Hema Raghavan

1.1k total citations
27 papers, 670 citations indexed

About

Hema Raghavan is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Hema Raghavan has authored 27 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 10 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Hema Raghavan's work include Topic Modeling (9 papers), Natural Language Processing Techniques (9 papers) and Web Data Mining and Analysis (5 papers). Hema Raghavan is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (9 papers) and Web Data Mining and Analysis (5 papers). Hema Raghavan collaborates with scholars based in United States, United Kingdom and Japan. Hema Raghavan's co-authors include James Allan, Rosie Jones, Omid Madani, Dustin Hillard, Eren Manavoglu, Vittorio Castelli, Stefan Schroedl, Lu Wang, Claire Cardie and Yi Xing and has published in prestigious journals such as Journal of Machine Learning Research, Information Retrieval and ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Hema Raghavan

27 papers receiving 603 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hema Raghavan United States	16	486	244	95	64	59	27	670
Dmitry Pavlov United States	11	250 0.5×	254 1.0×	95 1.0×	58 0.9×	55 0.9×	16	487
Rahul Pandey United States	4	319 0.7×	222 0.9×	79 0.8×	27 0.4×	42 0.7×	11	465
Maheedhar Kolla Canada	5	300 0.6×	465 1.9×	138 1.5×	107 1.7×	72 1.2×	12	648
Justin Basilico United States	9	181 0.4×	279 1.1×	111 1.2×	35 0.5×	94 1.6×	14	432
Gordon Sun United States	12	422 0.9×	301 1.2×	124 1.3×	77 1.2×	74 1.3×	18	614
Bottyán Németh Hungary	6	268 0.6×	466 1.9×	222 2.3×	52 0.8×	102 1.7×	10	617
Shengxian Wan China	6	516 1.1×	378 1.5×	170 1.8×	29 0.5×	87 1.5×	6	704
Jiacheng Li China	9	586 1.2×	366 1.5×	159 1.7×	32 0.5×	66 1.1×	23	792
Ilya Markov Netherlands	12	256 0.5×	366 1.5×	118 1.2×	34 0.5×	113 1.9×	31	533
Cane Wing-ki Leung Hong Kong	12	250 0.5×	226 0.9×	73 0.8×	35 0.5×	47 0.8×	20	466

Countries citing papers authored by Hema Raghavan

Since Specialization

Citations

This map shows the geographic impact of Hema Raghavan'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 Hema Raghavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hema Raghavan more than expected).

Fields of papers citing papers by Hema Raghavan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hema Raghavan. 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 Hema Raghavan. The network helps show where Hema Raghavan may publish in the future.

Co-authorship network of co-authors of Hema Raghavan

This figure shows the co-authorship network connecting the top 25 collaborators of Hema Raghavan. A scholar is included among the top collaborators of Hema Raghavan 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 Hema Raghavan. Hema Raghavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Kim, Myunghwan, et al.. (2022). Fairness of Information Flow in Social Networks. ACM Transactions on Knowledge Discovery from Data. 17(6). 1–26. 3 indexed citations

2.

Shin, Kijung, et al.. (2018). Discovering Progression Stages in Trillion-Scale Behavior Logs. 1765–1774. 2 indexed citations

3.

Wang, Lu, Hema Raghavan, Claire Cardie, & Vittorio Castelli. (2014). Query-Focused Opinion Summarization for User-Generated Content. International Conference on Computational Linguistics. 1660–1669. 17 indexed citations

4.

Chaturvedi, Snigdha, Vittorio Castelli, Radu Florian, Ramesh Nallapati, & Hema Raghavan. (2014). Joint question clustering and relevance prediction for open domain non-factoid question answering. 503–514. 8 indexed citations

5.

Luo, Xiaoqiang, Hema Raghavan, Vittorio Castelli, Sameer Maskey, & Radu Florian. (2013). Finding What Matters in Questions. North American Chapter of the Association for Computational Linguistics. 878–887. 4 indexed citations

6.

Castelli, Vittorio, et al.. (2012). Distilling and exploring nuggets from a corpus. 1006–1006. 3 indexed citations

7.

Hillard, Dustin, et al.. (2011). The sum of its parts: reducing sparsity in click estimation with query segments. Information Retrieval. 14(3). 315–336. 24 indexed citations

8.

Raghavan, Hema, et al.. (2010). Probabilistic first pass retrieval for search advertising. 1019–1028. 5 indexed citations

9.

Hillard, Dustin, et al.. (2010). Improving ad relevance in sponsored search. 361–370. 66 indexed citations

10.

Xing, Yi, et al.. (2009). Discovering users' specific geo intention in web search. 481–490. 37 indexed citations

11.

Raghavan, Hema & Dustin Hillard. (2009). A relevance model based filter for improving ad quality. 762–763. 11 indexed citations

12.

Anastasakos, Tasos, et al.. (2009). A collaborative filtering approach to ad recommendation using the query-ad click graph. 1927–1930. 20 indexed citations

13.

Bekkerman, Ron, Hema Raghavan, James Allan, & Koji Eguchi. (2007). Interactive clustering of text collections according to a user-specified criterion. International Joint Conference on Artificial Intelligence. 684–689. 24 indexed citations

14.

Allan, James & Hema Raghavan. (2007). Tandem learning: a learning framework for document categorization. 1 indexed citations

15.

Raghavan, Hema, Omid Madani, & Rosie Jones. (2006). Active Learning with Feedback on Features and Instances. Journal of Machine Learning Research. 7(61). 1655–1686. 120 indexed citations

16.

Raghavan, Hema, Omid Madani, & Rosie Jones. (2005). InterActive feature selection. International Joint Conference on Artificial Intelligence. 841–846. 43 indexed citations

17.

Raghavan, Hema & James Allan. (2005). Matching inconsistently spelled names in automatic speech recognizer output for information retrieval. 451–458. 10 indexed citations

18.

Raghavan, Hema & James Allan. (2004). Proper names and their Spelling Variations in Automatic Speech Recognition output. 2 indexed citations

19.

Connell, Margaret E., Ao Feng, Giridhar Kumaran, et al.. (2004). UMass at TDT 2004. 26 indexed citations

20.

Allan, James & Hema Raghavan. (2002). Using part-of-speech patterns to reduce query ambiguity. 4 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.

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