Ivan D. Baev

402 citations
10 papers · 294 · h-index 5

Impact in

    • Caching and Content Delivery
    • Opportunistic and Delay-Tolerant Networks
    • Peer-to-Peer Network Technologies
    • Cooperative Communication and Network Coding
    • Mobile Ad Hoc Networks
    • Optimization and Search Problems
    • Parallel Computing and Optimization Techniques

Papers in

Ivan D. Baev

10 papers receiving 274 citations

Peers

Ivan D. Baev
Comparison fields: 5 of 21
  • Computer Networks and Communications 276
  • Hardware and Architecture 37
  • Organizational Behavior and Human Resource Management 18
  • Information Systems 38
  • Industrial and Manufacturing Engineering 17
Replace R. Rajan with:
R. Rajan United States
José Augusto Suruagy Monteiro Brazil
Josué Kuri France
Fabien Hermenier France
Alexander Kesselman Israel
Satoru Ohta Japan
Guillaume Aupy France
Christoph Albrecht Germany
Daniel Cordeiro Brazil
Pascal Gallard France
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Countries citing papers authored by Ivan D. Baev

Since Specialization
Citations

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

Fields of papers citing papers by Ivan D. Baev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan D. Baev. 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 Ivan D. Baev. The network helps show where Ivan D. Baev may publish in the future.

Co-authors

The 6 scholars most cited alongside Ivan D. Baev, 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 Ivan D. Baev Line = papers co-authored together Ivan D. Baev links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown

About Ivan D. Baev

Ivan D. Baev is a scholar working on Computer Networks and Communications, Hardware and Architecture, Industrial and Manufacturing Engineering, Artificial Intelligence and Organizational Behavior and Human Resource Management, having authored 10 papers that have together received 294 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Embedded Systems Design Techniques (4 papers), Scheduling and Optimization Algorithms (3 papers), Interconnection Networks and Systems (3 papers), Distributed and Parallel Computing Systems (3 papers), Advanced Data Storage Technologies (2 papers), Caching and Content Delivery (2 papers) and Facility Location and Emergency Management (1 paper). The work is most often cited by research in Computer Networks and Communications (276 citations), Hardware and Architecture (37 citations), Organizational Behavior and Human Resource Management (18 citations), Information Systems (38 citations) and Industrial and Manufacturing Engineering (17 citations). Ivan D. Baev has collaborated with scholars based in United States. Frequent co-authors include Rajmohan Rajaraman, Chaitanya Swamy, Waleed Meleis, Alexandre E. Eichenberger, Santosh G. Abraham and Richard E. Hank. Their work appears in journals such as SIAM Journal on Computing, IEEE Transactions on Computers, International Journal of Parallel Programming, Information Processing Letters and Symposium on Discrete Algorithms.

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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