Jade Goldstein

6.0k total citations · 2 hit papers
22 papers, 2.9k citations indexed

About

Jade Goldstein is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jade Goldstein has authored 22 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jade Goldstein's work include Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers) and Information Retrieval and Search Behavior (5 papers). Jade Goldstein is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers) and Information Retrieval and Search Behavior (5 papers). Jade Goldstein collaborates with scholars based in United States, Jordan and Singapore. Jade Goldstein's co-authors include Jaime Carbonell, Vibhu O. Mittal, Mark Kantrowitz, Steven F. Roth, Joe Mattis, John Kolojejchick, Jamie Callan, Brad A. Myers, Judith D. Schlesinger and Dianne P. O’Leary and has published in prestigious journals such as Journal of Visual Languages & Computing, ACM SIGIR Forum and Figshare.

In The Last Decade

Jade Goldstein

22 papers receiving 2.7k citations

Hit Papers

The use of MMR, diversity-based reranking for reordering ... 1998 2026 2007 2016 1998 2017 400 800 1.2k
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.

  1. The use of MMR, diversity-based reranking for reordering documents and producing summaries
    1998 1.4k citations Jaime Carbonell, Jade Goldstein profile →
  2. The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries
    2017 418 citations Jaime Carbonell, Jade Goldstein ACM SIGIR Forum profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jade Goldstein United States 15 2.0k 1.0k 559 314 250 22 2.9k
Hugo Zaragoza United Kingdom 22 2.6k 1.3× 1.8k 1.8× 585 1.0× 339 1.1× 283 1.1× 52 3.4k
Djoerd Hiemstra Netherlands 24 1.3k 0.6× 1.3k 1.3× 368 0.7× 290 0.9× 234 0.9× 161 2.2k
Susan Gauch United States 24 984 0.5× 1.3k 1.2× 349 0.6× 314 1.0× 304 1.2× 92 2.0k
Hua-Jun Zeng China 22 1.5k 0.7× 1.6k 1.6× 503 0.9× 319 1.0× 311 1.2× 41 2.6k
Rosie Jones United States 26 1.8k 0.9× 1.7k 1.7× 331 0.6× 438 1.4× 256 1.0× 62 3.1k
Giovanni Romano Italy 19 1.2k 0.6× 1.1k 1.1× 391 0.7× 521 1.7× 185 0.7× 39 2.1k
Micheline Hancock‐Beaulieu United Kingdom 11 1.5k 0.7× 1.3k 1.3× 395 0.7× 317 1.0× 191 0.8× 22 2.2k
Falk Scholer Australia 24 1.3k 0.6× 1.3k 1.3× 345 0.6× 336 1.1× 258 1.0× 153 2.3k
Claudio Carpineto Italy 19 1.3k 0.6× 1.1k 1.1× 402 0.7× 537 1.7× 186 0.7× 43 2.1k
Claudio Lucchese Italy 24 978 0.5× 984 1.0× 355 0.6× 381 1.2× 291 1.2× 122 1.8k

Countries citing papers authored by Jade Goldstein

Since Specialization
Citations

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

Fields of papers citing papers by Jade Goldstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jade Goldstein

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

All Works

20 of 20 papers shown
1.
Carbonell, Jaime & Jade Goldstein. (2018). The Use of MMR and Diversity-Based Reranking in Document Reranking and Summarization. KiltHub Repository. 3 indexed citations
2.
Mittal, Vibhu O., Mark Kantrowitz, Jade Goldstein, & Jaime Carbonell. (2018). Selecting Text Spans for Document Summaries: Heuristics and Metrics. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 467–473. 1 indexed citations
3.
Carbonell, Jaime & Jade Goldstein. (2017). The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries. ACM SIGIR Forum. 51(2). 209–210. 418 indexed citations breakdown →
4.
Goldstein, Jade, et al.. (2007). Genre identification and goal-focused summarization. 889–892. 6 indexed citations
5.
Goldstein, Jade, et al.. (2006). Annotating Subsets of the Enron Email Corpus. 16 indexed citations
6.
Conroy, John M., Judith D. Schlesinger, Dianne P. O’Leary, & Jade Goldstein. (2006). Back to Basics: CLASSY 2006. 21 indexed citations
7.
Chua, Tat‐Seng, Jade Goldstein, Simone Teufel, & Lucy Vanderwende. (2006). Proceedings of the Workshop on Task-Focused Summarization and Question Answering. 1 indexed citations
8.
Goldstein, Jade, et al.. (2006). Using Speech Acts to Categorize Email and Identify Email Genres. 24 indexed citations
9.
Goldstein, Jade, Vibhu O. Mittal, Jaime Carbonell, & Mark Kantrowitz. (2000). Multi-document summarization by sentence extraction. Figshare. 4. 40–48. 235 indexed citations
10.
Goldstein, Jade, Vibhu O. Mittal, Jaime Carbonell, & Mark Kantrowitz. (2000). Multi-document summarization by sentence extraction. 40–48. 100 indexed citations
11.
Goldstein, Jade, Mark Kantrowitz, Vibhu O. Mittal, & Jaime Carbonell. (1999). Summarizing text documents. 121–128. 324 indexed citations
12.
Carbonell, Jaime & Jade Goldstein. (1998). The use of MMR, diversity-based reranking for reordering documents and producing summaries. 335–336. 1392 indexed citations breakdown →
13.
Goldstein, Jade & Jaime Carbonell. (1996). Summarization. 181–181. 15 indexed citations
14.
Myers, Brad A., et al.. (1994). Creating charts by demonstration. 106–111. 30 indexed citations
15.
Myers, Brad A., et al.. (1994). Creating charts by demonstration. 206–206. 5 indexed citations
16.
Roth, Steven F., John Kolojejchick, Joe Mattis, & Jade Goldstein. (1994). Interactive graphic design using automatic presentation knowledge. 112–117. 136 indexed citations
17.
Goldstein, Jade & Steven F. Roth. (1994). Using aggregation and dynamic queries for exploring large data sets. 200–200. 14 indexed citations
18.
Goldstein, Jade, Steven F. Roth, John Kolojejchick, & Joe Mattis. (1994). A Framework for Knowledge-based Interactive Data Exploration. Journal of Visual Languages & Computing. 5(4). 339–363. 30 indexed citations
19.
Roth, Steven F., et al.. (1994). SAGE tools. 27–28. 3 indexed citations
20.
Roth, Steven F., et al.. (1994). Interactive graphic design using automatic presentation knowledge. 207–207. 22 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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