John P. McCrae

3.8k total citations
135 papers, 1.5k citations indexed

About

John P. McCrae is a scholar working on Artificial Intelligence, Language and Linguistics and Molecular Biology. According to data from OpenAlex, John P. McCrae has authored 135 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Artificial Intelligence, 26 papers in Language and Linguistics and 19 papers in Molecular Biology. Recurrent topics in John P. McCrae's work include Natural Language Processing Techniques (100 papers), Semantic Web and Ontologies (52 papers) and Topic Modeling (50 papers). John P. McCrae is often cited by papers focused on Natural Language Processing Techniques (100 papers), Semantic Web and Ontologies (52 papers) and Topic Modeling (50 papers). John P. McCrae collaborates with scholars based in Ireland, Germany and Spain. John P. McCrae's co-authors include Bharathi Raja Chakravarthi, Philipp Cimiano, Paul Buitelaar, Mihael Arčan, Ruba Priyadharshini, Elena Montiel-Ponsoda, Shardul Suryawanshi, Elizabeth Sherly, Navya Jose and Jorge Gracia and has published in prestigious journals such as BMJ, BMC Bioinformatics and Pharmacoepidemiology and Drug Safety.

In The Last Decade

John P. McCrae

118 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John P. McCrae Ireland	23	1.3k	211	190	183	82	135	1.5k
Sara Tonelli Italy	20	1.0k 0.8×	158 0.7×	66 0.3×	57 0.3×	47 0.6×	108	1.2k
Shervin Malmasi United States	25	2.4k 1.8×	299 1.4×	98 0.5×	102 0.6×	226 2.8×	82	2.6k
Jan Šnajder Croatia	18	1.1k 0.8×	218 1.0×	37 0.2×	51 0.3×	40 0.5×	110	1.2k
R. Supyan Sauri Indonesia	17	1.4k 1.1×	205 1.0×	43 0.2×	224 1.2×	18 0.2×	52	1.8k
Roy J. Byrd United States	16	783 0.6×	137 0.6×	151 0.8×	171 0.9×	39 0.5×	32	1.0k
Anette Frank Germany	19	1.2k 0.9×	150 0.7×	155 0.8×	74 0.4×	14 0.2×	106	1.3k
Marc Moens United Kingdom	15	1.3k 1.0×	224 1.1×	76 0.4×	235 1.3×	17 0.2×	21	1.5k
Graham Katz United States	12	904 0.7×	89 0.4×	60 0.3×	113 0.6×	26 0.3×	32	1.0k
Omar F. Zaidan United States	14	1.3k 1.0×	157 0.7×	93 0.5×	41 0.2×	34 0.4×	20	1.4k
Josef van Genabith Ireland	26	2.4k 1.8×	191 0.9×	156 0.8×	102 0.6×	24 0.3×	244	2.5k

Countries citing papers authored by John P. McCrae

Since Specialization

Citations

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

Fields of papers citing papers by John P. McCrae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. McCrae. 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 John P. McCrae. The network helps show where John P. McCrae may publish in the future.

Co-authorship network of co-authors of John P. McCrae

This figure shows the co-authorship network connecting the top 25 collaborators of John P. McCrae. A scholar is included among the top collaborators of John P. McCrae 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 John P. McCrae. John P. McCrae 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

Ojha, Atul Kr., et al.. (2024). Multilingual Text Style Transfer: Datasets & Models for Indian Languages. 494–522.

Arčan, Mihael, et al.. (2023). Intent Classification by the Use of Automatically Generated Knowledge Graphs. Information. 14(5). 288–288. 2 indexed citations

Chakravarthi, Bharathi Raja, et al.. (2023). Detecting abusive comments at a fine-grained level in a low-resource language. 3. 100006–100006. 11 indexed citations

McCrae, John P., et al.. (2021). The GlobalWordNet Formats: Updates for 2020. Zenodo (CERN European Organization for Nuclear Research). 91–99.

Karim, Md. Rezaul, Bharathi Raja Chakravarthi, John P. McCrae, & Michael Cochez. (2020). Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 48 indexed citations

Chakravarthi, Bharathi Raja, M. Anand Kumar, John P. McCrae, et al.. (2020). Overview of the track on HASOC-Offensive Language Identification-DravidianCodeMix. 112–120. 30 indexed citations

McCrae, John P., et al.. (2019). English WordNet 2019 – An Open-Source WordNet for English. Zenodo (CERN European Organization for Nuclear Research). 245–252. 8 indexed citations

McCrae, John P., et al.. (2019). A Comparative Study of SVM and LSTM Deep Learning Algorithms for Stock Market Prediction.. 446–457. 26 indexed citations

Chakravarthi, Bharathi Raja, et al.. (2019). Multilingual multimodal machine translation for Dravidian languages utilizing phonetic transcription. Arrow@dit (Dublin Institute of Technology). 56–63. 18 indexed citations

10.

Bonial, Claire, et al.. (2018). Constructing an Annotated Corpus of Verbal MWEs for English.. Zenodo (CERN European Organization for Nuclear Research). 193–200. 2 indexed citations

11.

Bond, Francis, Piek Vossen, John P. McCrae, & Christiane Fellbaum. (2016). CILI: the Collaborative Interlingual Index. VU Research Portal. 50–57. 29 indexed citations

12.

McCrae, John P. & Philipp Cimiano. (2016). LIXR: Quick, succinct conversion of XML to RDF.. International Semantic Web Conference. 1 indexed citations

13.

Ehrmann, Maud, Francesco Cecconi, Daniele Vannella, et al.. (2014). Representing Multilingual Data as Linked Data: the Case of BabelNet 2.0. Language Resources and Evaluation. 401–408. 42 indexed citations

14.

McCrae, John P., Philipp Cimiano, & Roman Klinger. (2013). Orthonormal Explicit Topic Analysis for Cross-Lingual Document Matching. 1732–1740. 7 indexed citations

15.

Unger, Christina, et al.. (2013). A lemon lexicon for DBpedia. PUB – Publications at Bielefeld University (Bielefeld University). 103–108. 18 indexed citations

16.

McCrae, John P., et al.. (2013). Releasing multimodal data as Linguistic Linked Open Data: An experience report. PUB – Publications at Bielefeld University (Bielefeld University). 28(5). 44–52. 2 indexed citations

17.

McCrae, John P., Elena Montiel-Ponsoda, & Philipp Cimiano. (2012). Collaborative semantic editing of linked data lexica. Language Resources and Evaluation. 2619–2625. 11 indexed citations

18.

McCrae, John P., et al.. (2011). Combining statistical and semantic approaches to the translation of ontologies and taxonomies. PUB – Publications at Bielefeld University (Bielefeld University). 116–125. 11 indexed citations

19.

Buitelaar, Paul, Philipp Cimiano, John P. McCrae, Elena Montiel-Ponsoda, & Thierry Declerck. (2011). Ontology Lexicalisation: The lemon Perspective. UPM Digital Archive (Technical University of Madrid). 2(4). 295–307. 8 indexed citations

20.

McCrae, John P., et al.. (2010). CLOVA: An Architecture for Cross-Language Semantic Data Querying. PUB – Publications at Bielefeld University (Bielefeld University). 278(36). 5–12. 1 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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