M. Srinivas

3.4k total citations · 1 hit paper
76 papers, 2.5k citations indexed

About

M. Srinivas is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, M. Srinivas has authored 76 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 19 papers in Information Systems and 14 papers in Electrical and Electronic Engineering. Recurrent topics in M. Srinivas's work include Cryptography and Residue Arithmetic (11 papers), Cryptography and Data Security (9 papers) and Catalysis for Biomass Conversion (8 papers). M. Srinivas is often cited by papers focused on Cryptography and Residue Arithmetic (11 papers), Cryptography and Data Security (9 papers) and Catalysis for Biomass Conversion (8 papers). M. Srinivas collaborates with scholars based in India, United States and Egypt. M. Srinivas's co-authors include L.M. Patnaik, B. V. Subba Reddy, N. Lingaiah, P. S. Sai Prasad, J. S. Yadav, Himanshu Thapliyal, G. Raveendra, Eeshwaraiah Begari, Shirish Yakkundi and Yu Rao and has published in prestigious journals such as Tetrahedron, Phytochemistry and Applied Catalysis A General.

In The Last Decade

M. Srinivas

65 papers receiving 2.3k citations

Hit Papers

Genetic algorithms: a survey 1994 2026 2004 2015 1994 500 1000 1.5k

Peers

M. Srinivas
Comparison fields: 5 of 148
  • Artificial Intelligence 641
  • Electrical and Electronic Engineering 425
  • Computer Networks and Communications 384
  • Biomedical Engineering 360
  • Organic Chemistry 334
Amandeep Kaur India
Yanqing Zhang United States
Yanbing Liu China
Huanhuan Chen China
Takashi Washio Japan
Peng Liu China
Martin Nilsson Sweden
Xiaohui Hu China
Fang Wang China
Yu Rong China
Amandeep Kaur India View profile →
Citations per field, relative to M. Srinivas
M. Srinivas · 1×
Citations per year, relative to M. Srinivas
M. Srinivas · 1×

Countries citing papers authored by M. Srinivas

Since Specialization
Citations

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

Fields of papers citing papers by M. Srinivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Srinivas

This figure shows the co-authorship network connecting the top 25 collaborators of M. Srinivas. A scholar is included among the top collaborators of M. Srinivas 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 M. Srinivas. M. Srinivas 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
# Work Indexed citations
1 0
2 0
3 1
4 0
5 3
6 4
7
An Efficient And Privacy Preserving Biometric Authentication Scheme In Cloud Computing
1
8 1
9 0
10 1
11 0
12 18
13 2
14
Selective etherification of glycerol with tert -butanol over 12-tungstophosphoric acid catalysts supported on Y-zeolite
6
15 10
16 1
17 1
18 4
19 29
20 20

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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2026