Jay Ponte

5.2k total citations · 2 hit papers
16 papers, 1.6k citations indexed

About

Jay Ponte is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Jay Ponte has authored 16 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in Jay Ponte's work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Information Retrieval and Search Behavior (4 papers). Jay Ponte is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Information Retrieval and Search Behavior (4 papers). Jay Ponte collaborates with scholars based in United States. Jay Ponte's co-authors include W. Bruce Croft, Moshe Dubiner, Jakob Uszkoreit, Ashok C. Popat, Franz Josef Och, Ashish Venugopal, Andreas Zollmann, Robyn Kozierok, Laurie Damianos and Lynette Hirschman and has published in prestigious journals such as ACM Transactions on Information Systems, User Modeling and User-Adapted Interaction and ACM SIGIR Forum.

In The Last Decade

Jay Ponte

16 papers receiving 1.6k 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.

A language modeling approach to information retrieval

1998 1.1k citations Jay Ponte, W. Bruce Croft profile →
A Language Modeling Approach to Information Retrieval

2017 274 citations Jay Ponte, W. Bruce Croft ACM SIGIR Forum profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay Ponte United States	9	1.2k	941	264	227	119	16	1.6k
Bruce Croft United States	12	886 0.7×	783 0.8×	190 0.7×	200 0.9×	89 0.7×	25	1.3k
David Vallet Spain	16	671 0.5×	732 0.8×	266 1.0×	145 0.6×	135 1.1×	41	1.1k
Micheline Hancock‐Beaulieu United Kingdom	11	1.5k 1.2×	1.3k 1.4×	395 1.5×	317 1.4×	158 1.3×	22	2.2k
Ben He China	23	1.2k 1.0×	910 1.0×	250 0.9×	164 0.7×	132 1.1×	77	1.5k
Stefan Büttcher Canada	13	742 0.6×	855 0.9×	249 0.9×	293 1.3×	128 1.1×	17	1.3k
Pável Calado Portugal	22	703 0.6×	625 0.7×	140 0.5×	213 0.9×	128 1.1×	64	1.2k
Fuchun Peng United States	19	2.0k 1.6×	826 0.9×	235 0.9×	243 1.1×	139 1.2×	53	2.3k
Xuehua Shen United States	12	616 0.5×	830 0.9×	175 0.7×	201 0.9×	74 0.6×	17	1.2k
Klaus Berberich Germany	17	1.4k 1.1×	617 0.7×	211 0.8×	303 1.3×	255 2.1×	72	1.7k
Silviu Cucerzan United States	17	1.3k 1.1×	558 0.6×	126 0.5×	110 0.5×	246 2.1×	39	1.6k

Countries citing papers authored by Jay Ponte

Since Specialization

Citations

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

Fields of papers citing papers by Jay Ponte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Ponte

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

All Works

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16 of 16 papers shown

1.

Ponte, Jay & W. Bruce Croft. (2017). A Language Modeling Approach to Information Retrieval. ACM SIGIR Forum. 51(2). 202–208. 274 indexed citations breakdown →

2.

Lyon, Richard F., Jay Ponte, & Gal Chechik. (2011). Sparse coding of auditory features for machine hearing in interference. 5876–5879. 7 indexed citations

3.

Uszkoreit, Jakob, Jay Ponte, Ashok C. Popat, & Moshe Dubiner. (2010). Large Scale Parallel Document Mining for Machine Translation. International Conference on Computational Linguistics. 1101–1109. 89 indexed citations

4.

Zollmann, Andreas, Ashish Venugopal, Franz Josef Och, & Jay Ponte. (2008). A systematic comparison of phrase-based, hierarchical and syntax-augmented statistical MT. 1. 1145–1152. 70 indexed citations

5.

Maybury, Mark T., et al.. (2003). Personalcasting: Tailored Broadcast News. User Modeling and User-Adapted Interaction. 14(1). 119–144. 17 indexed citations

6.

Kozierok, Robyn, et al.. (2003). MiTAP: a case study of integrated knowledge discovery tools. 10 pp.–10 pp.. 10 indexed citations

7.

Damianos, Laurie, et al.. (2003). MiTAP for real users, real data, real problems. 656–656. 2 indexed citations

8.

Damianos, Laurie, Jay Ponte, George D. Wilson, et al.. (2002). Real users, real data, real problems: the MiTAP system for monitoring bio events. 357–362. 8 indexed citations

9.

Damianos, Laurie, et al.. (2002). MiTAP, text and audio processing for bio-security: a case study. National Conference on Artificial Intelligence. 807–814. 10 indexed citations

10.

Damianos, Laurie, Jay Ponte, George D. Wilson, et al.. (2002). Real users, real data, real problems. 357–362. 3 indexed citations

11.

Morgan, W. T. W., et al.. (2002). The role of variance in term weighting for probabilistic information retrieval. 252–259. 5 indexed citations

12.

Morgan, William T., et al.. (2002). The role of variance in term weighting for probabilistic information retrieval. 1 indexed citations

13.

Hirschman, Lynette, Inderjeet Mani, Scott Mardis, et al.. (2001). Integrated Feasibility Experiment for Bio-Security. 1–5. 2 indexed citations

14.

Ponte, Jay, et al.. (2000). The maximum entropy approach and probabilistic IR models. ACM Transactions on Information Systems. 18(3). 246–287. 21 indexed citations

15.

Ponte, Jay & W. Bruce Croft. (1998). A language modeling approach to information retrieval. 275–281. 1097 indexed citations breakdown →

16.

Ponte, Jay. (1996). USe: A Retargetable Word Segmentation Procedure for Information Retrieval. 30 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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