Michael Wan

1.3k citations
24 papers · 578 · h-index 13

Impact in

Papers in

Michael Wan

24 papers receiving 518 citations

Peers

Michael Wan
Comparison fields: 5 of 37
  • Computer Networks and Communications 373
  • Conservation 61
  • Information Systems and Management 82
  • Information Systems 147
  • Hardware and Architecture 29
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Citations per year

Countries citing papers authored by Michael Wan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Michael Wan, 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 Wan Line = papers co-authored together Michael Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201077
2
Data-intensive computing
199874
3 200364
4 201741
5 200040
6 200939
7 200534
8 200332
9 201026
10 200323
11 199621
12 200017
13
A Batch Scheduler for the Intel Paragon MPP System with a Non-contiguous Node Allocation Algorithm
199616
14
Data Grid Federation.
200413
15 200613
16
Collection-Based Persistent Digital Archives-Part 2 [and] MyLibrary: Personalized Electronic Services in the Cornell University Library [and] Creating Accessible Digital Imagery.
200010
17 20068
18
The integrated Rule-Oriented Data System (iRODS 4.0) Microservice Workbook
20157
19 20066
20
Real Experiences with Data Grids - Case studies in using the SRB
20025

About Michael Wan

Michael Wan is a scholar working on Computer Networks and Communications, Conservation, Information Systems and Management, Information Systems and Nuclear Energy and Engineering, having authored 24 papers that have together received 578 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (18 papers), Digital and Traditional Archives Management (5 papers), Scientific Computing and Data Management (5 papers), Research Data Management Practices (5 papers), Advanced Data Storage Technologies (2 papers) and Library Science and Information (1 paper). The work is most often cited by research in Computer Networks and Communications (373 citations), Conservation (61 citations), Information Systems and Management (82 citations), Information Systems (147 citations) and Hardware and Architecture (29 citations). Michael Wan has collaborated with scholars based in United States and Bulgaria. Frequent co-authors include Reagan Moore, Arcot Rajasekar, Chaitanya K. Baru, Richard J. Marciano, Bertram Ludaescher, Chaitan Baru, Amarnath Gupta, Terrell Russell, Hao Xu and Christopher A. Lee. Their work appears in journals such as D-Lib Magazine, Journal of Grid Computing, Proceedings of the IEEE, Synthesis lectures on information concepts, retrieval, and services and Lecture notes in computer science.

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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