Countries citing papers authored by Elijah Mayfield
Since
Specialization
Citations
This map shows the geographic impact of Elijah 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 Elijah Mayfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elijah Mayfield more than expected).
This network shows the impact of papers produced by Elijah 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 Elijah Mayfield. The network helps show where Elijah Mayfield may publish in the future.
Co-authorship network of co-authors of Elijah Mayfield
This figure shows the co-authorship network connecting the top 25 collaborators of Elijah Mayfield.
A scholar is included among the top collaborators of Elijah 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 Elijah Mayfield. Elijah Mayfield 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.
Jo, Yohan, Elijah Mayfield, Chris Reed, & Eduard Hovy. (2020). Machine-Aided Annotation for Fine-Grained Proposition Types in Argumentation. Language Resources and Evaluation. 1008–1018.4 indexed citations
2.
Mayfield, Elijah, et al.. (2020). Why Attention is Not Explanation: Surgical Intervention and Causal Reasoning about Neural Models.. Language Resources and Evaluation. 1780–1790.12 indexed citations
Mayfield, Elijah, et al.. (2018). Trustworthy Automated Essay Scoring without Explicit Construct Validity.. National Conference on Artificial Intelligence.9 indexed citations
7.
Howley, Iris, Elijah Mayfield, & Carolyn Penstein Rosé. (2018). Missing Something? Authority in Collaborative Learning. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1. 336.2 indexed citations
8.
Pan, Shimei, Elijah Mayfield, Jie Lü, & Jennifer C. Lai. (2015). Signals of Expertise in Public and Enterprise Social Q&A. 670–673.1 indexed citations
9.
Mayfield, Elijah, G. David Adamson, & Carolyn Penstein Rosé. (2013). Recognizing Rare Social Phenomena in Conversation: Empowerment Detection in Support Group Chatrooms. Meeting of the Association for Computational Linguistics. 104–113.4 indexed citations
Mayfield, Elijah, G. David Adamson, & Carolyn Penstein Rosé. (2012). Hierarchical Conversation Structure Prediction in Multi-Party Chat. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 60–69.22 indexed citations
12.
Wang, William Yang, Elijah Mayfield, Suresh Naidu, & Jeremiah Dittmar. (2012). Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 740–749.17 indexed citations
Mayfield, Elijah & Carolyn Penstein Rosé. (2011). Recognizing Authority in Dialogue with an Integer Linear Programming Constrained Model. Meeting of the Association for Computational Linguistics. 1018–1026.21 indexed citations
17.
Mayfield, Elijah, et al.. (2011). Data-Driven Interaction Patterns: Authority and Information Sharing in Dialogue.4 indexed citations
18.
Mayfield, Elijah & Carolyn Penstein Rosé. (2010). An Interactive Tool for Supporting Error Analysis for Text Mining. North American Chapter of the Association for Computational Linguistics. 25–28.28 indexed citations
19.
Mayfield, Elijah, et al.. (2010). Sentiment Classification using Automatically Extracted Subgraph Features. North American Chapter of the Association for Computational Linguistics. 131–139.23 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.