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.
Countries citing papers authored by Apoorv Agarwal
Since
Specialization
Citations
This map shows the geographic impact of Apoorv Agarwal'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 Apoorv Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apoorv Agarwal more than expected).
This network shows the impact of papers produced by Apoorv Agarwal. 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 Apoorv Agarwal. The network helps show where Apoorv Agarwal may publish in the future.
Co-authorship network of co-authors of Apoorv Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Apoorv Agarwal.
A scholar is included among the top collaborators of Apoorv Agarwal 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 Apoorv Agarwal. Apoorv Agarwal is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Agarwal, Apoorv, et al.. (2015). Internet of Things and its enhanced data security. International Journal of Engineering and Applied Sciences (IJEAS). 2(2). 257986.3 indexed citations
Agarwal, Apoorv, et al.. (2014). An Error Analysis Tool for Natural Language Processing and Applied Machine Learning. International Conference on Computational Linguistics. 1–5.1 indexed citations
Agarwal, Apoorv, et al.. (2013). Automatic Extraction of Social Networks from Literary Text: A Case Study on Alice in Wonderland. International Joint Conference on Natural Language Processing. 1202–1208.37 indexed citations
13.
Agarwal, Apoorv, et al.. (2013). SINNET: Social Interaction Network Extractor from Text. 33–36.9 indexed citations
14.
Agarwal, Apoorv, et al.. (2012). Social Network Analysis of Alice in Wonderland. North American Chapter of the Association for Computational Linguistics. 88–96.47 indexed citations
15.
Patwardhan, Siddharth, Branimir Boguraev, Apoorv Agarwal, Alessandro Moschitti, & Jennifer Chu‐Carroll. (2012). Labeling by landscaping. Institutional Research Information System (Università degli Studi di Trento). 1133–1142.1 indexed citations
16.
Agarwal, Apoorv, et al.. (2012). Attendre. 137–138.1 indexed citations
17.
Agarwal, Apoorv. (2011). Social Network Extraction from Texts: A Thesis Proposal. Meeting of the Association for Computational Linguistics. 111–116.1 indexed citations
Agarwal, Apoorv, Owen Rambow, & Rebecca J. Passonneau. (2010). Annotation Scheme for Social Network Extraction from Text. 20–28.13 indexed citations
20.
Agarwal, Apoorv & Owen Rambow. (2010). Automatic Detection and Classification of Social Events. Empirical Methods in Natural Language Processing. 1024–1034.25 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.