Countries citing papers authored by James Mayfield
Since
Specialization
Citations
This map shows the geographic impact of James Mayfield'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 James Mayfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Mayfield more than expected).
This network shows the impact of papers produced by James Mayfield. 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 James Mayfield. The network helps show where James Mayfield may publish in the future.
Co-authorship network of co-authors of James Mayfield
This figure shows the co-authorship network connecting the top 25 collaborators of James Mayfield.
A scholar is included among the top collaborators of James Mayfield 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 James Mayfield. James Mayfield is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lawrie, Dawn, et al.. (2020). Building OCR/NER Test Collections. Language Resources and Evaluation. 4639–4646.
6.
Costello, Cash, et al.. (2020). Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages. Language Resources and Evaluation. 6983–6987.2 indexed citations
Ji, Heng, Xiaoman Pan, Boliang Zhang, et al.. (2017). Overview of TAC-KBP2017 13 Languages Entity Discovery and Linking.. Theory and applications of categories.21 indexed citations
9.
Lawrie, Dawn, James Mayfield, Paul McNamee, & Douglas W. Oard. (2012). Creating and Curating a Cross-Language Person-Entity Linking Collection. Language Resources and Evaluation. 3106–3110.1 indexed citations
10.
McNamee, Paul, Rion Snow, Patrick Schone, & James Mayfield. (2008). Learning Named Entity Hyponyms for Question Answering. International Joint Conference on Natural Language Processing. 799–804.21 indexed citations
11.
McNamee, Paul & James Mayfield. (2007). N-Gram Morphemes for Retrieval. CLEF (Working Notes).7 indexed citations
12.
Mayfield, James & Paul McNamee. (2005). The HAIRCUT information retrieval system. Johns Hopkins APL technical digest. 26(1). 2–14.2 indexed citations
13.
Schone, Patrick, et al.. (2005). QACTIS-based Question Answering at TREC 2005.. Text REtrieval Conference.4 indexed citations
14.
Schone, Patrick, et al.. (2004). Question Answering with QACTIS at TREC-2004. Text REtrieval Conference.2 indexed citations
15.
McNamee, Paul, James Mayfield, & Christine Piatko. (2002). Haircut: a system for multilingual text retrieval in java. Journal of computing sciences in colleges. 17(3). 8–22.3 indexed citations
16.
Mayfield, James, Paul McNamee, Cash Costello, Christine Piatko, & Amit Banerjee. (2001). JHU/APL at TREC 2001: Experiments in Filtering and in Arabic, Video, and Web Retrieval. Text REtrieval Conference.27 indexed citations
17.
McNamee, Paul, James Mayfield, & Christine Piatko. (2000). The HAIRCUT System at TREC-9.. Text REtrieval Conference.7 indexed citations
18.
Mayfield, James, Paul McNamee, & Christine Piatko. (1999). The JHU/APL HAIRCUT System at TREC-8.. Text REtrieval Conference.19 indexed citations
19.
Mayfield, James, Yannis Labrou, & Tim Finin. (1995). Desiderata for Agent Communication Languages. 96(4-5). 176–8.17 indexed citations
20.
Finin, Tim, et al.. (1995). Secret Agents - - A Security Architecture for the KQML.6 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.