Michael J. Zwilling

705 total citations
11 papers, 411 citations indexed

About

Michael J. Zwilling is a scholar working on Computer Networks and Communications, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Michael J. Zwilling has authored 11 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 4 papers in Information Systems and 2 papers in Management Science and Operations Research. Recurrent topics in Michael J. Zwilling's work include Distributed systems and fault tolerance (7 papers), Advanced Data Storage Technologies (5 papers) and Cloud Computing and Resource Management (3 papers). Michael J. Zwilling is often cited by papers focused on Distributed systems and fault tolerance (7 papers), Advanced Data Storage Technologies (5 papers) and Cloud Computing and Resource Management (3 papers). Michael J. Zwilling collaborates with scholars based in United States, United Kingdom and Denmark. Michael J. Zwilling's co-authors include Michael J. Carey, David J. DeWitt, Seth J. White, Michael J. Franklin, Jeffrey F. Naughton, Marvin Solomon, Mark L. McAuliffe, Eugene J. Shekita, Michael J. Franklin and Goetz Graefe and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and IEEE Data(base) Engineering Bulletin.

In The Last Decade

Michael J. Zwilling

11 papers receiving 344 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael J. Zwilling United States 7 386 111 99 87 69 11 411
Mark L. McAuliffe United States 4 292 0.8× 101 0.9× 62 0.6× 65 0.7× 60 0.9× 7 310
Seth J. White United States 9 458 1.2× 106 1.0× 102 1.0× 151 1.7× 88 1.3× 11 487
Margaret H. Eich United States 7 304 0.8× 160 1.4× 95 1.0× 54 0.6× 92 1.3× 20 342
M.-A. Neimat United States 6 406 1.1× 171 1.5× 95 1.0× 30 0.3× 169 2.4× 9 430
Gene T. J. Wuu United States 8 302 0.8× 172 1.5× 57 0.6× 39 0.4× 87 1.3× 12 326
Carolyn Turbyfill United States 7 293 0.8× 136 1.2× 83 0.8× 27 0.3× 81 1.2× 8 326
Fernando Vélez Sweden 4 255 0.7× 83 0.7× 112 1.1× 16 0.2× 122 1.8× 8 307
Wan Chang United States 4 266 0.7× 166 1.5× 68 0.7× 21 0.2× 122 1.8× 5 297
James W. Stamos United States 8 382 1.0× 56 0.5× 160 1.6× 66 0.8× 123 1.8× 11 413
Manolis M. Tsangaris United States 7 224 0.6× 85 0.8× 121 1.2× 28 0.3× 76 1.1× 11 256

Countries citing papers authored by Michael J. Zwilling

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Zwilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Zwilling

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

All Works

11 of 11 papers shown
1.
Zwilling, Michael J., et al.. (2015). Handbuch Sozialwesen Schweiz. 5 indexed citations
2.
Lomet, David, Kostas Tzoumas, & Michael J. Zwilling. (2011). Implementing performance competitive logical recovery. Proceedings of the VLDB Endowment. 4(7). 430–439. 7 indexed citations
3.
Graefe, Goetz & Michael J. Zwilling. (2004). Transaction support for indexed views.. International Conference on Management of Data. 7 indexed citations
4.
Graefe, Goetz & Michael J. Zwilling. (2004). Transaction support for indexed summary views. 323–334. 6 indexed citations
5.
Blakeley, José A., Thomas A. Casey, César Galindo-Legaria, et al.. (2001). Microsoft SQL Server (Chapter 27). 969–1006. 1 indexed citations
6.
Chaudhuri, Surajit, Eric Christensen, Goetz Graefe, Vivek Narasayya, & Michael J. Zwilling. (1999). Self-Tuning Technology in Microsoft SQL Server.. IEEE Data(base) Engineering Bulletin. 22(1). 20–26. 19 indexed citations
7.
Shekita, Eugene J. & Michael J. Zwilling. (1996). Cricket: A Mapped, Persistent Object Store. Minds at UW (University of Wisconsin). 89–102. 23 indexed citations
8.
Carey, Michael J., David J. DeWitt, Michael J. Franklin, et al.. (1994). Shoring up persistent applications. ACM SIGMOD Record. 23(2). 383–394. 15 indexed citations
9.
Carey, Michael J., David J. DeWitt, Michael J. Franklin, et al.. (1994). Shoring up persistent applications. 383–394. 280 indexed citations
10.
Franklin, Michael J., et al.. (1992). Crash recovery in client-server EXODUS. ACM SIGMOD Record. 21(2). 165–174. 2 indexed citations
11.
Franklin, Michael J., et al.. (1992). Crash recovery in client-server EXODUS. 165–174. 46 indexed citations

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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