Niall Rooney

51 total papers · 559 total citations
32 papers, 229 citations indexed

About

Niall Rooney is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Niall Rooney has authored 32 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 10 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in Niall Rooney's work include Neural Networks and Applications (7 papers), Text and Document Classification Technologies (6 papers) and Machine Learning and Data Classification (6 papers). Niall Rooney is often cited by papers focused on Neural Networks and Applications (7 papers), Text and Document Classification Technologies (6 papers) and Machine Learning and Data Classification (6 papers). Niall Rooney collaborates with scholars based in United Kingdom, Russia and United States. Niall Rooney's co-authors include David Patterson, Hui Wang, Fiona Browne, Chris Nugent, Maurice Mulvenna, Matthias Baumgarten, Elena Smirnova, Vanessa Robins, David Bell and Weiru Liu and has published in prestigious journals such as Pattern Recognition, Knowledge-Based Systems and Pattern Recognition Letters.

In The Last Decade

Niall Rooney

31 papers receiving 214 citations

Author Peers

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

Author						Papers	Cites
Niall Rooney	161	62	31	21	16	32	229
Zhao Xu	176 1.1×	42 0.7×	30 1.0×	31 1.5×	11 0.7×	39	318
Kristian Kersting	206 1.3×	41 0.7×	17 0.5×	32 1.5×	13 0.8×	26	300
Wei Song	135 0.8×	34 0.5×	24 0.8×	52 2.5×	11 0.7×	44	244
Jeongwhan Choi	82 0.5×	96 1.5×	16 0.5×	42 2.0×	18 1.1×	35	210
Ziyue Qiao	157 1.0×	36 0.6×	13 0.4×	43 2.0×	19 1.2×	23	225
Xueqiang Lv	125 0.8×	36 0.6×	14 0.5×	59 2.8×	16 1.0×	38	217
Yuqi Wang	150 0.9×	30 0.5×	13 0.4×	18 0.9×	15 0.9×	44	267
Christel Vrain	95 0.6×	27 0.4×	40 1.3×	28 1.3×	17 1.1×	20	182
Bo Peng	190 1.2×	40 0.6×	10 0.3×	35 1.7×	31 1.9×	25	297
Oleksii K. Tyshchenko	178 1.1×	64 1.0×	47 1.5×	47 2.2×	18 1.1×	31	320

Countries citing papers authored by Niall Rooney

Since Specialization

Citations

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

Fields of papers citing papers by Niall Rooney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niall Rooney

This figure shows the co-authorship network connecting the top 25 collaborators of Niall Rooney. A scholar is included among the top collaborators of Niall Rooney 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 Niall Rooney. Niall Rooney 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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