Nobal B. Niraula

651 total citations
35 papers, 257 citations indexed

About

Nobal B. Niraula is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Nobal B. Niraula has authored 35 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Molecular Biology. Recurrent topics in Nobal B. Niraula's work include Topic Modeling (23 papers), Natural Language Processing Techniques (20 papers) and Speech and dialogue systems (11 papers). Nobal B. Niraula is often cited by papers focused on Topic Modeling (23 papers), Natural Language Processing Techniques (20 papers) and Speech and dialogue systems (11 papers). Nobal B. Niraula collaborates with scholars based in United States, France and India. Nobal B. Niraula's co-authors include Vasile Rus, Rajendra Banjade, Dan Ştefănescu, Mihai Lintean, Arthur C. Graesser, Chantal Reynaud, Anne Kao, Fatiha Saïs, Marie-Christine Rousset and William Baggett and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Genomics and Language Resources and Evaluation.

In The Last Decade

Nobal B. Niraula

32 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nobal B. Niraula United States	8	218	57	22	21	21	35	257
Xinhua Zhu China	12	208 1.0×	45 0.8×	37 1.7×	19 0.9×	9 0.4×	33	268
Youness Madani Morocco	11	190 0.9×	134 2.4×	47 2.1×	10 0.5×	16 0.8×	23	275
Mariano Rico Spain	8	64 0.3×	54 0.9×	27 1.2×	17 0.8×	41 2.0×	31	169
Ran Yu Germany	8	111 0.5×	66 1.2×	28 1.3×	6 0.3×	22 1.0×	30	203
Slavko Žitnik Slovenia	8	106 0.5×	42 0.7×	22 1.0×	20 1.0×	4 0.2×	30	181
Karl Schultz United States	7	165 0.8×	34 0.6×	9 0.4×	16 0.8×	15 0.7×	17	216
David Uthus United States	8	191 0.9×	43 0.8×	5 0.2×	7 0.3×	11 0.5×	13	251
Christopher S. Mellish United Kingdom	8	140 0.6×	37 0.6×	8 0.4×	9 0.4×	8 0.4×	20	224
Daan Broeder Netherlands	9	164 0.8×	64 1.1×	4 0.2×	16 0.8×	19 0.9×	63	257
Regina Motz Uruguay	6	50 0.2×	65 1.1×	59 2.7×	9 0.4×	8 0.4×	59	152

Countries citing papers authored by Nobal B. Niraula

Since Specialization

Citations

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

Fields of papers citing papers by Nobal B. Niraula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nobal B. Niraula. 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 Nobal B. Niraula. The network helps show where Nobal B. Niraula may publish in the future.

Co-authorship network of co-authors of Nobal B. Niraula

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

All Works

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20 of 20 papers shown

Niraula, Nobal B., et al.. (2025). Generative AI for Named Entity Recognition in Low-Resource Language Nepali. Proceedings of the ... International Florida Artificial Intelligence Research Society Conference. 38.

Niraula, Nobal B., et al.. (2024). Multi-Label Classification with Generative Large Language Models. 1–7. 2 indexed citations

Niraula, Nobal B., et al.. (2023). DanfeNER - Named Entity Recognition in Nepali Tweets. SHILAP Revista de lepidopterología. 36.

Niraula, Nobal B., et al.. (2023). Discovering Depressurization Events in Service Difficulty Reports using Machine Learning. 12. 48–52. 1 indexed citations

Banjade, Rajendra, Nobal B. Niraula, & Vasile Rus. (2016). Towards Detecting Intra- and Inter-Sentential Negation Scope and Focus in Dialogue.. The Florida AI Research Society. 198–203. 3 indexed citations

Banjade, Rajendra, et al.. (2016). SemAligner: A Method and Tool for Aligning Chunks with Semantic Relation Types and Semantic Similarity Scores. Language Resources and Evaluation. 1207–1211. 4 indexed citations

Niraula, Nobal B., et al.. (2015). Combining Word Representations for Measuring Word Relatedness and Similarity. The Florida AI Research Society. 199–204. 5 indexed citations

Banjade, Rajendra, Vasile Rus, & Nobal B. Niraula. (2015). Using an Implicit Method for Coreference Resolution and Ellipsis Handling in Automatic Student Answer Assessment. The Florida AI Research Society. 150–155. 2 indexed citations

Rus, Vasile, et al.. (2015). Automated Labelling of Dialogue Modes In Tutorial Dialogues.. The Florida AI Research Society. 205–210. 2 indexed citations

10.

Banjade, Rajendra, et al.. (2015). NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity. 164–171. 16 indexed citations

11.

Niraula, Nobal B., Vasile Rus, Rajendra Banjade, et al.. (2014). The DARE Corpus: A Resource for Anaphora Resolution in Dialogue Based Intelligent Tutoring Systems. Language Resources and Evaluation. 3199–3203. 7 indexed citations

12.

Niraula, Nobal B., Vasile Rus, Dan Ştefănescu, & Arthur C. Graesser. (2014). Mining Gap-fill Questions from Tutorial Dialogues.. Educational Data Mining. 265–268. 3 indexed citations

13.

Rus, Vasile, Nobal B. Niraula, & Rajendra Banjade. (2013). A Study of Probabilistic and Algebraic Methods for Semantic Similarity.. The Florida AI Research Society. 1 indexed citations

14.

Niraula, Nobal B., Vasile Rus, & Dan Ştefănescu. (2013). DARE: Deep Anaphora Resolution in Dialogue based Intelligent Tutoring Systems.. Educational Data Mining. 366–367. 2 indexed citations

15.

Rus, Vasile, Mihai Lintean, Rajendra Banjade, Nobal B. Niraula, & Dan Ştefănescu. (2013). SEMILAR: The Semantic Similarity Toolkit. Meeting of the Association for Computational Linguistics. 163–168. 71 indexed citations

16.

Rus, Vasile, Nobal B. Niraula, Mihai Lintean, et al.. (2013). Recommendations for the Generalized Intelligent Framework for Tutoring Based on the Development of the Deep Tutor Service.. 5 indexed citations

17.

Rus, Vasile, Rajendra Banjade, Mihai Lintean, Nobal B. Niraula, & Dan Ştefănescu. (2013). SEMILAR: A Semantic Similarity Toolkit for Assessing Students' Natural Language Inputs.. Educational Data Mining. 402–403. 1 indexed citations

18.

Rus, Vasile, et al.. (2012). Automated Discovery of Speech Act Categories in Educational Games.. Educational Data Mining. 25–32. 22 indexed citations

19.

Niraula, Nobal B., et al.. (2010). TaxoMap alignment and refinement modules: results for OAEI 2010. HAL (Le Centre pour la Communication Scientifique Directe). 212–219. 24 indexed citations

20.

Saïs, Fatiha, Nobal B. Niraula, Nathalie Pernelle, & Marie-Christine Rousset. (2010). LN2R - a knowledge based reference reconciliation system: OAEI 2010 results. HAL (Le Centre pour la Communication Scientifique Directe). 172–179. 9 indexed citations

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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