Ram Krishnan

2.1k citations
60 papers · 758 · h-index 17

Impact in

Papers in

Ram Krishnan

58 papers receiving 714 citations

Peers

Ram Krishnan
Comparison fields: 5 of 61
  • Information Systems 421
  • Signal Processing 184
  • Artificial Intelligence 403
  • Computer Networks and Communications 272
  • Sociology and Political Science 353
Replace Paul A. Karger with:
Paul A. Karger United States
Eric Yuan United States
Jianwei Niu United States
Michele Bugliesi Italy
Stuart G. Stubblebine United States
Stelvio Cimato Italy
Xiaojing Liao United States
Ahmed Aleroud United States
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Citations per field
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Citations per year

Countries citing papers authored by Ram Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Ram Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016125
2 201379
3 201851
4
Time series forecasting of cloud data center workloads for dynamic resource provisioning
201538
5 201331
6 200928
7 201624
8 201723
9 201319
10 200919
11 201118
12 202217
13 200916
14 202116
15 201416
16 201216
17 200716
18 201514
19 201013
20 201511

About Ram Krishnan

Ram Krishnan is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Computer Networks and Communications and Signal Processing, having authored 60 papers that have together received 758 indexed citations. Recurring topics across this work include Access Control and Trust (36 papers), Security and Verification in Computing (20 papers), Cryptography and Data Security (19 papers), Cloud Data Security Solutions (12 papers), Internet Traffic Analysis and Secure E-voting (10 papers), Cloud Computing and Resource Management (8 papers), Network Security and Intrusion Detection (8 papers) and Advanced Malware Detection Techniques (7 papers). The work is most often cited by research in Information Systems (421 citations), Signal Processing (184 citations), Artificial Intelligence (403 citations), Computer Networks and Communications (272 citations) and Sociology and Political Science (353 citations). Ram Krishnan has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Ravi Sandhu, Jianwei Niu, William H. Winsborough, Mahmoud Abdelsalam, Rocky Slavin, Mitra Bokaei Hosseini, James Hester, Xiaoyin Wang, Jaspreet Bhatia and Travis D. Breaux. Their work appears in journals such as Information Systems Frontiers, ACM Transactions on Information and System Security, BMC Medical Informatics and Decision Making, Automatica and Computer.

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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