Marcia Kaufman

680 citations
7 papers · 365 indexed · h-index 6
Topics
Cloud Computing and Resource Management (1 paper)Big Data and Business Intelligence (1 paper)Service-Oriented Architecture and Web Services (1 paper)
Journals
CERN Document Server (European Organization for Nuclear Research)

In The Last Decade

Marcia Kaufman

6 papers receiving 286 citations

Peers

Marcia Kaufman
Comparison fields: 5 of 73
  • Information Systems 188
  • Computer Networks and Communications 127
  • Artificial Intelligence 96
  • Management Information Systems 90
  • Information Systems and Management 44
Replace Judith Hurwitz with:
Judith Hurwitz
Heather Kreger United States
Dilpreet Singh India
Antônio Espósito Italy
Deirdre Lawless Ireland
Fern Halper United States
Jesús Bisbal Spain
Yiannis Verginadis Greece
James Snell United States
Olivier Corby France
Marcia Kaufman relative to Judith Hurwitz Judith Hurwitz's profile →
Citations per field
00.5×1.5×
Judith Hurwitz · 1×
Citations per year

Countries citing papers authored by Marcia Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Marcia Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcia Kaufman

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1
Cognitive Computing and Big Data Analytics
80
2
Big Data for Dummies
103
3
Hybrid Cloud For Dummies
6
4
Service Management For Dummies
1
5
Cloud Computing for Dummies
124
6
Service Oriented Architecture For Dummies (For Dummies (Computer/Tech))
6
7
Service Oriented Architecture for Dummies
45

About Marcia Kaufman

Marcia Kaufman is a scholar working on Management Information Systems, Information Systems and Infectious Diseases, having authored 7 papers that have together received 365 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (1 paper), Big Data and Business Intelligence (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Management Information Systems (90 citations), Information Systems (188 citations) and Information Systems and Management (44 citations). Frequent co-authors include Judith Hurwitz and Fern Halper. Their work appears in journals such as CERN Document Server (European Organization for Nuclear 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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