Christine Doran

32 total papers · 719 total citations
21 papers, 435 citations indexed

About

Christine Doran is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Computer Networks and Communications. According to data from OpenAlex, Christine Doran has authored 21 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 3 papers in Experimental and Cognitive Psychology and 2 papers in Computer Networks and Communications. Recurrent topics in Christine Doran's work include Natural Language Processing Techniques (15 papers), Speech and dialogue systems (11 papers) and Topic Modeling (10 papers). Christine Doran is often cited by papers focused on Natural Language Processing Techniques (15 papers), Speech and dialogue systems (11 papers) and Topic Modeling (10 papers). Christine Doran collaborates with scholars based in United States, United Kingdom and Netherlands. Christine Doran's co-authors include Srinivas Bachu, Raman Chandrasekar, Matthew Stone, Tonia Bleam, Martha Palmer, Bonnie Webber, Laurie Damianos, John Aberdeen, Lynette Hirschman and Samuel Bayer and has published in prestigious journals such as Computational Intelligence, ACM Transactions on Asian Language Information Processing and arXiv (Cornell University).

In The Last Decade

Christine Doran

21 papers receiving 371 citations

Author Peers

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

Author						Papers	Cites
Christine Doran	416	28	23	21	20	21	435
Bernd Kiefer	319 0.8×	35 1.3×	37 1.6×	10 0.5×	15 0.8×	34	386
Chung Hee Hwang	365 0.9×	22 0.8×	25 1.1×	19 0.9×	6 0.3×	16	396
Mats Wirén	302 0.7×	43 1.5×	28 1.2×	55 2.6×	38 1.9×	53	367
Beth Ann Hockey	337 0.8×	23 0.8×	14 0.6×	12 0.6×	12 0.6×	47	371
Giovanni B. Varile	279 0.7×	36 1.3×	9 0.4×	14 0.7×	11 0.6×	11	367
van Gerardus Noord	394 0.9×	63 2.3×	15 0.7×	14 0.7×	13 0.7×	24	446
Kay Peterson	308 0.7×	11 0.4×	15 0.7×	15 0.7×	21 1.1×	19	373
Colin Matheson	257 0.6×	30 1.1×	85 3.7×	71 3.4×	16 0.8×	22	408
Jeroen Geertzen	232 0.6×	59 2.1×	16 0.7×	50 2.4×	70 3.5×	23	423
Tsuneaki Kato	420 1.0×	20 0.7×	26 1.1×	11 0.5×	7 0.3×	42	475

Countries citing papers authored by Christine Doran

Since Specialization

Citations

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

Fields of papers citing papers by Christine Doran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Doran

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