Countries citing papers authored by Michael Mohler
Since
Specialization
Citations
This map shows the geographic impact of Michael Mohler'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 Michael Mohler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Mohler more than expected).
This network shows the impact of papers produced by Michael Mohler. 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 Michael Mohler. The network helps show where Michael Mohler may publish in the future.
Co-authorship network of co-authors of Michael Mohler
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Mohler.
A scholar is included among the top collaborators of Michael Mohler 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 Michael Mohler. Michael Mohler is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
15 of 15 papers shown
1.
Mohler, Michael, et al.. (2020). Modeling Procedural State Changes over Time with Probabilistic Soft Logic.. The Florida AI Research Society. 515–520.1 indexed citations
2.
Mohler, Michael, et al.. (2016). Introducing the LCC Metaphor Datasets.. Language Resources and Evaluation. 4221–4227.17 indexed citations
3.
Mohler, Michael, et al.. (2015). Populating a Knowledge Base with Information about Events.. Theory and applications of categories.3 indexed citations
4.
Mohler, Michael, Marc Tomlinson, & Bryan Rink. (2015). Cross-lingual Semantic Generalization for the Detection of Metaphor.. 6. 117–140.5 indexed citations
Mohler, Michael, Bryan Rink, David B. Bracewell, & Marc Tomlinson. (2014). A Novel Distributional Approach to Multilingual Conceptual Metaphor Recognition. International Conference on Computational Linguistics. 1752–1763.11 indexed citations
7.
Mohler, Michael, Marc Tomlinson, David B. Bracewell, & Bryan Rink. (2014). Semi-supervised methods for expanding psycholinguistics norms by integrating distributional similarity with the structure of WordNet. Language Resources and Evaluation. 3020–3026.6 indexed citations
Banea, Carmen, Yoonjung Choi, Lingjia Deng, et al.. (2013). CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge. 1. 221–228.1 indexed citations
10.
Mohler, Michael, et al.. (2013). Semantic Signatures for Example-Based Linguistic Metaphor Detection. 27–35.52 indexed citations
11.
Banea, Carmen, Samer Hassan, Michael Mohler, & Rada Mihalcea. (2012). UNT: A Supervised Synergistic Approach to Semantic Text Similarity. Joint Conference on Lexical and Computational Semantics. 1(7). 635–642.17 indexed citations
12.
Mohler, Michael, Răzvan Bunescu, & Rada Mihalcea. (2011). Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments. Meeting of the Association for Computational Linguistics. 752–762.189 indexed citations
Mohler, Michael & Rada Mihalcea. (2008). BABYLON Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages. Language Resources and Evaluation.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.