Prithviraj Sen

5.2k total citations · 1 hit paper
37 papers, 2.9k citations indexed

About

Prithviraj Sen is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Prithviraj Sen has authored 37 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 7 papers in Computer Networks and Communications. Recurrent topics in Prithviraj Sen's work include Topic Modeling (14 papers), Data Quality and Management (8 papers) and Natural Language Processing Techniques (8 papers). Prithviraj Sen is often cited by papers focused on Topic Modeling (14 papers), Data Quality and Management (8 papers) and Natural Language Processing Techniques (8 papers). Prithviraj Sen collaborates with scholars based in United States, United Kingdom and India. Prithviraj Sen's co-authors include Lise Getoor, Brian Gallagher, Mustafa Bilgic, Galileo Namata, Tina Eliassi‐Rad, Amol Deshpande, Kun Qian, Berthold Reinwald, Matthias Böehm and Shirish Tatikonda and has published in prestigious journals such as Proceedings of the VLDB Endowment, Data Mining and Knowledge Discovery and The VLDB Journal.

In The Last Decade

Prithviraj Sen

37 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

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.

Collective Classification in Network Data

2008 1.8k citations Prithviraj Sen, Galileo Namata et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prithviraj Sen United States	18	2.3k	745	543	511	504	37	2.9k
Danai Koutra United States	22	2.0k 0.9×	1.2k 1.7×	592 1.1×	793 1.6×	516 1.0×	93	3.0k
Yuanyuan Tian United States	20	954 0.4×	404 0.5×	1.0k 1.8×	1.0k 2.0×	984 2.0×	57	2.4k
Peixiang Zhao United States	17	970 0.4×	555 0.7×	551 1.0×	411 0.8×	425 0.8×	33	1.6k
Glen Jeh United States	7	1.3k 0.6×	1.0k 1.4×	404 0.7×	427 0.8×	902 1.8×	7	2.3k
Bimal Viswanath United States	19	1.8k 0.8×	988 1.3×	319 0.6×	1.1k 2.2×	1.2k 2.3×	33	3.3k
Andrej Krevl Slovenia	3	767 0.3×	947 1.3×	527 1.0×	577 1.1×	284 0.6×	4	1.8k
Silvio Lattanzi United States	18	701 0.3×	646 0.9×	346 0.6×	530 1.0×	321 0.6×	65	1.5k
Neil Zhenqiang Gong United States	32	2.4k 1.0×	356 0.5×	320 0.6×	691 1.4×	993 2.0×	93	3.2k
Lijun Chang Australia	29	1.2k 0.5×	753 1.0×	950 1.7×	1.1k 2.2×	438 0.9×	102	2.5k
Jason D. M. Rennie United States	12	1.8k 0.8×	320 0.4×	478 0.9×	295 0.6×	993 2.0×	19	2.6k

Countries citing papers authored by Prithviraj Sen

Since Specialization

Citations

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

Fields of papers citing papers by Prithviraj Sen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prithviraj Sen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Sen, Prithviraj, Michiaki Tatsubori, Achille Fokoue, et al.. (2023). Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. 6764–6776. 3 indexed citations

2.

Yao, Bingsheng, Prithviraj Sen, Lucian Popa, James Hendler, & Dakuo Wang. (2023). Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations. 14698–14713. 1 indexed citations

3.

Sen, Prithviraj, et al.. (2022). Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. 3863–3875. 2 indexed citations

4.

Sen, Prithviraj, et al.. (2022). Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8212–8219. 19 indexed citations

5.

Li, Irene, Prithviraj Sen, Huaiyu Zhu, Yunyao Li, & Dragomir Radev. (2021). Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting. 1–7. 2 indexed citations

6.

Sen, Prithviraj, Marina Danilevsky, Yunyao Li, et al.. (2020). Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification. 4211–4221. 6 indexed citations

7.

Danilevsky, Marina, Kun Qian, Ranit Aharonov, et al.. (2020). A Survey of the State of Explainable AI for Natural Language Processing. 447–459. 103 indexed citations

8.

Kandogan, Eser, et al.. (2019). A Study on Interaction in Human-in-the-Loop Machine Learning for Text Analytics.. 9 indexed citations

9.

Qian, Kun, Lucian Popa, & Prithviraj Sen. (2019). SystemER. Proceedings of the VLDB Endowment. 12(12). 1794–1797. 17 indexed citations

10.

Böehm, Matthias, et al.. (2017). SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning.. Conference on Innovative Data Systems Research. 22 indexed citations

11.

Qian, Kun, Lucian Popa, & Prithviraj Sen. (2017). Active Learning for Large-Scale Entity Resolution. 1379–1388. 47 indexed citations

12.

Chen, Xilun, Laura Chiticariu, Marina Danilevsky, Alexandre Evfimievski, & Prithviraj Sen. (2017). A Rectangle Mining Method for Understanding the Semantics of Financial Tables. 268–273. 8 indexed citations

13.

Böehm, Matthias, Michael W. Dusenberry, Alexandre Evfimievski, et al.. (2016). SystemML. Proceedings of the VLDB Endowment. 9(13). 1425–1436. 115 indexed citations

14.

Böhm, Matthias, Douglas Burdick, Alexandre Evfimievski, et al.. (2014). SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.. IEEE Data(base) Engineering Bulletin. 37. 52–62. 28 indexed citations

15.

Natarajan, Nagarajan, Prithviraj Sen, & Vineet Chaoji. (2013). Community detection in content-sharing social networks. 82–89. 22 indexed citations

16.

Sellamanickam, Sundararajan, et al.. (2011). Web information extraction using Markov logic networks. 115–116. 17 indexed citations

17.

Sen, Prithviraj, Galileo Namata, Mustafa Bilgic, et al.. (2008). Collective Classi!cation in Network Data. 4 indexed citations

18.

Sen, Prithviraj & Lise Getoor. (2008). Cost-sensitive learning with conditional Markov networks. Data Mining and Knowledge Discovery. 17(2). 136–163. 10 indexed citations

19.

Sen, Prithviraj & Amol Deshpande. (2007). Representing and Querying Correlated Tuples in Probabilistic Databases. 596–605. 161 indexed citations

20.

Sen, Prithviraj, et al.. (2005). Use of reciprocity in a double plane wave Kirchhoff depth migration. 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.

Explore authors with similar magnitude of impact