Richard Tobin

2.2k total citations
51 papers, 1.2k citations indexed

About

Richard Tobin is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Richard Tobin has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 15 papers in Molecular Biology and 8 papers in Information Systems. Recurrent topics in Richard Tobin's work include Semantic Web and Ontologies (16 papers), Biomedical Text Mining and Ontologies (15 papers) and Topic Modeling (13 papers). Richard Tobin is often cited by papers focused on Semantic Web and Ontologies (16 papers), Biomedical Text Mining and Ontologies (15 papers) and Topic Modeling (13 papers). Richard Tobin collaborates with scholars based in United Kingdom, United States and Algeria. Richard Tobin's co-authors include Claire Grover, Beatrice Alex, Jon Oberlander, Kate Byrne, Padraic Monaghan, Keith Stenning, Richard Cox, Jean McKendree, Terry Mayes and Ewan Klein and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Richard Tobin

49 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Richard Tobin 653 216 191 157 144 51 1.2k
Gosse Bouma 1.3k 2.0× 117 0.5× 180 0.9× 69 0.4× 33 0.2× 115 1.8k
Gregory Grefenstette 1.7k 2.7× 177 0.8× 491 2.6× 54 0.3× 83 0.6× 72 2.3k
John Nerbonne 1.4k 2.2× 49 0.2× 97 0.5× 179 1.1× 41 0.3× 165 2.6k
Kenneth M. Ford 412 0.6× 38 0.2× 118 0.6× 163 1.0× 14 0.1× 63 1.2k
Wendy G. Lehnert 1.3k 2.0× 112 0.5× 428 2.2× 112 0.7× 11 0.1× 53 1.7k
Horacio Saggion 2.6k 4.0× 198 0.9× 359 1.9× 87 0.6× 11 0.1× 172 3.0k
Bill Kules 269 0.4× 29 0.1× 412 2.2× 47 0.3× 28 0.2× 30 932
Anne C. Rose 229 0.4× 52 0.2× 246 1.3× 44 0.3× 37 0.3× 67 1.2k
Torsten Zesch 1.6k 2.5× 124 0.6× 313 1.6× 74 0.5× 12 0.1× 117 1.8k
Claire Grover 1.7k 2.7× 469 2.2× 337 1.8× 28 0.2× 175 1.2× 103 2.2k

Countries citing papers authored by Richard Tobin

Since Specialization
Citations

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

Fields of papers citing papers by Richard Tobin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Tobin

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Tobin. A scholar is included among the top collaborators of Richard Tobin 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 Richard Tobin. Richard Tobin 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.
Guellil, Imane, Richard Tobin, Clare Llewellyn, et al.. (2024). Natural language processing for detecting adverse drug events: A systematic review protocol. SHILAP Revista de lepidopterología. 3. 67–67. 1 indexed citations
2.
Guellil, Imane, Richard Tobin, Clare Llewellyn, et al.. (2024). Natural language processing for detecting adverse drug events: A systematic review protocol. NIHR Open Research. 3. 67–67. 1 indexed citations
3.
Grover, Claire, Richard Tobin, Clare Llewellyn, et al.. (2024). Perceptions of Edinburgh: Capturing neighbourhood characteristics by clustering geoparsed local news. Information Processing & Management. 62(1). 103910–103910.
4.
Guellil, Imane, Richard Tobin, Clare Llewellyn, et al.. (2023). Natural language processing for detecting adverse drug events: A systematic review protocol. NIHR Open Research. 3. 67–67. 1 indexed citations
5.
Davidson, Emma, Claire Grover, Richard Tobin, et al.. (2023). Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports. Frontiers in Digital Health. 5. 1184919–1184919. 4 indexed citations
6.
Davidson, Emma, Michael T. C. Poon, Daniel Duma, et al.. (2021). The reporting quality of natural language processing studies: systematic review of studies of radiology reports. BMC Medical Imaging. 21(1). 142–142. 24 indexed citations
7.
Alex, Beatrice, et al.. (2020). Not a cute stroke: Analysis of Rule- and Neural Network-based Information Extraction Systems for Brain Radiology Reports. Edinburgh Research Explorer. 24–37. 13 indexed citations
8.
Alex, Beatrice, Claire Grover, Richard Tobin, et al.. (2019). Text mining brain imaging reports. Journal of Biomedical Semantics. 10(S1). 23–23. 24 indexed citations
9.
Sompel, Herbert Van de, et al.. (2016). Scholarly Context Adrift: Three out of Four URI References Lead to Changed Content. PLoS ONE. 11(12). e0167475–e0167475. 26 indexed citations
10.
Alex, Beatrice, Clare Llewellyn, Claire Grover, Jon Oberlander, & Richard Tobin. (2016). Homing in on Twitter users: Evaluating an Enhanced Geoparser for User Profile Locations. Language Resources and Evaluation. 3936–3944. 6 indexed citations
11.
Tobin, Richard, et al.. (2014). Extraction and analysis of referenced web links in large-scale scholarly articles. 451–452. 4 indexed citations
12.
Klein, Martin, Herbert Van de Sompel, Robert Sanderson, et al.. (2014). Scholarly Context Not Found: One in Five Articles Suffers from Reference Rot. PLoS ONE. 9(12). e115253–e115253. 91 indexed citations
13.
Potamianos, Gerasimos, Jean-Michel Renders, Claire Grover, et al.. (2011). A System for Synergistically Structuring News Content from Traditional Media and the Blogosphere. 2 indexed citations
14.
Grover, Claire, Richard Tobin, Beatrice Alex, & Kate Byrne. (2010). Edinburgh-LTG: TempEval-2 System Description. Edinburgh Research Explorer (University of Edinburgh). 333–336. 19 indexed citations
15.
Grover, Claire, et al.. (2008). Named Entity Recognition for Digitised Historical Texts.. Language Resources and Evaluation. 27 indexed citations
16.
Alex, Beatrice, Claire Grover, Barry Haddow, et al.. (2008). Automating curation using a natural language processing pipeline. Genome Biology. 9(Suppl 2). S10–S10. 14 indexed citations
17.
Grover, Claire & Richard Tobin. (2006). Rule-Based Chunking and Reusability. Language Resources and Evaluation. 873–878. 31 indexed citations
18.
Grover, Claire, Harry Halpin, Ewan Klein, et al.. (2004). A Framework for Text Mining Services. 7 indexed citations
19.
Choy, Susan P., et al.. (2001). The Condition of Education 2001. NCES 2001-072.. National Center for Education Statistics. 47 indexed citations
20.
Oberlander, Jon, et al.. (1997). Intelligence and Multimodality in Multimedia Interfaces: Research and Applications. National Conference on Artificial Intelligence. 23 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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