Ignatius Ezeani

409 total citations
12 papers, 36 citations indexed

About

Ignatius Ezeani is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Ignatius Ezeani has authored 12 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Information Systems. Recurrent topics in Ignatius Ezeani's work include Natural Language Processing Techniques (8 papers), Topic Modeling (5 papers) and Speech and dialogue systems (4 papers). Ignatius Ezeani is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (5 papers) and Speech and dialogue systems (4 papers). Ignatius Ezeani collaborates with scholars based in United Kingdom, Nigeria and United States. Ignatius Ezeani's co-authors include Mark Hepple, Scott Piao, Paul Rayson, Dawn Knight, Steven L. Neale, Jo Knight, K. Donnelly, Ian Gregory, Anthony G. Cohn and John G. Stell and has published in prestigious journals such as Language Resources and Evaluation, Library Hi Tech and ACM Transactions on Asian and Low-Resource Language Information Processing.

In The Last Decade

Ignatius Ezeani

10 papers receiving 32 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ignatius Ezeani United Kingdom 5 29 8 4 3 2 12 36
Sahib Singh United States 3 34 1.2× 6 0.8× 3 0.8× 2 1.0× 8 48
Laurence Bull Australia 2 17 0.6× 18 2.3× 3 0.8× 2 0.7× 1 0.5× 2 23
Raquel Fernández Netherlands 4 29 1.0× 3 0.4× 3 0.8× 1 0.3× 2 1.0× 11 38
Laurent Kirsch Luxembourg 4 10 0.3× 17 2.1× 3 0.8× 3 1.0× 9 24
Terrance Liu United States 3 25 0.9× 3 0.4× 4 1.0× 1 0.3× 1 0.5× 3 28
Daryna Dementieva Russia 5 51 1.8× 15 1.9× 2 0.5× 1 0.5× 18 62
Flavien Prost United States 2 10 0.3× 8 1.0× 4 1.0× 1 0.5× 2 14
Z. Liu China 2 11 0.4× 19 2.4× 2 0.5× 4 1.3× 3 25
Jesujoba O. Alabi Germany 4 23 0.8× 3 0.4× 3 0.8× 5 2.5× 13 30
Krishna Bhavsar India 1 44 1.5× 21 2.6× 2 0.5× 2 46

Countries citing papers authored by Ignatius Ezeani

Since Specialization
Citations

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

Fields of papers citing papers by Ignatius Ezeani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignatius Ezeani

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

All Works

12 of 12 papers shown
1.
Knight, Dawn, et al.. (2024). FreeTxt: A corpus-based bilingual free-text survey and questionnaire data analysis toolkit. ORCA Online Research @Cardiff (Cardiff University). 4(3). 100103–100103.
2.
Ezeani, Ignatius, Paul Rayson, Ian Gregory, et al.. (2023). Towards an Extensible Framework for Understanding Spatial Narratives. Research Explorer (The University of Manchester). 1–10.
3.
El‐Haj, Mahmoud, Matthew Coole, Ignatius Ezeani, et al.. (2020). Infrastructure for Semantic Annotation in the Genomics Domain. Language Resources and Evaluation. 6921–6929. 1 indexed citations
4.
Hepple, Mark, et al.. (2019). Toward an Effective Igbo Part-of-Speech Tagger. ACM Transactions on Asian and Low-Resource Language Information Processing. 18(4). 1–26. 5 indexed citations
5.
Piao, Scott, Steven L. Neale, Ignatius Ezeani, et al.. (2019). Open Welsh Language Resources for a Corpus Annotation Framework. Lancaster EPrints (Lancaster University). 1 indexed citations
6.
Ezeani, Ignatius, Scott Piao, Steven L. Neale, Paul Rayson, & Dawn Knight. (2019). Leveraging Pre-Trained Embeddings for Welsh Taggers. ORCA Online Research @Cardiff (Cardiff University). 270–280. 4 indexed citations
7.
Ezeani, Ignatius, et al.. (2018). Transferred Embeddings for Igbo Similarity, Analogy, and Diacritic Restoration Tasks. Lancaster EPrints (Lancaster University). 30–38. 5 indexed citations
8.
Hepple, Mark, et al.. (2018). A Basic Language Resource Kit Implementation for the Igbo NLP Project. ACM Transactions on Asian and Low-Resource Language Information Processing. 17(2). 1–23. 5 indexed citations
9.
Ezeani, Ignatius, et al.. (2018). Igbo Diacritic Restoration using Embedding Models. 54–60. 1 indexed citations
10.
Ezeani, Ignatius, et al.. (2017). Lexical Disambiguation of Igbo using Diacritic Restoration. 53–60. 2 indexed citations
11.
Hepple, Mark, et al.. (2015). Use of Transformation-Based Learning in Annotation Pipeline of Igbo, an African Language. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 24–33. 3 indexed citations
12.
Ezeani, Ignatius, et al.. (2011). Digital library deployment in a university. Library Hi Tech. 29(2). 373–386. 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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