Naushad UzZaman

1.1k total citations
22 papers, 564 citations indexed

About

Naushad UzZaman is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Naushad UzZaman has authored 22 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Naushad UzZaman's work include Natural Language Processing Techniques (18 papers), Topic Modeling (11 papers) and Semantic Web and Ontologies (7 papers). Naushad UzZaman is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (11 papers) and Semantic Web and Ontologies (7 papers). Naushad UzZaman collaborates with scholars based in United States, Bangladesh and Spain. Naushad UzZaman's co-authors include James F. Allen, Héctor Llorens, James Pustejovsky, Mumit Khan, Marc Verhagen, Leon Derczynski, Jeffrey P. Bigham, Md. Jahangir Alam, Nasrin Mostafazadeh and Nathanael Chambers and has published in prestigious journals such as Language Resources and Evaluation, International Journal of Semantic Computing and Meeting of the Association for Computational Linguistics.

In The Last Decade

Naushad UzZaman

22 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naushad UzZaman United States 11 527 75 68 63 37 22 564
Héctor Llorens Spain 10 521 1.0× 69 0.9× 66 1.0× 22 0.3× 30 0.8× 21 556
Vasin Punyakanok United States 10 858 1.6× 85 1.1× 27 0.4× 56 0.9× 24 0.6× 20 902
Tara Safavi United States 8 226 0.4× 30 0.4× 35 0.5× 84 1.3× 35 0.9× 20 318
Taylor Cassidy United States 12 502 1.0× 61 0.8× 39 0.6× 36 0.6× 85 2.3× 21 550
Yi Luan United States 9 621 1.2× 71 0.9× 26 0.4× 126 2.0× 63 1.7× 19 697
Björn Buchhold Germany 9 227 0.4× 26 0.3× 40 0.6× 27 0.4× 40 1.1× 11 286
Quan Hung Tran United States 14 345 0.7× 32 0.4× 51 0.8× 80 1.3× 16 0.4× 26 427
Ruotian Ma China 7 584 1.1× 20 0.3× 88 1.3× 59 0.9× 44 1.2× 14 630
Jordi Turmo Spain 12 364 0.7× 30 0.4× 50 0.7× 48 0.8× 29 0.8× 40 439
Elmar Haußmann Germany 8 318 0.6× 23 0.3× 28 0.4× 42 0.7× 43 1.2× 12 354

Countries citing papers authored by Naushad UzZaman

Since Specialization
Citations

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

Fields of papers citing papers by Naushad UzZaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naushad UzZaman

This figure shows the co-authorship network connecting the top 25 collaborators of Naushad UzZaman. A scholar is included among the top collaborators of Naushad UzZaman 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 Naushad UzZaman. Naushad UzZaman 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.
Llorens, Héctor, Nathanael Chambers, Naushad UzZaman, et al.. (2015). SemEval-2015 Task 5: QA TempEval - Evaluating Temporal Information Understanding with Question Answering. 792–800. 32 indexed citations
2.
UzZaman, Naushad, Héctor Llorens, Leon Derczynski, et al.. (2013). SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations. Joint Conference on Lexical and Computational Semantics. 2. 1–9. 216 indexed citations
3.
Allen, James F. & Naushad UzZaman. (2012). Interpreting the temporal aspects of language. 3 indexed citations
4.
UzZaman, Naushad, Héctor Llorens, & James F. Allen. (2012). Evaluating Temporal Information Understanding with Temporal Question Answering. 79–82. 9 indexed citations
5.
UzZaman, Naushad & James F. Allen. (2011). Temporal Evaluation. Meeting of the Association for Computational Linguistics. 351–356. 38 indexed citations
6.
UzZaman, Naushad, Jeffrey P. Bigham, & James F. Allen. (2011). Multimodal summarization of complex sentences. 43–52. 26 indexed citations
7.
UzZaman, Naushad & James F. Allen. (2010). TRIOS-TimeBank Corpus: Extended TimeBank Corpus with Help of Deep Understanding of Text. Language Resources and Evaluation. 3(1). e000472–e000472. 7 indexed citations
8.
UzZaman, Naushad & James F. Allen. (2010). TRIPS and TRIOS System for TempEval-2: Extracting Temporal Information from Text. Meeting of the Association for Computational Linguistics. 276–283. 77 indexed citations
9.
UzZaman, Naushad & James F. Allen. (2010). Extracting Events and Temporal Expressions from Text. 1–8. 8 indexed citations
10.
UzZaman, Naushad & James F. Allen. (2010). EVENT AND TEMPORAL EXPRESSION EXTRACTION FROM RAW TEXT: FIRST STEP TOWARDS A TEMPORALLY AWARE SYSTEM. International Journal of Semantic Computing. 4(4). 487–508. 15 indexed citations
11.
Alam, Md. Jahangir, Naushad UzZaman, & Mumit Khan. (2007). N-gram based statistical grammar checker for Bangla and English. BRAC University Institutional Repository (BRAC University). 28 indexed citations
12.
UzZaman, Naushad, et al.. (2007). Comparison of Unigram, Bigram, HMM and Brill's POS tagging approaches for some South Asian languages. BRAC University Institutional Repository (BRAC University). 17 indexed citations
13.
UzZaman, Naushad, et al.. (2006). A Double Metaphone Encoding for Bangla and its Application in Spelling Checker. 705–710. 26 indexed citations
14.
UzZaman, Naushad, et al.. (2006). A comprehensive roman (English)-to-Bangla transliteration scheme. BRAC University Institutional Repository (BRAC University). 6 indexed citations
15.
UzZaman, Naushad, et al.. (2006). Rule based automated pronunciation generator. BRAC University Institutional Repository (BRAC University). 5 indexed citations
16.
UzZaman, Naushad & Mumit Khan. (2006). A comprehensive Bangla spelling checker. BRAC University Institutional Repository (BRAC University). 17 indexed citations
17.
Habib, Md. Tarek, et al.. (2006). History (Forward N-Gram) or future (Backward N-Gram)? Which model to consider for N-Gram analysis in Bangla?. BRAC University Institutional Repository (BRAC University). 1 indexed citations
18.
UzZaman, Naushad & Mumit Khan. (2005). A double metaphone encoding for approximate name searching and matching in Bangla. BRAC University Institutional Repository (BRAC University). 108–113. 4 indexed citations
19.
UzZaman, Naushad, et al.. (2005). T12: an advanced text input system with phonetic support for mobile devices. BRAC University Institutional Repository (BRAC University). 2005. 52–52. 4 indexed citations
20.
UzZaman, Naushad & Mumit Khan. (2004). A Bangla phonetic encoding for better spelling suggesions. BRAC University Institutional Repository (BRAC University). 16 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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