In The Last Decade

Hendra Manurung

82 papers receiving 748 citations

Author Peers

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

Author						Papers	Cites
Hendra Manurung	502	176	156	95	84	92	851
Matthias Rehm	292 0.6×	122 0.7×	99 0.6×	329 3.5×	140 1.7×	117	1.0k
Nor Azan Mat Zin	196 0.4×	84 0.5×	288 1.8×	60 0.6×	72 0.9×	98	990
Jalal Mahmud	363 0.7×	96 0.5×	340 2.2×	85 0.9×	45 0.5×	63	1.0k
Mike Wald	157 0.3×	110 0.6×	128 0.8×	27 0.3×	22 0.3×	92	872
Noraidah Sahari Ashaari	133 0.3×	67 0.4×	219 1.4×	61 0.6×	54 0.6×	106	1.0k
Daniel Gooch	71 0.1×	62 0.4×	129 0.8×	109 1.1×	43 0.5×	59	995
Paul Brna	249 0.5×	63 0.4×	117 0.8×	63 0.7×	107 1.3×	69	845
Manuel B. Garcia	133 0.3×	76 0.4×	162 1.0×	31 0.3×	27 0.3×	93	873
Yun‐Fang Tu	247 0.5×	40 0.2×	239 1.5×	62 0.7×	40 0.5×	65	1.0k
Elena Not	116 0.2×	393 2.2×	95 0.6×	57 0.6×	34 0.4×	42	883

Countries citing papers authored by Hendra Manurung

Since Specialization

Citations

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

Fields of papers citing papers by Hendra Manurung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hendra Manurung

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