Mike Perkowitz

2.9k total citations · 1 hit paper
19 papers, 1.8k citations indexed

About

Mike Perkowitz is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Mike Perkowitz has authored 19 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in Mike Perkowitz's work include Web Data Mining and Analysis (7 papers), Topic Modeling (4 papers) and Recommender Systems and Techniques (4 papers). Mike Perkowitz is often cited by papers focused on Web Data Mining and Analysis (7 papers), Topic Modeling (4 papers) and Recommender Systems and Techniques (4 papers). Mike Perkowitz collaborates with scholars based in United States, Switzerland and Germany. Mike Perkowitz's co-authors include Oren Etzioni, Donald J. Patterson, Matthai Philipose, Henry Kautz, Dirk Hähnel, K.P. Fishkin, D. Fox, Kenneth P. Fishkin, Eugene Charniak and Robert B. Doorenbos and has published in prestigious journals such as Communications of the ACM, Artificial Intelligence and Computer Networks.

In The Last Decade

Mike Perkowitz

18 papers receiving 1.6k citations

Hit Papers

Inferring Activities from Interactions with Objects 2004 2026 2011 2018 2004 100 200 300 400 500

Peers

Mike Perkowitz
Comparison fields: 5 of 85
  • Information Systems 834
  • Computer Vision and Pattern Recognition 668
  • Artificial Intelligence 580
  • Computer Networks and Communications 553
  • Signal Processing 297
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Citations per field, relative to Mike Perkowitz
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Citations per year, relative to Mike Perkowitz
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Countries citing papers authored by Mike Perkowitz

Since Specialization
Citations

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

Fields of papers citing papers by Mike Perkowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Perkowitz

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

All Works

19 of 19 papers shown
# Work Indexed citations
1
The Probabilistic Activity Toolkit: Towards Enabling Activity Aware Computer Interfaces
0
2
Annotating Large Email Datasets for Named Entity Recognition with Mechanical Turk
36
3
Contextual computer support for human activity
3
4
Inferring Activities from Interactions with Objects breakdown →
583
5 123
6
Guide: Towards Understanding Daily Life via Auto- Identification and Statistical Analysis
25
7
Adaptive Web Site : Cluster Mining and Conceptual Clustering for Index Page Synthesis
1
8
Adaptive web sites: cluster mining and conceptual clustering for index page synthesis
12
9 257
10 119
11
Adaptive Web Sites: Conceptual Cluster Mining
56
12 73
13
Adaptive Web sites: automatically synthesizing Web pages
159
14
Adaptive Sites: Automatically Learning from User Access Patterns
20
15
Adaptive web sites: an AI challenge
137
16 48
17
Category Translation: Learning to Understand Information on the Internet.
66
18
Database learning for software agents
2
19
Equations for part-of-speech tagging
118

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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