V. Mani

4.3k citations
83 papers · 3.0k · h-index 29

Impact in

    • Parallel Computing and Optimization Techniques
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

V. Mani

81 papers receiving 2.9k citations

Peers

V. Mani
Comparison fields: 5 of 158
  • Hardware and Architecture 257
  • Immunology 692
  • Computer Networks and Communications 534
  • Industrial and Manufacturing Engineering 198
  • Artificial Intelligence 625
Replace C. Lucas with:
C. Lucas Iran
Thomas Strasser Austria
Yonggang Xu China
Mario Vento Italy
Chi-Sing Leung Hong Kong
Toshiaki Miyazaki Japan
Cheng He China
Yin Yang China
John Thompson United Kingdom
Zhiwei Guo China
V. Mani relative to C. Lucas Iran C. Lucas's profile →
Citations per field
00.5×7.1×
C. Lucas · 1×
Citations per year

Countries citing papers authored by V. Mani

Since Specialization
Citations

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

Fields of papers citing papers by V. Mani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011322
2 2000179
3 2019157
4 2019154
5 2021141
6 2015116
7 2015112
8 1994108
9 2003106
10 197599
11 199891
12 199590
13 201183
14 202080
15 199465
16 200464
17 200462
18 201359
19 199955
20 201253

About V. Mani

V. Mani is a scholar working on Computer Networks and Communications, Artificial Intelligence, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 83 papers that have together received 3.0k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (13 papers), Interconnection Networks and Systems (9 papers), Metaheuristic Optimization Algorithms Research (8 papers), Optimization and Search Problems (7 papers), Distributed and Parallel Computing Systems (7 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Hardware and Architecture (257 citations), Immunology (692 citations), Computer Networks and Communications (534 citations), Industrial and Manufacturing Engineering (198 citations) and Artificial Intelligence (625 citations). V. Mani has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include S.N. Omkar, Debasish Ghose, S. N. Omkar, Ranjan Ganguli, J. K. Kishore, V.K. Agrawal, L.M. Patnaik, Thorsten R. Mempel, Francesco Marangoni and Pei‐Chann Chang. Their work appears in journals such as Computers & Mathematics with Applications, Smart Materials and Structures, Swarm and Evolutionary Computation, Cell and International Journal of Systems Science.

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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