Michele Banko

5.6k citations
24 papers · 3.5k indexed · 2 hit papers · h-index 19
Topics
Topic Modeling (20 papers)Natural Language Processing Techniques (20 papers)Web Data Mining and Analysis (7 papers)
Journals
Communications of the ACMMeeting of the Association for Computational LinguisticsConference on Innovative Data Systems Research

In The Last Decade

Michele Banko

24 papers receiving 3.1k citations

Hit Papers

Open information extraction from the web200720262013201920072008250500750

Peers

Michele Banko
Comparison fields: 5 of 126
  • Artificial Intelligence 3.1k
  • Information Systems 1.1k
  • Management Science and Operations Research 365
  • Molecular Biology 272
  • Computer Vision and Pattern Recognition 239
Replace Max Jakob with:
Max Jakob Germany
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Pablo N. Mendes United States
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Ana-Maria Popescu United States
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Dimitris Kontokostas Germany
Shaul Markovitch Israel
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Michele Banko relative to Max Jakob Germany Max Jakob's profile →
Citations per field
00.5×1.5×1.8×
Max Jakob · 1×
Citations per year

Countries citing papers authored by Michele Banko

Since Specialization
Citations

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

Fields of papers citing papers by Michele Banko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Banko

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Banko. A scholar is included among the top collaborators of Michele Banko 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 Michele Banko. Michele Banko 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 13
2 33
3 2
4 2
5
Open information extraction for the web
96
6
The Tradeoffs Between Open and Traditional Relation Extraction
213
7
Structured querying of web text
21
8
Open information extraction from the webbreakdown →
831
9 49
10 190
11
Machine reading
68
12
Relational Web Search
31
13
Event-Centric Summary Generation
32
14 3
15 196
16 193
17
AskMSR: Question Answering Using the Worldwide Web
30
18
Data-intensive Question Answering
173
19 8
20 151

About Michele Banko

Michele Banko is a scholar working on Artificial Intelligence, Information Systems and Communication, having authored 24 papers that have together received 3.5k indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Natural Language Processing Techniques (20 papers) and Web Data Mining and Analysis (7 papers). The work is most often cited by research in Artificial Intelligence (3.1k citations), Information Systems (1.1k citations) and Management Science and Operations Research (365 citations). Michele Banko has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Oren Etzioni, Eric Brill, Stephen Soderland, Michael Cafarella, Daniel S. Weld, Susan Dumais, Jimmy Lin, Andrew Y. Ng, Vibhu O. Mittal and Michael Witbrock. Their work appears in journals such as Communications of the ACM, Meeting of the Association for Computational Linguistics and Conference on Innovative Data Systems Research.

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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