M Srinath

118 papers receiving 1.9k citations

Peers

M Srinath
Comparison fields: 5 of 124
  • Computer Vision and Pattern Recognition 823
  • Artificial Intelligence 400
  • Control and Systems Engineering 361
  • Global and Planetary Change 275
  • Signal Processing 263
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Citations per year

Countries citing papers authored by M Srinath

Since Specialization
Citations

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

Fields of papers citing papers by M Srinath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Srinath

This figure shows the co-authorship network connecting the top 25 collaborators of M Srinath. A scholar is included among the top collaborators of M Srinath 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 Srinath. M Srinath 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
#WorkIndexed citations
1
Evaluation of Schaefer's production model
0
2 2
3
Stock assessment of Metapenaeus monoceros (Fabricius) from Cochin waters, Kerala
2
4
Empirical relationships to estimate the instantaneous rate of natural mortality
10
5
Modelling and forecasting fish catches : Comparison of regression, univariate and multivariate time series methods
9
6
Exploratory analysis on the predictability of oil sardine landings in Kerala
4
7
Stock assessment of the Indian squid Loligo duvauceli Orbigny
10
8
Stock assessment of the pharaoh cuttleflsh Sepia pharaonis Ehrenberg
5
9
Stock assessment of the needle cuttlefish Sepia aculeata Orbigny
3
10
Catch-effort relationship in Pacific bigeye tuna fishery
2
11
Stock assessment of silverbellies of India with particular reference to Andhra Pradesh and Tamil Nadu
9
12
Stock assessment of threadfin breams (Nemipterus spp.) of India
17
13
Stock assessment of marine catfishes of India
2
14
Stock assessment of Scomberomorus commersan along the Indian coast
5
15 0
16 5
17
A simple method of estimation of mortality
0
18
Forecasting marine product exports time-Series analysis
3
19
A method of estimation of mortality rates fromLength samples
4
20
Marine fish landings in India —Estimates and precision
2

About M Srinath

M Srinath is a scholar working on Aquatic Science, General Agricultural and Biological Sciences and Computer Vision and Pattern Recognition, having authored 132 papers that have together received 2.1k indexed citations. Recurring topics across this work include Fish Biology and Ecology Studies (20 papers), Marine and fisheries research (19 papers) and Fisheries and Aquaculture Studies (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (823 citations), Aquatic Science (192 citations) and Signal Processing (263 citations). M Srinath has collaborated with scholars based in United States, India and Malaysia. Frequent co-authors include Lalit Gupta, R. Viswanathan, P. Rajasekaran, S.S. Soliman, Somy Kuriakose, M.A.L. Thathachar, E Vivekanandan, Jun Yu, A. Khotanzad and Mahesh Viswanathan. Their work appears in journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Journal of Physical Chemistry B.

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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