M.R. Nababan

853 total citations · 1 hit paper
121 papers, 479 citations indexed

About

M.R. Nababan is a scholar working on Language and Linguistics, Information Systems and Developmental and Educational Psychology. According to data from OpenAlex, M.R. Nababan has authored 121 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Language and Linguistics, 55 papers in Information Systems and 48 papers in Developmental and Educational Psychology. Recurrent topics in M.R. Nababan's work include Linguistics and Language Analysis (62 papers), Language Acquisition and Education (45 papers) and English Language Learning and Teaching (36 papers). M.R. Nababan is often cited by papers focused on Linguistics and Language Analysis (62 papers), Language Acquisition and Education (45 papers) and English Language Learning and Teaching (36 papers). M.R. Nababan collaborates with scholars based in Indonesia and Malaysia. M.R. Nababan's co-authors include Riyadi Santosa, Djatmika Djatmika, Sri Marmanto, Muljono Muljono, Sumarlam Sumarlam, Wahyudi Wahyudi, Anita Anita, Fahmi Gunawan and Hisham Dzakırıa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Theory and Practice in Language Studies and Advanced Science Letters.

In The Last Decade

M.R. Nababan

88 papers receiving 452 citations

Hit Papers

PENGEMBANGAN MODEL PENILAIAN KUALITAS TERJEMAHAN 2015 2026 2018 2022 2015 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. PENGEMBANGAN MODEL PENILAIAN KUALITAS TERJEMAHAN
    2015 187 citations M.R. Nababan et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M.R. Nababan Indonesia 7 311 202 147 94 67 121 479
Lucía Molina Spain 3 394 1.3× 109 0.5× 111 0.8× 102 1.1× 44 0.7× 6 504
Djatmika Djatmika Indonesia 7 189 0.6× 146 0.7× 79 0.5× 19 0.2× 65 1.0× 155 297
Riyadi Santosa Indonesia 8 170 0.5× 108 0.5× 66 0.4× 24 0.3× 73 1.1× 132 298
Harimurti Kridalaksana Indonesia 8 344 1.1× 327 1.6× 123 0.8× 51 0.5× 108 1.6× 19 464
Riyad F. Hussein Jordan 10 165 0.5× 56 0.3× 56 0.4× 39 0.4× 56 0.8× 26 285
Hans Lapoliwa 4 433 1.4× 466 2.3× 166 1.1× 104 1.1× 176 2.6× 11 657
Mahsun Indonesia 7 404 1.3× 450 2.2× 126 0.9× 49 0.5× 264 3.9× 23 682
Sumarlam Sumarlam Indonesia 8 253 0.8× 208 1.0× 89 0.6× 14 0.1× 106 1.6× 182 423
Anton M. Moeliono 5 452 1.5× 483 2.4× 166 1.1× 104 1.1× 187 2.8× 12 677
Soenjono Dardjowidjojo United States 7 469 1.5× 480 2.4× 203 1.4× 89 0.9× 222 3.3× 20 761

Countries citing papers authored by M.R. Nababan

Since Specialization
Citations

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

Fields of papers citing papers by M.R. Nababan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.R. Nababan. 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 M.R. Nababan. The network helps show where M.R. Nababan may publish in the future.

Co-authorship network of co-authors of M.R. Nababan

This figure shows the co-authorship network connecting the top 25 collaborators of M.R. Nababan. A scholar is included among the top collaborators of M.R. Nababan 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 M.R. Nababan. M.R. Nababan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nababan, M.R., et al.. (2024). Preserving Face Threatening Acts in the English Translation of Bumi Manusia. International Journal of Multicultural and Multireligious Understanding. 11(3). 199–199.
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Nababan, M.R., et al.. (2023). An Appraisal Theory Approach to Translate an Emotional Dimension in The Tell-Tale Heart. International Journal of Multicultural and Multireligious Understanding. 10(6). 15–15.
4.
Nababan, M.R., et al.. (2022). Translation Analysis of Speech Act Accommodating Verbal Bullying Events in the Serial Netflix “Sex Education” Film Season 1 and 2. International Journal of Multicultural and Multireligious Understanding. 9(12). 324–324.
5.
Nababan, M.R., et al.. (2022). The Impact of Translation Techniques Toward Translation Quality of Javanese Swear Words in Subtitle Film Yowis Ben 2. International Journal of Multicultural and Multireligious Understanding. 9(2). 111–111.
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Nababan, M.R., et al.. (2021). The Impact of Translation Techniques on the Quality of Translation of Judgment Expression that Describes the Main Characters in the Untamed TV Series. SHILAP Revista de lepidopterología. 8(10). 262–262. 1 indexed citations
7.
Nababan, M.R., et al.. (2021). Visually Impaired Novice Translators in Using Translation Techniques. SHILAP Revista de lepidopterología. 6(2). 154–167. 4 indexed citations
8.
Nababan, M.R., et al.. (2021). Analisis Terjemahan Tuturan Asertif yang Merepresentasikan Strategi Kesantunan Bald on Record pada Novel Rich People Problems Karya Kevin Kwan. 3. 577–583. 3 indexed citations
9.
Nababan, M.R., et al.. (2020). The Translation Accuracy of Words, Phrases and Clauses Accommodating Graduation in Of Mice And Men into Tikus Dan Manusia. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Nababan, M.R., et al.. (2020). The Impact of Translation Techniques towards the Accuracy of Sarcasm Expression in Television Series the Big Bang Theory. SHILAP Revista de lepidopterología. 7(2). 391–391. 3 indexed citations
11.
Nababan, M.R., et al.. (2020). Translation Analysis of Political Terms in the Movie of “Snowden” and “White House Down”. SHILAP Revista de lepidopterología.
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Nababan, M.R., et al.. (2020). Translation Technique of the Impoliteness in Harry Potter and Goblet of Fire. SHILAP Revista de lepidopterología.
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Nababan, M.R., et al.. (2019). The Analysis of the Results of Acceptability on the Translation Results in the Unedited Version and Edited Version in the Novel “After You”. SHILAP Revista de lepidopterología. 6(4). 422–422. 1 indexed citations
14.
Nababan, M.R., et al.. (2019). The Accuracy of Directive Speech Act Responding Command Turn Taking in Game of Thrones Novel. SHILAP Revista de lepidopterología. 6(2). 472–472. 3 indexed citations
15.
Nababan, M.R., et al.. (2019). Male Characters’ Expressive Speech Act on Romantic Speech Events in New Moon. International Journal of Linguistics Literature & Translation. 2(4). 290318. 1 indexed citations
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Nababan, M.R., et al.. (2018). Translation Quality on Words Containing Spelling, Punctuation and Grammatical Error. SHILAP Revista de lepidopterología. 5(5). 224–224. 3 indexed citations
19.
Nababan, M.R., et al.. (2018). External Conjunction on the Moses Story in Al-Qu’ran Surah Thaha English Translation. SHILAP Revista de lepidopterología. 5(3). 246–246.
20.
Nababan, M.R., et al.. (2015). PENGEMBANGAN MODEL PENILAIAN KUALITAS TERJEMAHAN. SHILAP Revista de lepidopterología. 187 indexed citations breakdown →

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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