This map shows the geographic impact of Mark Carman'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 Mark Carman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Carman more than expected).
This network shows the impact of papers produced by Mark Carman. 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 Mark Carman. The network helps show where Mark Carman may publish in the future.
Co-authorship network of co-authors of Mark Carman
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Carman.
A scholar is included among the top collaborators of Mark Carman 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 Mark Carman. Mark Carman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Joshi, Aditya, et al.. (2018). Sarcasm Target Identification: Dataset and An Introductory Approach. Language Resources and Evaluation.8 indexed citations
4.
Kanojia, Diptesh, Aditya Joshi, Pushpak Bhattacharyya, & Mark Carman. (2016). That'll do fine! A coarse lexical resource for English-Hindi MT, using polylingual topic models. Language Resources and Evaluation. 2199–2203.2 indexed citations
5.
Jin, Yuan, Mark Carman, & Lexing Xie. (2016). A little competition never hurt anyone's relevance assessments. Own your potential (DEAKIN).2 indexed citations
Joshi, Aditya, Vaibhav Tripathi, Ravindra Soni, Pushpak Bhattacharyya, & Mark Carman. (2016). EmoGram: An Open-Source Time Sequence-Based Emotion Tracker and Its Innovative Applications. National Conference on Artificial Intelligence. 512–516.8 indexed citations
Kanojia, Diptesh, Aditya Joshi, Pushpak Bhattacharyya, & Mark Carman. (2015). Using Multilingual Topic Models for Improved Alignment in English-Hindi MT. 308–315.1 indexed citations
12.
Carman, Mark, et al.. (2014). Improving Scalability and Performance of Random Forest Based Learning-to-Rank Algorithms by Aggressive Subsampling.. Monash University Research Portal (Monash University). 91–99.4 indexed citations
Gerani, Shima, et al.. (2010). University of Lugano at TREC 2010. Text REtrieval Conference.4 indexed citations
15.
Carman, Mark, et al.. (2010). Piloted search and recommendation with social tag cloud-based navigation. Solent University Research Portal (Solent University).
16.
Carman, Mark, Robert Gwadera, Shima Gerani, et al.. (2009). University of Lugano at TREC 2009 Blog Track. Text REtrieval Conference.2 indexed citations
Gerani, Shima, et al.. (2008). University of Lugano at TREC 2008 Blog Track. View.5 indexed citations
19.
Carman, Mark & Craig A. Knoblock. (2007). Learning semantic descriptions of web information sources. International Joint Conference on Artificial Intelligence. 2695–2700.10 indexed citations
20.
Carman, Mark & Craig A. Knoblock. (2005). Inducing Source Descriptions for Automated Web Service Composition. National Conference on Artificial Intelligence.1 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.