Judith D. Schlesinger

19 papers receiving 283 citations

Peers

Judith D. Schlesinger
Comparison fields: 5 of 24
  • Artificial Intelligence 321
  • Information Systems 58
  • Molecular Biology 26
  • Signal Processing 10
  • Management Science and Operations Research 8
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Citations per field
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Citations per year

Countries citing papers authored by Judith D. Schlesinger

Since Specialization
Citations

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

Fields of papers citing papers by Judith D. Schlesinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judith D. Schlesinger. 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 Judith D. Schlesinger. The network helps show where Judith D. Schlesinger may publish in the future.

Co-authorship network of co-authors of Judith D. Schlesinger

This figure shows the co-authorship network connecting the top 25 collaborators of Judith D. Schlesinger. A scholar is included among the top collaborators of Judith D. Schlesinger 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 Judith D. Schlesinger. Judith D. Schlesinger 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
#WorkIndexed citations
1
ACL 2013 MultiLing Pilot Overview
6
2
Multilingual Summarization: Dimensionality Reduction and a Step Towards Optimal Term Coverage
12
3 14
4 31
5
CLASSY 2011 at TAC: Guided and Multi-lingual Summaries and Evaluation Metrics.
35
6 17
7
Guiding CLASSY Toward More Responsive Summaries.
5
8
CLASSY 2009: Summarization and Metrics
6
9
CLASSY and TAC 2008 Metrics.
8
10 13
11 60
12
Sentence Trimming and Selection: Mixing and Matching
1
13
Back to Basics: CLASSY 2006
21
14 70
15
CLASSY Arabic and English Multi-Document Summarization
5
16
Performance of a Three-Stage System for Multi-Document Summarization
11
17 4
18
Proceedings addendum of the 1985 ACM annual conference on The range of computing : mid-80s perspective: mid-80s perspective
1
19 5
20 3

About Judith D. Schlesinger

Judith D. Schlesinger is a scholar working on Artificial Intelligence, Computer Science Applications and Media Technology, having authored 21 papers that have together received 338 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (16 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (321 citations), Information Systems (58 citations) and Computational Mathematics (1 citation). Judith D. Schlesinger has collaborated with scholars based in United States, Russia and Egypt. Frequent co-authors include John M. Conroy, Dianne P. O’Leary, Daniel Dunlavy, Jade Goldstein, Ronald E. Prather, Mary Ellen Okurowski, Hans van Halteren, Necip Fazıl Ayan, Rebecca J. Passonneau and Judith L. Klavans. Their work appears in journals such as Information Processing & Management, Computational Linguistics and IEEE Intelligent Systems.

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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