Milan Vojnović

87 papers receiving 2.8k citations

Hit Papers

Power law and exponential decay of inter contact times be...20072026201320192007100200300

Peers

Milan Vojnović
Comparison fields: 5 of 88
  • Computer Networks and Communications 2.1k
  • Electrical and Electronic Engineering 512
  • Artificial Intelligence 439
  • Information Systems 402
  • Computer Vision and Pattern Recognition 344
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Citations per year

Countries citing papers authored by Milan Vojnović

Since Specialization
Citations

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

Fields of papers citing papers by Milan Vojnović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Vojnović

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models
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4 2
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Communication-Efficient Stochastic Gradient Descent, with Applications to Neural Networks
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QSGD: Communication-Optimal Stochastic Gradient Descent, with Applications to Training Neural Networks
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Parameter estimation for generalized thurstone choice models
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QSGD: Randomized Quantization for Communication-Optimal Stochastic Gradient Descent
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Streaming Min-max hypergraph partitioning
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SerialRank: Spectral Ranking using Seriation
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11 222
12 10
13 0
14 228
15 29
16 2
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Power law and exponential decay of inter contact times between mobile devicesbreakdown →
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19 2
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About Milan Vojnović

Milan Vojnović is a scholar working on Computer Networks and Communications, Management Information Systems and Management Science and Operations Research, having authored 96 papers that have together received 3.0k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (15 papers), Opportunistic and Delay-Tolerant Networks (12 papers) and Peer-to-Peer Network Technologies (11 papers). The work is most often cited by research in Computer Networks and Communications (2.1k citations), Computer Science Applications (244 citations) and Transportation (192 citations). Milan Vojnović has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include J.-Y. Le Boudec, Thomas Karagiannis, Jean‐Yves Le Boudec, Christos Gkantsidis, Laurent Massoulié, Božidar Radunović, Charalampos E. Tsourakakis, Dinan Gunawardena, Ayalvadi Ganesh and Fabian M. Suchanek. Their work appears in journals such as Management Science, Communications of the ACM and The Journal of the Acoustical Society of America.

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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