Jon Curtis

473 total citations
11 papers, 239 citations indexed

About

Jon Curtis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jon Curtis has authored 11 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Jon Curtis's work include Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Semantic Web and Ontologies (3 papers). Jon Curtis is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Semantic Web and Ontologies (3 papers). Jon Curtis collaborates with scholars based in United Kingdom, Australia and Austria. Jon Curtis's co-authors include Hans Lehrach, Sebastian Meier‐Ewert, David Baxter, John Cabral, Michael Witbrock, Cynthia Matuszek, David Schneider, Omar Javed, Alex Hauptmann and Subhabrata Bhattacharya and has published in prestigious journals such as Nature, Bioresource Technology and Scientific Reports.

In The Last Decade

Jon Curtis

11 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jon Curtis United Kingdom	6	122	87	28	24	20	11	239
Roy Varshavsky Israel	4	188 1.5×	53 0.6×	37 1.3×	19 0.8×	14 0.7×	4	309
Favorisen Rosyking Lumbanraja Indonesia	7	119 1.0×	65 0.7×	22 0.8×	8 0.3×	35 1.8×	43	247
Chirag Jain United States	8	163 1.3×	53 0.6×	25 0.9×	25 1.0×	6 0.3×	18	226
Jan Holub Czechia	10	128 1.0×	164 1.9×	13 0.5×	16 0.7×	16 0.8×	33	256
Stefan Burkhardt Germany	8	232 1.9×	273 3.1×	35 1.3×	23 1.0×	19 0.9×	14	411
Antonino Fiannaca Italy	14	338 2.8×	54 0.6×	14 0.5×	19 0.8×	6 0.3×	37	471
Emre Sefer Türkiye	12	122 1.0×	32 0.4×	34 1.2×	16 0.7×	7 0.3×	35	307
Mani Abedini Australia	8	31 0.3×	125 1.4×	30 1.1×	11 0.5×	11 0.6×	18	213
Avdesh Mishra United States	11	232 1.9×	33 0.4×	19 0.7×	9 0.4×	12 0.6×	22	323
Taher Hamza Egypt	8	78 0.6×	101 1.2×	49 1.8×	15 0.6×	63 3.1×	33	284

Countries citing papers authored by Jon Curtis

Since Specialization

Citations

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

Fields of papers citing papers by Jon Curtis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Curtis

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

All Works

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11 of 11 papers shown

1.

Lehrach, Hans, Jon Curtis, Bodo Lange, et al.. (2022). Proposal of a population wide genome-based testing for Covid-19. Scientific Reports. 12(1). 5618–5618. 4 indexed citations

2.

Liu, Jingen, Hui Cheng, Omar Javed, et al.. (2013). SRI-Sarnoff AURORA System at TRECVID 2013 Multimedia Event Detection and Recounting.. TRECVID. 5 indexed citations

3.

Cheng, Hui, Jingen Liu, Saad Ali, et al.. (2012). SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting.. Journal of International Crisis and Risk Communication Research. 14 indexed citations

4.

Cheng, Hui, Amir Tamrakar, Saad Ali, et al.. (2011). Team SRI-Sarnoff 's AURORA System @ TRECVID 2011. Journal of International Crisis and Risk Communication Research. 3 indexed citations

5.

Curtis, Jon, et al.. (2009). Methods of Rule Acquisition in the TextLearner System.. National Conference on Artificial Intelligence. 22–28. 5 indexed citations

6.

Curtis, Jon, John Cabral, & David Baxter. (2006). On the Application of the Cyc Ontology to Word Sense Disambiguation.. The Florida AI Research Society. 21(3). 652–657. 23 indexed citations

7.

Schneider, David, Cynthia Matuszek, David Baxter, et al.. (2006). Automated Population of Cyc: Extracting Information about Namedentities from the Web. Maryland Shared Open Access Repository (USMAI Consortium). 153–158. 21 indexed citations

8.

Curtis, Jon, et al.. (2005). On the Effective Use of Cyc in a Question Answering System. Bioresource Technology. 203. 18–25. 30 indexed citations

9.

O’Hara, Tom, et al.. (2004). Inferring parts of speech for lexical mappings via the Cyc KB. 1305–es. 3 indexed citations

10.

Meier‐Ewert, Sebastian, et al.. (1994). Application of robotic technology to automated sequence fingerprint analysis by oligonucleotide hybridisation. Journal of Biotechnology. 35(2-3). 191–203. 51 indexed citations

11.

Meier‐Ewert, Sebastian, et al.. (1993). An automated approach to generating expressed sequence catalogues. Nature. 361(6410). 375–376. 80 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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