V. Mani

4.3k total citations
83 papers, 3.0k citations indexed

About

V. Mani is a scholar working on Computer Networks and Communications, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, V. Mani has authored 83 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 17 papers in Artificial Intelligence and 17 papers in Industrial and Manufacturing Engineering. Recurrent topics in V. Mani's work include Scheduling and Optimization Algorithms (13 papers), Interconnection Networks and Systems (9 papers) and Metaheuristic Optimization Algorithms Research (8 papers). V. Mani is often cited by papers focused on Scheduling and Optimization Algorithms (13 papers), Interconnection Networks and Systems (9 papers) and Metaheuristic Optimization Algorithms Research (8 papers). V. Mani collaborates with scholars based in India, United States and Taiwan. V. Mani's co-authors include S.N. Omkar, Debasish Ghose, J. Senthilnath, Suresh Sundaram, S. N. Omkar, Bharadwaj Veeravalli, Ranjan Ganguli, L.M. Patnaik, V.K. Agrawal and J. K. Kishore and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

V. Mani

81 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
V. Mani India 29 701 626 534 322 261 83 3.0k
C. Lucas Iran 29 720 1.0× 609 1.0× 186 0.3× 149 0.5× 326 1.2× 153 3.4k
Yin Yang China 47 455 0.6× 2.6k 4.1× 962 1.8× 648 2.0× 349 1.3× 191 6.6k
Péter Galambos Hungary 22 359 0.5× 171 0.3× 105 0.2× 201 0.6× 177 0.7× 137 1.8k
Junichi Suzuki Japan 25 349 0.5× 423 0.7× 508 1.0× 59 0.2× 608 2.3× 284 3.1k
Cen Chen China 29 47 0.1× 695 1.1× 599 1.1× 439 1.4× 331 1.3× 181 3.3k
Bhaskar DasGupta United States 27 159 0.2× 236 0.4× 163 0.3× 203 0.6× 325 1.2× 121 2.3k
Cheng He China 32 116 0.2× 2.0k 3.1× 315 0.6× 338 1.0× 1.6k 6.2× 193 5.4k
Chi-Sing Leung Hong Kong 35 111 0.2× 1.1k 1.8× 385 0.7× 1.0k 3.2× 514 2.0× 247 4.5k
Zhuo Li China 32 39 0.1× 498 0.8× 376 0.7× 1.5k 4.8× 102 0.4× 368 4.4k
Yusuke Nojima Japan 43 728 1.0× 4.2k 6.8× 182 0.3× 240 0.7× 512 2.0× 283 7.4k

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-authorship network of co-authors of V. Mani

This figure shows the co-authorship network connecting the top 25 collaborators of V. Mani. A scholar is included among the top collaborators of V. Mani 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 V. Mani. V. Mani 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
1.
Sundaram, Suresh, V. Mani, S. N. Omkar, & N. Sundararajan. (2023). Multi-Spectral Satellite Image Classification Using an Evolving Neural Network Approach. Journal of Aerospace Sciences and Technologies. 287–304.
2.
Suresh, S., et al.. (2023). Classification of Acoustic Emission Signal Sources Using Genetic Programming. Journal of Aerospace Sciences and Technologies. 32–46.
3.
Marangoni, Francesco, Esteban Carrizosa, Martin Thelen, et al.. (2021). Expansion of tumor-associated Treg cells upon disruption of a CTLA-4-dependent feedback loop. Cell. 184(15). 3998–4015.e19. 132 indexed citations
4.
Mani, V., et al.. (2021). Performance comparison of CNN, QNN and BNN deep neural networks for real-time object detection using ZYNQ FPGA node. Microelectronics Journal. 119. 105319–105319. 30 indexed citations
5.
Bromley, Shannon K., et al.. (2020). CD49a Regulates Cutaneous Resident Memory CD8+ T Cell Persistence and Response. Cell Reports. 32(9). 108085–108085. 71 indexed citations
6.
Mani, V., Shannon K. Bromley, Tarmo Äijö, et al.. (2019). Migratory DCs activate TGF-β to precondition naïve CD8 + T cells for tissue-resident memory fate. Science. 366(6462). 146 indexed citations
7.
Pilato, Mauro Di, Edward Y. Kim, Bruno L. Cadilha, et al.. (2019). Targeting the CBM complex causes Treg cells to prime tumours for immune checkpoint therapy. Nature. 570(7759). 112–116. 151 indexed citations
8.
Marangoni, Francesco, Ruan Zhang, V. Mani, et al.. (2018). Tumor Tolerance–Promoting Function of Regulatory T Cells Is Optimized by CD28, but Strictly Dependent on Calcineurin. The Journal of Immunology. 200(10). 3647–3661. 19 indexed citations
9.
Yeap, Leng-Siew, Joyce K. Hwang, Zhou Du, et al.. (2015). Sequence-Intrinsic Mechanisms that Target AID Mutational Outcomes on Antibody Genes. Cell. 163(5). 1124–1137. 115 indexed citations
10.
Gopalakrishnan, S., et al.. (2014). Frequency Domain Based Solution for Certain Class of Wave Equations: An exhaustive study of Numerical Solutions. Computer Modeling in Engineering & Sciences. 97(2). 131–174. 2 indexed citations
11.
Mani, V., et al.. (2013). Survey of Medical Image Registration. 1(2). 8–25. 59 indexed citations
12.
Chen, Shih-Hsin, et al.. (2012). Multiple parents crossover operators: A new approach removes the overlapping solutions for sequencing problems. Applied Mathematical Modelling. 37(5). 2737–2746. 7 indexed citations
13.
Mani, V., Pei‐Chann Chang, & S-H Chen. (2009). Bi-criteria single machine scheduling problem with a learning effect: Aneja–Nair method to obtain the set of optimal sequences. Computers & Mathematics with Applications. 58(1). 39–47. 6 indexed citations
14.
Suresh, S., et al.. (2005). Parallel Video Processing Using Divisible Load Scheduling Paradigm. Journal of Broadcast Engineering. 10(1). 83–102. 3 indexed citations
15.
Sundaram, Suresh, et al.. (2005). Nonlinear lateral command control using neural network for F-16 aircraft. 40. 2658–2663. 5 indexed citations
16.
Mani, V., et al.. (2003). Divisible load scheduling in single-level tree networks: Optimal sequencing and arrangement in the nonblocking mode of communication. Computers & Mathematics with Applications. 46(10-11). 1611–1623. 12 indexed citations
17.
Sundaram, Suresh, V. Mani, & S. N. Omkar. (2003). The effect of start-up delays in scheduling divisible loads on bus networks: An alternate approach. Computers & Mathematics with Applications. 46(10-11). 1545–1557. 18 indexed citations
18.
Omkar, S. N., et al.. (2003). Acoustic emission signal classification using fuzzy c-means clustering. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 4. 1827–1831. 31 indexed citations
19.
Amini, Amir A., et al.. (1998). Coupled B-snake grids and constrained thin-plate splines for analysis of 2-D tissue deformations from tagged MRI. IEEE Transactions on Medical Imaging. 17(3). 344–356. 91 indexed citations
20.
Veeravalli, Bharadwaj, Debasish Ghose, & V. Mani. (1995). An efficient load distribution strategy for a distributed linear network of processors with communication delays. Computers & Mathematics with Applications. 29(9). 95–112. 23 indexed citations

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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