Mark A. Sheldon

900 total citations
11 papers, 537 citations indexed

About

Mark A. Sheldon is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Mark A. Sheldon has authored 11 papers receiving a total of 537 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 4 papers in Artificial Intelligence. Recurrent topics in Mark A. Sheldon's work include Caching and Content Delivery (4 papers), Advanced Database Systems and Queries (4 papers) and Distributed systems and fault tolerance (3 papers). Mark A. Sheldon is often cited by papers focused on Caching and Content Delivery (4 papers), Advanced Database Systems and Queries (4 papers) and Distributed systems and fault tolerance (3 papers). Mark A. Sheldon collaborates with scholars based in United States and France. Mark A. Sheldon's co-authors include David K. Gifford, Ron J. Weiss, Pierre Jouvelot, James W. O’Toole, Bienvenido Vélez, Andrzej Duda, Franklyn Turbak, Gary T. Leavens, Mitchell Wand and Shriram Krishnamurthi and has published in prestigious journals such as ACM SIGPLAN Notices, ACM SIGOPS Operating Systems Review and ACM SIGIR Forum.

In The Last Decade

Mark A. Sheldon

11 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark A. Sheldon United States 8 284 251 194 84 76 11 537
Israel Ben‐Shaul Israel 13 220 0.8× 329 1.3× 201 1.0× 25 0.3× 37 0.5× 26 506
Keishi Tajima Japan 10 192 0.7× 164 0.7× 172 0.9× 80 1.0× 73 1.0× 45 359
Dean Frederick Jerding United States 9 185 0.7× 257 1.0× 179 0.9× 32 0.4× 44 0.6× 12 422
Bas Cornelissen Netherlands 10 330 1.2× 527 2.1× 222 1.1× 42 0.5× 68 0.9× 16 680
Kenji Hatano Japan 8 129 0.5× 417 1.7× 269 1.4× 25 0.3× 108 1.4× 41 618
Rob McCool United States 7 184 0.6× 399 1.6× 494 2.5× 72 0.9× 89 1.2× 10 653
Hazem Elmeleegy United States 12 229 0.8× 206 0.8× 222 1.1× 46 0.5× 157 2.1× 19 489
Grégory Cobéna France 7 411 1.4× 324 1.3× 277 1.4× 30 0.4× 164 2.2× 12 571
Roberto De Virgilio Italy 12 165 0.6× 113 0.5× 176 0.9× 15 0.2× 85 1.1× 40 325
Alex Galakatos United States 10 274 1.0× 158 0.6× 152 0.8× 48 0.6× 137 1.8× 14 448

Countries citing papers authored by Mark A. Sheldon

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Sheldon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Sheldon. 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 Mark A. Sheldon. The network helps show where Mark A. Sheldon may publish in the future.

Co-authorship network of co-authors of Mark A. Sheldon

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Sheldon. A scholar is included among the top collaborators of Mark A. Sheldon 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 Mark A. Sheldon. Mark A. Sheldon 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.
Allen, Eric E., Ras Bodik, Kim B. Bruce, et al.. (2008). SIGPLAN programming language curriculum workshop. ACM SIGPLAN Notices. 43(11). 6–29. 7 indexed citations
2.
Sheldon, Mark A. & Franklyn Turbak. (2008). An aspect-oriented approach to the undergraduate programming language curriculum. ACM SIGPLAN Notices. 43(11). 124–129. 2 indexed citations
3.
Duda, Andrzej & Mark A. Sheldon. (2002). Content routing in a network of WAIS servers. 25. 124–132. 5 indexed citations
4.
Vélez, Bienvenido, Ron J. Weiss, Mark A. Sheldon, & David K. Gifford. (1997). Fast and effective query refinement. 6–15. 63 indexed citations
5.
Vélez, Bienvenido, Ron J. Weiss, Mark A. Sheldon, & David K. Gifford. (1997). Fast and effective query refinement. ACM SIGIR Forum. 31(SI). 6–15. 12 indexed citations
6.
Weiss, Ron J., Bienvenido Vélez, & Mark A. Sheldon. (1996). HyPursuit. 180–193. 140 indexed citations
7.
Sheldon, Mark A., Andrzej Duda, Ron J. Weiss, & David K. Gifford. (1995). Discover: a resource discovery system based on content routing. Computer Networks and ISDN Systems. 27(6). 953–972. 30 indexed citations
8.
Sheldon, Mark A., et al.. (1993). A CONTENT ROUTING SYSTEM FOR DISTRIBUTED INFORMATION SYSTEMS. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
9.
Gifford, David K., Pierre Jouvelot, Mark A. Sheldon, & James W. O’Toole. (1991). Semantic file systems. 16–25. 246 indexed citations
10.
Gifford, David K., Pierre Jouvelot, Mark A. Sheldon, & James W. O’Toole. (1991). Semantic file systems. ACM SIGOPS Operating Systems Review. 25(5). 16–25. 23 indexed citations
11.
Sheldon, Mark A. & David K. Gifford. (1990). Static dependent types for first class modules. 20–29. 8 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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