Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Citations per year, relative to Nikhil Dinesh Nikhil Dinesh (= 1×)
peers
Lori Levin
Countries citing papers authored by Nikhil Dinesh
Since
Specialization
Citations
This map shows the geographic impact of Nikhil Dinesh'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 Nikhil Dinesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil Dinesh more than expected).
This network shows the impact of papers produced by Nikhil Dinesh. 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 Nikhil Dinesh. The network helps show where Nikhil Dinesh may publish in the future.
Co-authorship network of co-authors of Nikhil Dinesh
This figure shows the co-authorship network connecting the top 25 collaborators of Nikhil Dinesh.
A scholar is included among the top collaborators of Nikhil Dinesh 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 Nikhil Dinesh. Nikhil Dinesh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
17 of 17 papers shown
1.
Chaudhri, Vinay K., et al.. (2015). Three Lessons for Creating a Knowledge Base to Enable Explanation, Reasoning and Dialog.1 indexed citations
2.
Chaudhri, Vinay K., Nikhil Dinesh, & Stijn Heymans. (2014). Representing Roles in a Biology Textbook..1 indexed citations
3.
Chaudhri, Vinay K., et al.. (2013). Three Lessons in Creating a Knowledge Base to Enable Reasoning, Explanation and Dialog.. 7–26.1 indexed citations
4.
Kow, Eric, et al.. (2012). Natural Language Generation for a Smart Biology Textbook. 125–127.1 indexed citations
5.
Dinesh, Nikhil, Aravind K. Joshi, & Insup Lee. (2011). Computing Logical Form on Regulatory Texts. 1202–1212.
6.
Joshi, Aravind K., Insup Lee, & Nikhil Dinesh. (2010). Regulatory conformance checking: logic and logical form.1 indexed citations
Prasad, Rashmi, Eleni Miltsakaki, Nikhil Dinesh, et al.. (2006). The Penn Discourse TreeBank 1.0 Annotation Manual. Scholarly Commons (University of Pennsylvania).119 indexed citations
10.
Lee, Alan, Rashmi Prasad, Aravind K. Joshi, Nikhil Dinesh, & Bonnie Webber. (2006). Complexity of Dependencies in Discourse: Are Dependencies in Discourse More Complex than in Syntax?.21 indexed citations
11.
Dinesh, Nikhil, Aravind K. Joshi, Inseop Lee, & Bonnie Webber. (2006). Extracting formal specifications from natural language regulatory documents.8 indexed citations
Prasad, Rashmi, Nikhil Dinesh, Alan Lee, Aravind K. Joshi, & Bonnie Webber. (2006). Attribution and its Annotation in the Penn Discourse TreeBank. 47(2). 43–64.29 indexed citations
14.
Dinesh, Nikhil, Alan Lee, Eleni Miltsakaki, et al.. (2005). Proceedings of the Workshop on Frontiers in Corpus Annotations II: Pie in the Sky. Meeting of the Association for Computational Linguistics.1 indexed citations
Miltsakaki, Eleni, Nikhil Dinesh, Rashmi Prasad, Aravind K. Joshi, & Bonnie Webber. (2005). Proceedings of the Fourth Workshop on Treebanks and Linguistic Theories.4 indexed citations
17.
Miltsakaki, Eleni, Nikhil Dinesh, Rashmi Prasad, Aravind K. Joshi, & Bonnie Webber. (2005). Experiments on Sense Annotations and Sense Disambiguation of Discourse Connectives.48 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.