Daniel Sturman

2.1k citations
14 papers · 1.0k · h-index 11

Impact in

    • Peer-to-Peer Network Technologies
    • Caching and Content Delivery
    • Distributed systems and fault tolerance
    • Distributed and Parallel Computing Systems
    • Advanced Database Systems and Queries
    • Advanced Data Storage Technologies
    • Data Management and Algorithms

Papers in

Daniel Sturman

14 papers receiving 880 citations

Peers

Daniel Sturman
Comparison fields: 5 of 34
  • Computer Networks and Communications 936
  • Signal Processing 135
  • Hardware and Architecture 73
  • Information Systems 216
  • Artificial Intelligence 162
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Daniel Sturman relative to Mark Astley United States Mark Astley's profile →
Citations per field
00.5×
Mark Astley · 1×
Citations per year

Countries citing papers authored by Daniel Sturman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sturman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Daniel Sturman, 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 Daniel Sturman Line = papers co-authored together Daniel Sturman links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1999412
2 2003267
3 2000112
4 199358
5 200336
6 200229
7 200426
8
Modular specification of interaction policies in distributed computing
199626
9 200216
10 200614
11 200013
12
Brief Announcement:Subscription Propagation and Content-Based Routing with Delivery Guarantees
20052
13
A Protocol Description Language for Customizing Semantics.
19941
14 20241

About Daniel Sturman

Daniel Sturman is a scholar working on Computer Networks and Communications, Sociology and Political Science, Information Systems, Hardware and Architecture and Artificial Intelligence, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (9 papers), Caching and Content Delivery (6 papers), Distributed systems and fault tolerance (6 papers), Advanced Data Storage Technologies (4 papers), Distributed and Parallel Computing Systems (3 papers), Parallel Computing and Optimization Techniques (2 papers), Access Control and Trust (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Computer Networks and Communications (936 citations), Signal Processing (135 citations), Hardware and Architecture (73 citations), Information Systems (216 citations) and Artificial Intelligence (162 citations). Daniel Sturman has collaborated with scholars based in United States, Saudi Arabia and Brazil. Frequent co-authors include Tushar Chandra, Robert E. Strom, Mark Astley, Marcos K. Aguilera, Guruduth Banavar, Rob Strom, Gul Agha, Joshua Auerbach, Yuanyuan Zhao and Qixiang Sun. Their work appears in journals such as 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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