Countries citing papers authored by Rohini K. Srihari
Since
Specialization
Citations
This map shows the geographic impact of Rohini K. Srihari'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 Rohini K. Srihari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohini K. Srihari more than expected).
Fields of papers citing papers by Rohini K. Srihari
This network shows the impact of papers produced by Rohini K. Srihari. 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 Rohini K. Srihari. The network helps show where Rohini K. Srihari may publish in the future.
Co-authorship network of co-authors of Rohini K. Srihari
This figure shows the co-authorship network connecting the top 25 collaborators of Rohini K. Srihari.
A scholar is included among the top collaborators of Rohini K. Srihari 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 Rohini K. Srihari. Rohini K. Srihari is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ghosh, Debanjan, et al.. (2011). Using Sequence Kernels to identify Opinion Entities in Urdu. 58–67.5 indexed citations
6.
Ghosh, Debanjan, et al.. (2010). Using Cross-Lingual Projections to Generate Semantic Role Labeled Annotated Corpus for Urdu - A Resource Poor Language. International Conference on Computational Linguistics. 797–805.6 indexed citations
7.
Srinivasan, Harish, John Chen, & Rohini K. Srihari. (2009). Cross document person name disambiguation using entity profiles.. Theory and applications of categories.7 indexed citations
8.
Srihari, Rohini K., et al.. (2007). Information extraction for multi-participant, task-oriented, synchronous, computer-mediated communication: A corpus study of chat data.1 indexed citations
9.
Srihari, Sargur N., et al.. (2007). On the automatic scoring of handwritten essays. International Joint Conference on Artificial Intelligence. 2880–2884.7 indexed citations
10.
Chesley, Paula, et al.. (2006). Using Verbs and Adjectives to Automatically Classify Blog Sentiment.. National Conference on Artificial Intelligence. 27–29.140 indexed citations
11.
Ruiz, Miguel E., Munirathnam Srikanth, & Rohini K. Srihari. (2004). UB at TREC 13: Genomics Track.. Text REtrieval Conference.
12.
Niu, Cheng, et al.. (2004). Context clustering for Word Sense Disambiguation based on modeling pairwise context similarities. Meeting of the Association for Computational Linguistics. 187–190.8 indexed citations
13.
Xiaoyun, Wu & Rohini K. Srihari. (2003). New ν-support vector machines and their sequential minimal optimization. International Conference on Machine Learning. 824–831.10 indexed citations
14.
Srikanth, Munirathnam, Wu Xiaoyun, & Rohini K. Srihari. (2002). UB at TREC 11: Batch and Adaptive Filtering.. Text REtrieval Conference.2 indexed citations
15.
Srihari, Rohini K. & Zhongfei Zhang. (1999). Exploiting Multimodal Context in Image Retrieval. Library trends. 48(2). 496–520.3 indexed citations
16.
Chopra, Rajiv & Rohini K. Srihari. (1995). Control structures for incorporating picture-specific context in image interpretation. International Joint Conference on Artificial Intelligence. 50–55.10 indexed citations
17.
Srihari, Rohini K., et al.. (1994). Use of Collateral Text in Image Interpretation.6 indexed citations
Srihari, S., et al.. (1992). Document Understanding: Research Directions.3 indexed citations
20.
Srihari, Rohini K.. (1991). PICTION: a system that uses captions to label human faces in newspaper photographs. National Conference on Artificial Intelligence. 80–85.22 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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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.