James Mayfield

2.9k citations
88 papers · 1.4k indexed · h-index 20

James Mayfield

82 papers receiving 1.2k citations

Peers

James Mayfield
Comparison fields: 5 of 75
  • Artificial Intelligence 1.2k
  • Information Systems 416
  • Management Science and Operations Research 162
  • Signal Processing 86
  • Computer Networks and Communications 123
Replace Giuseppe Rizzo with:
Giuseppe Rizzo Italy
Clare R. Voss United States
Bruce Croft United States
Ian Niles United States
Massimiliano Ciaramita United States
Bernardo Magnini Italy
Olga Vechtomova Canada
Deepak Ravichandran United States
Steven M. Beitzel United States
Aitor Soroa Spain
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Citations per field
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Giuseppe Rizzo · 1×
Citations per year

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).

Fields of papers citing papers by James Mayfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside James Mayfield, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James Mayfield Line = papers co-authored together James Mayfield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20246
3 20241
4 20221
5
Building OCR/NER Test Collections
20200
6
Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages
20202
7 201815
8
Overview of TAC-KBP2017 13 Languages Entity Discovery and Linking.
201721
9
Creating and Curating a Cross-Language Person-Entity Linking Collection
20121
10
Learning Named Entity Hyponyms for Question Answering
200821
11
N-Gram Morphemes for Retrieval
20077
12
The HAIRCUT information retrieval system
20052
13
QACTIS-based Question Answering at TREC 2005.
20054
14
Question Answering with QACTIS at TREC-2004
20042
15
Haircut: a system for multilingual text retrieval in java
20023
16
JHU/APL at TREC 2001: Experiments in Filtering and in Arabic, Video, and Web Retrieval
200127
17
The HAIRCUT System at TREC-9.
20007
18
The JHU/APL HAIRCUT System at TREC-8.
199919
19
Desiderata for Agent Communication Languages
199517
20
Secret Agents - - A Security Architecture for the KQML
19956

About James Mayfield

James Mayfield is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Management Information Systems and Computer Networks and Communications, having authored 88 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (51 papers), Natural Language Processing Techniques (49 papers), Semantic Web and Ontologies (23 papers), Information Retrieval and Search Behavior (16 papers), Data Quality and Management (15 papers), Multi-Agent Systems and Negotiation (9 papers), Biomedical Text Mining and Ontologies (8 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Information Systems (416 citations), Management Science and Operations Research (162 citations), Signal Processing (86 citations) and Computer Networks and Communications (123 citations). James Mayfield has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Paul McNamee, Tim Finin, Christine Piatko, Jonathan Weese, Lushan Han, Charles Nicholas, Douglas W. Oard, Dawn Lawrie, Cash Costello and David Doermann. Their work appears in journals such as Theory and applications of categories, Language Resources and Evaluation, Artificial Intelligence Review, The Knowledge Engineering Review and Johns Hopkins APL technical digest.

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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