Michael Factor

1.6k citations
71 papers · 1.2k · h-index 21

Impact in

Papers in

Michael Factor

63 papers receiving 1.1k citations

Peers

Michael Factor
Comparison fields: 5 of 83
  • Hardware and Architecture 301
  • Computer Networks and Communications 818
  • Information Systems 522
  • Conservation 42
  • Information Systems and Management 65
Replace Seunghwan Son with:
Seunghwan Son South Korea
Kazuhiko Kato Japan
Yasushi Inoguchi Japan
Chih‐Ping Chu Taiwan
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Bert Vankeirsbilck Belgium
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Michael Factor relative to Seunghwan Son South Korea Seunghwan Son's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Factor

Since Specialization
Citations

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

Fields of papers citing papers by Michael Factor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Factor, 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 Michael Factor Line = papers co-authored together Michael Factor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010200
2 200382
3 200677
4 200351
5 200949
6
Authenticity and provenance in long term digital preservation: modeling and implementation in preservation aware storage
200937
7 200832
8 200032
9
Architectures for controller based CDP
200730
10 199027
11 201127
12 199127
13 201327
14 200826
15 200325
16 201224
17 200023
18 200421
19 200221
20 200221

About Michael Factor

Michael Factor is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and Conservation, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (31 papers), Cloud Computing and Resource Management (14 papers), Parallel Computing and Optimization Techniques (14 papers), Distributed systems and fault tolerance (13 papers), Caching and Content Delivery (11 papers), Distributed and Parallel Computing Systems (11 papers), Healthcare Technology and Patient Monitoring (8 papers) and Cloud Data Security Solutions (7 papers). The work is most often cited by research in Hardware and Architecture (301 citations), Computer Networks and Communications (818 citations), Information Systems (522 citations), Conservation (42 citations) and Information Systems and Management (65 citations). Michael Factor has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Dalit Naor, Itzhak Roman, Julian Satran, Assaf Schuster, Muli Ben-Yehuda, Yariv Aridor, Nadav Har’El, Ohad Rodeh, Kalman Meth and Abel Gordon. Their work appears in journals such as IBM Journal of Research and Development, ACM SIGPLAN Notices, Surface and Coatings Technology, Computer Methods and Programs in Biomedicine and Journal of Thermal Spray Technology.

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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