Jim Hunter

1.7k total citations
33 papers, 766 citations indexed

About

Jim Hunter is a scholar working on Artificial Intelligence, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jim Hunter has authored 33 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Surgery and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jim Hunter's work include Speech and dialogue systems (8 papers), Semantic Web and Ontologies (8 papers) and Healthcare Technology and Patient Monitoring (8 papers). Jim Hunter is often cited by papers focused on Speech and dialogue systems (8 papers), Semantic Web and Ontologies (8 papers) and Healthcare Technology and Patient Monitoring (8 papers). Jim Hunter collaborates with scholars based in United Kingdom, Austria and Cyprus. Jim Hunter's co-authors include Ehud Reiter, Somayajulu Sripada, Jin Yu, Yvonne Freer, François Portet, Albert Gatt, Cindy Sykes, Neil McIntosh, Robert H. Logie and Chris Mellish and has published in prestigious journals such as Artificial Intelligence, International Journal of Human-Computer Studies and Early Human Development.

In The Last Decade

Jim Hunter

29 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jim Hunter United Kingdom 13 560 130 106 69 56 33 766
Taowei David Wang United States 8 203 0.4× 149 1.1× 387 3.7× 93 1.3× 63 1.1× 9 645
Krist Wongsuphasawat United States 14 282 0.5× 213 1.6× 587 5.5× 84 1.2× 83 1.5× 19 871
Alexander Rind Austria 15 205 0.4× 189 1.5× 478 4.5× 38 0.6× 73 1.3× 40 674
Francesco Pinciroli Italy 17 208 0.4× 72 0.6× 49 0.5× 172 2.5× 79 1.4× 114 936
Shoko Wakamiya Japan 15 213 0.4× 80 0.6× 55 0.5× 21 0.3× 81 1.4× 83 761
Anna Rumshisky United States 23 1.5k 2.6× 85 0.7× 152 1.4× 123 1.8× 96 1.7× 71 1.7k
Francisco Javier Díez Spain 13 445 0.8× 53 0.4× 31 0.3× 29 0.4× 49 0.9× 38 660
Dan Connolly United States 12 418 0.7× 46 0.4× 46 0.4× 37 0.5× 260 4.6× 17 718
Dominique Brodbeck Switzerland 11 179 0.3× 99 0.8× 281 2.7× 10 0.1× 80 1.4× 21 747

Countries citing papers authored by Jim Hunter

Since Specialization
Citations

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

Fields of papers citing papers by Jim Hunter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Hunter

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Hunter. A scholar is included among the top collaborators of Jim Hunter 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 Jim Hunter. Jim Hunter 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.
Jacob, G.L., Lars Eng, Stephen Hamann, et al.. (2023). High-throughput spatial light modulator based multi-beam laser marking system. 29–29.
2.
Portet, François, Albert Gatt, Ehud Reiter, et al.. (2008). Summarising complex ICU data in natural language: demonstration of the BT-45 system.. PubMed. 1225–1225. 1 indexed citations
3.
Portet, François, et al.. (2008). BabyTalk: A Core Architecture to Summarise ICU Data as Tailored Text. 1 indexed citations
4.
Meulen, Marian van der, Robert H. Logie, Yvonne Freer, et al.. (2008). When a graph is poorer than 100 words: A comparison of computerised natural language generation, human generated descriptions and graphical displays in neonatal intensive care. Applied Cognitive Psychology. 24(1). 77–89. 34 indexed citations
5.
Portet, François, Ehud Reiter, Albert Gatt, et al.. (2008). Automatic generation of textual summaries from neonatal intensive care data. Artificial Intelligence. 173(7-8). 789–816. 161 indexed citations
6.
Bellazzi, Riccardo, Ameen Abu‐Hanna, & Jim Hunter. (2007). Artificial Intelligence in Medicine: 11th Conference on Artificial Intelligence in Medicine in Europe, AIME 2007, Amsterdam, The Netherlands, July 7-11, ... / Lecture Notes in Artificial Intelligence). Springer eBooks. 1 indexed citations
7.
Portet, François, Feng Gao, Jim Hunter, & Somayajulu Sripada. (2007). Evaluation of On-Line Bradycardia Boundary Detectors from Neonatal Clinical Data. Conference proceedings. 2007. 3288–3291. 12 indexed citations
8.
Yu, Jin, Ehud Reiter, Jim Hunter, & Chris Mellish. (2006). Choosing the content of textual summaries of large time-series data sets. Natural Language Engineering. 13(1). 25–49. 59 indexed citations
9.
Miksch, Silvia, Jim Hunter, & Elpida Keravnou. (2005). Artificial Intelligence in Medicine: 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005, Proceedings (Lecture ... / Lecture Notes in Artificial Intelligence). Springer eBooks. 2 indexed citations
10.
Law, Anna S., Yvonne Freer, Jim Hunter, et al.. (2005). A Comparison of Graphical and Textual Presentations of Time Series Data to Support Medical Decision Making in the Neonatal Intensive Care Unit. Journal of Clinical Monitoring and Computing. 19(3). 183–194. 70 indexed citations
11.
Reiter, Ehud, et al.. (2005). Choosing words in computer-generated weather forecasts. Artificial Intelligence. 167(1-2). 137–169. 162 indexed citations
12.
Ewing, Gary B., et al.. (2003). Role and experience determine decision support interface requirements in a neonatal intensive care environment. Journal of Biomedical Informatics. 36(4-5). 240–249. 8 indexed citations
13.
Sripada, Somayajulu, Ehud Reiter, Jim Hunter, & Jin Yu. (2003). Exploiting a parallel TEXT - DATA corpus. 16 indexed citations
14.
Sripada, Somayajulu, Ehud Reiter, Jim Hunter, & Yu Jin. (2003). Generating English summaries of time series data using the Gricean maxims. 5 indexed citations
15.
Sripada, Somayajulu, Ehud Reiter, Jim Hunter, & Jin Yu. (2003). Generating English summaries of time series data using the Gricean maxims. 187–196. 31 indexed citations
16.
Freer, Yvonne, et al.. (2002). Mismatched concepts in a neonatal intensive care unit (NICU): further issues for computer decision support?. Journal of Clinical Monitoring and Computing. 17(7/8). 441–447. 4 indexed citations
17.
Dojat, Michel, Silvia Miksch, & Jim Hunter. (2000). Knowledge-based information management in intensive care and anesthesia. Artificial Intelligence in Medicine. 19(3). 185–187. 9 indexed citations
18.
Alberdi, Eugenio, et al.. (2000). Computerisation and Decision Making in Neonatal Intensive Care: A Cognitive Engineering Investigation. Journal of Clinical Monitoring and Computing. 16(2). 85–94. 14 indexed citations
19.
Hunter, Jim, et al.. (1999). Deriving Trends in Historical and Real-Time Continuously Sampled Medical Data. Journal of Intelligent Information Systems. 13(1-2). 47–71. 13 indexed citations
20.
Hunter, Jim. (1981). Programming—An introduction. Microelectronics Reliability. 21(3). 401–407. 7 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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