Naomi Harte

151 total papers · 4.7k total citations
98 papers, 3.2k citations indexed

About

Naomi Harte is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Naomi Harte has authored 98 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Signal Processing, 36 papers in Artificial Intelligence and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Naomi Harte's work include Speech and Audio Processing (61 papers), Speech Recognition and Synthesis (29 papers) and Music and Audio Processing (27 papers). Naomi Harte is often cited by papers focused on Speech and Audio Processing (61 papers), Speech Recognition and Synthesis (29 papers) and Music and Audio Processing (27 papers). Naomi Harte collaborates with scholars based in Ireland, United Kingdom and United States. Naomi Harte's co-authors include Rodrigo López, Emmanuel Quévillon, Rolf Apweiler, S. Pillai, Nicola Mulder, Andrew Hines, Anil Kokaram, Jan Skoglund, Finnian Kelly and Andrzej Drygajlo and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and IEEE Transactions on Image Processing.

In The Last Decade

Naomi Harte

90 papers receiving 3.1k citations

Hit Papers

InterProScan: protein dom... 2005 2026 2012 2019 2005 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Naomi Harte 1.4k 835 646 358 339 98 3.2k
Tijl De Bie 1.6k 1.2× 616 0.7× 349 0.5× 195 0.5× 700 2.1× 125 3.6k
Panu Somervuo 695 0.5× 773 0.9× 362 0.6× 443 1.2× 323 1.0× 103 2.7k
Zhenglu Yang 1.2k 0.8× 528 0.6× 136 0.2× 525 1.5× 664 2.0× 82 3.1k
Peter Meinicke 2.0k 1.4× 913 1.1× 152 0.2× 836 2.3× 177 0.5× 54 4.1k
Rosane Minghim 909 0.7× 284 0.3× 298 0.5× 186 0.5× 550 1.6× 100 3.3k
Shinichi Morishita 3.0k 2.1× 651 0.8× 274 0.4× 131 0.4× 465 1.4× 185 5.0k
Dirk Husmeier 1.5k 1.1× 371 0.4× 87 0.1× 286 0.8× 750 2.2× 131 3.6k
Jenny Bangham 945 0.7× 597 0.7× 452 0.7× 264 0.7× 131 0.4× 109 4.2k
Yifeng Li 2.1k 1.5× 295 0.4× 68 0.1× 223 0.6× 275 0.8× 194 3.8k
Yi Wang 341 0.2× 404 0.5× 494 0.8× 1.1k 3.0× 346 1.0× 80 3.2k

Countries citing papers authored by Naomi Harte

Since Specialization
Citations

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

Fields of papers citing papers by Naomi Harte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomi Harte

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

All Works

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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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