Mark Manulis

2.1k citations
53 papers · 472 indexed · h-index 13

Impact in

Papers in

Mark Manulis

50 papers receiving 437 citations

Peers

Mark Manulis
Comparison fields: 5 of 52
  • Computer Networks and Communications 269
  • Artificial Intelligence 255
  • Information Systems 151
  • Signal Processing 38
  • Computer Vision and Pattern Recognition 37
Replace Melek Önen with:
Melek Önen France
Tianjie Cao China
Mark Linderman United States
Xuyun Nie China
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Citations per field
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Citations per year

Countries citing papers authored by Mark Manulis

Since Specialization
Citations

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

Fields of papers citing papers by Mark Manulis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202089
2 200827
3 200522
4 200719
5 200618
6 200818
7 200817
8 201117
9 201217
10
Proceedings of the International Conference on Cryptology and Network Security
201215
11 201615
12
Transparent mobile storage protection in trusted virtual domains
200914
13 200913
14 202012
15 201211
16 201210
17 201010
18 201610
19 20089
20 20208

About Mark Manulis

Mark Manulis is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 472 indexed citations. Recurring topics across this work include Cryptography and Data Security (29 papers), Advanced Authentication Protocols Security (19 papers), Security in Wireless Sensor Networks (16 papers), User Authentication and Security Systems (14 papers), Cryptographic Implementations and Security (10 papers), Mobile Ad Hoc Networks (7 papers), Coding theory and cryptography (4 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Computer Networks and Communications (269 citations), Artificial Intelligence (255 citations), Information Systems (151 citations), Signal Processing (38 citations) and Computer Vision and Pattern Recognition (37 citations). Mark Manulis has collaborated with scholars based in Germany, United Kingdom and Australia. Frequent co-authors include Emmanuel Bresson, Ahmad‐Reza Sadeghi, R. Harrison, Vyas Sekar, Christopher Bridges, Alexander Davis, Josef Pieprzyk, Jörg Schwenk, Juan Manuel González Nieto and Marc Fischlin. Their work appears in journals such as International Journal of Information Security, The Computer Journal, IEEE Transactions on Services Computing, Future Generation Computer Systems and ACM Transactions on Sensor Networks.

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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