Mike Perkowitz

2.9k citations
19 papers · 2.4k · 1 hit paper · h-index 15

Impact in

Papers in

Mike Perkowitz

18 papers receiving 2.1k citations

Mike Perkowitz's Hit Papers

Inferring Activities from Interactions with Objects 2004 · 746 citations
7460+7+14Years since publication200400600

Peers

Mike Perkowitz
Comparison fields: 5 of 85
  • Information Systems 1.1k
  • Computer Vision and Pattern Recognition 851
  • Signal Processing 383
  • Computer Networks and Communications 724
  • Human-Computer Interaction 142
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Citations per year

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-authors

The 13 scholars most cited alongside Mike Perkowitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mike Perkowitz Line = papers co-authored together Mike Perkowitz links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Inferring Activities from Interactions with Objects
Hit paper breakdown →
2004746
2 2000344
3
Adaptive Web sites: automatically synthesizing Web pages
1998219
4
Adaptive web sites: an AI challenge
1997181
5 2000159
6 2004149
7
Equations for part-of-speech tagging
1993131
8 1999100
9
Category Translation: Learning to Understand Information on the Internet.
199575
10
Adaptive Web Sites: Conceptual Cluster Mining
199971
11 199759
12
Annotating Large Email Datasets for Named Entity Recognition with Mechanical Turk
201039
13
Guide: Towards Understanding Daily Life via Auto- Identification and Statistical Analysis
200337
14
Adaptive Sites: Automatically Learning from User Access Patterns
199726
15
Adaptive web sites: cluster mining and conceptual clustering for index page synthesis
200122
16
Contextual computer support for human activity
20043
17
Database learning for software agents
19942
18
Adaptive Web Site : Cluster Mining and Conceptual Clustering for Index Page Synthesis
20011
19
The Probabilistic Activity Toolkit: Towards Enabling Activity Aware Computer Interfaces
20130

About Mike Perkowitz

Mike Perkowitz is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 19 papers that have together received 2.4k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (7 papers), Context-Aware Activity Recognition Systems (4 papers), Recommender Systems and Techniques (4 papers), Topic Modeling (4 papers), Algorithms and Data Compression (3 papers), Machine Learning and Algorithms (3 papers), Data Management and Algorithms (3 papers) and Personal Information Management and User Behavior (3 papers). The work is most often cited by research in Information Systems (1.1k citations), Computer Vision and Pattern Recognition (851 citations), Signal Processing (383 citations), Computer Networks and Communications (724 citations) and Human-Computer Interaction (142 citations). Mike Perkowitz has collaborated with scholars based in United States, Switzerland and Germany. Frequent 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. Their work appears in journals such as Computer Networks, IEEE Pervasive Computing, Communications of the ACM, Artificial Intelligence and Journal of Intelligent Information 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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