Robert McCann

608 citations
17 papers · 390 indexed · h-index 10

Robert McCann

17 papers receiving 347 citations

Peers

Robert McCann
Comparison fields: 5 of 47
  • Management Science and Operations Research 132
  • Information Systems 184
  • Computer Networks and Communications 178
  • Artificial Intelligence 232
  • Information Systems and Management 50
Replace Pedro DeRose with:
Pedro DeRose United States
Yael Amsterdamer Israel
Gengxin Miao United States
Tim Furche United Kingdom
Keishi Tajima Japan
Beth Trushkowsky United States
Costantino Thanos Italy
Chen-Chuan K. Chang United States
Alpa Jain United States
Gregory Karvounarakis Greece
Robert McCann relative to Pedro DeRose United States Pedro DeRose's profile →
Citations per field
00.5×
Pedro DeRose · 1×
Citations per year

Countries citing papers authored by Robert McCann

Since Specialization
Citations

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

Fields of papers citing papers by Robert McCann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Robert McCann, 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 Robert McCann Line = papers co-authored together Robert McCann links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20251
2 20254
3 201921
4 201676
5
A Survey of the Existing Landscape of ML Systems
20152
6
Personalized spam filtering for gray mail
20089
7 200861
8 200827
9
Improve Spam Filtering by Detecting Gray Mail.
200715
10
Efficient data integration: automation, collaboration, and relaxation
20073
11
Community Information Management.
200663
12
Mapping maintenance for data integration systems
200537
13
Collaborative Development of Information Integration Systems.
20052
14 200518
15
Building data integration systems: a mass collaboration approach
200321
16
Building Data Integration Systems via Mass Collaboration
200326
17 19704

About Robert McCann

Robert McCann is a scholar working on Information Systems, Management Science and Operations Research, Computer Networks and Communications, Signal Processing and Software, having authored 17 papers that have together received 390 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (8 papers), Advanced Database Systems and Queries (7 papers), Data Quality and Management (6 papers), Semantic Web and Ontologies (4 papers), Spam and Phishing Detection (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Network Security and Intrusion Detection (2 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Management Science and Operations Research (132 citations), Information Systems (184 citations), Computer Networks and Communications (178 citations), Artificial Intelligence (232 citations) and Information Systems and Management (50 citations). Robert McCann has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include AnHai Doan, Warren Shen, Jignesh M. Patel, Arun Kumar, Jeffrey F. Naughton, Pedro DeRose, Raghu Ramakrishnan, Mayssam Sayyadian, Scott Yih and Fei Chen. Their work appears in journals such as ACM SIGMOD Record, Minds at UW (University of Wisconsin), IEEE Data(base) Engineering Bulletin, Journal of Experimental Psychology and Very Large Data Bases.

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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