Sam Shah

956 citations
35 papers · 735 · h-index 13

Impact in

    • Cloud Computing and Resource Management
    • Recommender Systems and Techniques
    • Software System Performance and Reliability
    • Advanced Data Storage Technologies
    • Network Security and Intrusion Detection
    • Caching and Content Delivery
    • Advanced Database Systems and Queries
    • Distributed systems and fault tolerance

Papers in

Sam Shah

34 papers receiving 693 citations

Peers

Sam Shah
Comparison fields: 5 of 82
  • Information Systems 386
  • Computer Networks and Communications 383
  • Health Informatics 17
  • Information Systems and Management 57
  • Software 26
Replace Mohammad Kazem Akbari with:
Mohammad Kazem Akbari Iran
Kamran Sartipi Canada
Adriano Bessa Albuquerque Brazil
Adel Taweel United Kingdom
Edward Rolando Núñez‐Valdéz Spain
Mohammed Odeh United Kingdom
Colin Tankard United States
Hasan Kahtan Malaysia
Rabiah Ahmad Malaysia
Raghunath Othayoth Nambiar United States
Sam Shah relative to Mohammad Kazem Akbari Iran Mohammad Kazem Akbari's profile →
Citations per field
00.5×1.5×2.1×
Mohammad Kazem Akbari · 1×
Citations per year

Countries citing papers authored by Sam Shah

Since Specialization
Citations

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

Fields of papers citing papers by Sam Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sam Shah, 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 Sam Shah Line = papers co-authored together Sam Shah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012125
2 2013102
3 2013102
4 202261
5 201456
6 201351
7
Using provenance to aid in personal file search
200738
8 201425
9 201222
10
The Browsemaps: Collaborative Filtering at LinkedIn
201420
11 201217
12 201317
13 201614
14 201313
15
Pharyngitis and sore throat: A review
201111
16 20008
17 20078
18
Using Set Cover to Optimize a Large-Scale Low Latency Distributed Graph
20137
19 20205
20 20144

About Sam Shah

Sam Shah is a scholar working on Information Systems, Computer Networks and Communications, General Health Professions, Statistical and Nonlinear Physics and Health Information Management, having authored 35 papers that have together received 735 indexed citations. Recurring topics across this work include Dental Education, Practice, Research (5 papers), Advanced Database Systems and Queries (4 papers), Recommender Systems and Techniques (4 papers), Peer-to-Peer Network Technologies (4 papers), Complex Network Analysis Techniques (4 papers), Cloud Computing and Resource Management (3 papers), Topic Modeling (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Information Systems (386 citations), Computer Networks and Communications (383 citations), Health Informatics (17 citations), Information Systems and Management (57 citations) and Software (26 citations). Sam Shah has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Roshan Sumbaly, Jay Kreps, Myunghwan Kim, Lei Gao, Chinmay Soman, Matthew W. Hayes, Brian D. Noble, Gregory R. Ganger, Craig A. N. Soules and Hyungjin Kim. Their work appears in journals such as BDJ, npj Digital Medicine, Community Dental Health, Software Practice and Experience and Proceedings of the VLDB Endowment.

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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