Martin May

3.9k citations
73 papers · 2.9k · h-index 28

Impact in

Papers in

Martin May

70 papers receiving 2.7k citations

Peers

Martin May
Comparison fields: 5 of 65
  • Computer Networks and Communications 2.7k
  • Management Information Systems 258
  • Transportation 136
  • Electrical and Electronic Engineering 765
  • Artificial Intelligence 369
Replace Esa Hyytiä with:
Esa Hyytiä Finland
Chadi Barakat France
Atilla Eryılmaz United States
Milind Madhav Buddhikot United States
Ramakrishna Gummadi United States
Luciano Lenzini Italy
Yuchung Cheng United States
Sridhar Machiraju United States
Lazaros F. Merakos Greece
M. Naghshineh United States
Martin May relative to Esa Hyytiä Finland Esa Hyytiä's profile →
Citations per field
00.5×2×3.1×
Esa Hyytiä · 1×
Citations per year

Countries citing papers authored by Martin May

Since Specialization
Citations

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

Fields of papers citing papers by Martin May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002284
2 2010237
3 2010217
4 2003192
5 2006150
6 2007124
7 2009122
8 1999110
9 2007109
10 200287
11 200877
12 200176
13 200670
14 201064
15 200662
16 200654
17 201653
18 200551
19 200551
20 200750

About Martin May

Martin May is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Transportation, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 73 papers that have together received 2.9k indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (32 papers), Mobile Ad Hoc Networks (28 papers), Caching and Content Delivery (24 papers), Network Traffic and Congestion Control (17 papers), Wireless Networks and Protocols (15 papers), Cooperative Communication and Network Coding (8 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). The work is most often cited by research in Computer Networks and Communications (2.7k citations), Management Information Systems (258 citations), Transportation (136 citations), Electrical and Electronic Engineering (765 citations) and Artificial Intelligence (369 citations). Martin May has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Vincent Lenders, Christophe Diot, Jean C. Bolot, Bernhard Plattner, Thomas Bonald, Gunnar Karlsson, Daniela Brauckhoff, Abderrahmen Mtibaa, Mostafa Ammar and Marco Conti. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, IEEE Communications Magazine, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Multimedia and Pervasive and Mobile Computing.

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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