Dan Teodosiu

451 total citations
12 papers, 320 citations indexed

About

Dan Teodosiu is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Dan Teodosiu has authored 12 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 7 papers in Hardware and Architecture and 3 papers in Information Systems. Recurrent topics in Dan Teodosiu's work include Distributed systems and fault tolerance (8 papers), Parallel Computing and Optimization Techniques (7 papers) and Advanced Data Storage Technologies (4 papers). Dan Teodosiu is often cited by papers focused on Distributed systems and fault tolerance (8 papers), Parallel Computing and Optimization Techniques (7 papers) and Advanced Data Storage Technologies (4 papers). Dan Teodosiu collaborates with scholars based in United States and France. Dan Teodosiu's co-authors include Mendel Rosenblum, Kinshuk Govil, Yongqiang Huang, John Chapin, Scott Devine, Tirthankar Lahiri, Aman Gupta, Yuri Gurevich, Mark S. Manasse and Nikolaj Bjørner and has published in prestigious journals such as Communications of the ACM, Theoretical Computer Science and ACM Transactions on Computer Systems.

In The Last Decade

Dan Teodosiu

11 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Teodosiu United States 7 284 205 140 59 33 12 320
Paul Willmann United States 5 221 0.8× 148 0.7× 136 1.0× 54 0.9× 31 0.9× 9 253
Rabin A. Sugumar United States 9 342 1.2× 402 2.0× 67 0.5× 29 0.5× 69 2.1× 12 417
Thomas W. Barr United States 6 253 0.9× 277 1.4× 146 1.0× 26 0.4× 26 0.8× 8 294
Rafael H. Saavedra United States 7 252 0.9× 261 1.3× 90 0.6× 30 0.5× 40 1.2× 15 317
Windsor W. Hsu United States 9 240 0.8× 128 0.6× 103 0.7× 49 0.8× 22 0.7× 20 286
Russell M. Clapp United States 7 296 1.0× 292 1.4× 66 0.5× 24 0.4× 28 0.8× 16 343
Dong-In Kang United States 10 159 0.6× 181 0.9× 85 0.6× 27 0.5× 29 0.9× 27 271
Elana D. Granston United States 8 271 1.0× 290 1.4× 50 0.4× 32 0.5× 29 0.9× 16 308
Josef Bacik United States 4 291 1.0× 121 0.6× 110 0.8× 32 0.5× 25 0.8× 7 310
Katherine Barabash Israel 10 239 0.8× 119 0.6× 90 0.6× 102 1.7× 34 1.0× 27 295

Countries citing papers authored by Dan Teodosiu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Teodosiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Teodosiu

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

All Works

12 of 12 papers shown
1.
Teodosiu, Dan, et al.. (2006). Optimizing File Replication over Limited-Bandwidth Networks using Remote Differential Compression. EJNMMI Radiopharmacy and Chemistry. 9(1). 16–13. 35 indexed citations
2.
Gastin, Paul & Dan Teodosiu. (2002). Resource traces: a domain for processes sharing exclusive resources. Theoretical Computer Science. 278(1-2). 195–221. 4 indexed citations
3.
Rosenblum, Mendel & Dan Teodosiu. (2000). End-to-end fault containment in scalable shared-memory multiprocessors. 1 indexed citations
4.
Govil, Kinshuk, Dan Teodosiu, Yongqiang Huang, & Mendel Rosenblum. (2000). Cellular disco. ACM Transactions on Computer Systems. 18(3). 229–262. 43 indexed citations
5.
Govil, Kinshuk, Dan Teodosiu, Yongqiang Huang, & Mendel Rosenblum. (1999). Cellular Disco. ACM SIGOPS Operating Systems Review. 33(5). 154–169. 8 indexed citations
6.
Govil, Kinshuk, Dan Teodosiu, Yongqiang Huang, & Mendel Rosenblum. (1999). Cellular Disco. 154–169. 78 indexed citations
7.
Teodosiu, Dan, Joel Baxter, Kinshuk Govil, et al.. (1997). Hardware fault containment in scalable shared-memory multiprocessors. ACM SIGARCH Computer Architecture News. 25(2). 73–84. 4 indexed citations
8.
Teodosiu, Dan, Joel Baxter, Kinshuk Govil, et al.. (1997). Hardware fault containment in scalable shared-memory multiprocessors. 73–84. 27 indexed citations
9.
Rosenblum, Mendel, John Chapin, Dan Teodosiu, et al.. (1996). Implementing efficient fault containment for multiprocessors. Communications of the ACM. 39(9). 52–61. 13 indexed citations
10.
Chapin, John, Mendel Rosenblum, Scott Devine, et al.. (1995). Hive. 12–25. 103 indexed citations
11.
Chapin, John, Mendel Rosenblum, Scott Devine, et al.. (1995). Hive. ACM SIGOPS Operating Systems Review. 29(5). 12–25. 4 indexed citations
12.
Teodosiu, Dan. (1988). tLISP—a semicompiled LISP on a microcomputer. Computing and Informatics / Computers and Artificial Intelligence. 7(3). 193–202.

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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