Daniel Kofman

1.4k citations
30 papers · 848 · h-index 9

Impact in

Papers in

Daniel Kofman

27 papers receiving 787 citations

Peers

Daniel Kofman
Comparison fields: 5 of 51
  • Computer Networks and Communications 567
  • Automotive Engineering 156
  • Electrical and Electronic Engineering 561
  • Management Information Systems 77
  • Transportation 23
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Oliver Yang Canada
Ben‐Jye Chang Taiwan
Louiza Bouallouche‐Medjkoune Algeria
Ahmed Q. Lawey United Kingdom
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Raffaele Bruno Italy
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Citations per year

Countries citing papers authored by Daniel Kofman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kofman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004322
2 2015181
3 2007177
4 200540
5 199915
6 200013
7 199511
8 199311
9 19968
10 20068
11 19967
12 20206
13 20056
14 20156
15 20075
16 20085
17 20064
18 19964
19 20034
20
Stochastic Petri Net Modeling of the FDDI Network Protocol
19913

About Daniel Kofman

Daniel Kofman is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Management Information Systems, Management Science and Operations Research and Mathematical Physics, having authored 30 papers that have together received 848 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (12 papers), Advanced Queuing Theory Analysis (10 papers), Advanced Wireless Network Optimization (6 papers), Advanced Optical Network Technologies (6 papers), Wireless Communication Networks Research (5 papers), Probability and Risk Models (5 papers), Software-Defined Networks and 5G (5 papers) and Interconnection Networks and Systems (4 papers). The work is most often cited by research in Computer Networks and Communications (567 citations), Automotive Engineering (156 citations), Electrical and Electronic Engineering (561 citations), Management Information Systems (77 citations) and Transportation (23 citations). Daniel Kofman has collaborated with scholars based in France, United States and Israel. Frequent co-authors include Catherine Rosenberg, François Baccelli, Vivek P. Mhatre, Ravi R. Mazumdar, Ness B. Shroff, Huong Q. Nguyen, Grégory Mermoud, Luigi Iannone, Aline Carneiro Viana and Mehmet Şükrü Kuran. Their work appears in journals such as Performance Evaluation, Journal of Applied Probability, Queueing Systems, IEEE Transactions on Communications and IEEE Journal on Selected Areas in Communications.

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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