M. Talib

555 citations
20 papers · 157 · h-index 9

Impact in

Papers in

M. Talib

16 papers receiving 152 citations

Peers

M. Talib
Comparison fields: 5 of 44
  • Computer Networks and Communications 60
  • Computer Vision and Pattern Recognition 42
  • Signal Processing 19
  • Information Systems 32
  • Artificial Intelligence 43
Replace K. V. D. Kiran with:
K. V. D. Kiran India
Sivaraman Eswaran India
Ahmed Salem United States
Raghubir Singh United Kingdom
Chengzu Dong Australia
Abdelrahman H. Hussein Jordan
D. Akila India
K. P. Kaliyamurthie India
M. Venu Gopalachari India
Nikola Ivković Croatia
M. Talib relative to K. V. D. Kiran India K. V. D. Kiran's profile →
Citations per field
00.5×
K. V. D. Kiran · 1×
Citations per year

Countries citing papers authored by M. Talib

Since Specialization
Citations

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

Fields of papers citing papers by M. Talib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside M. Talib, 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 M. Talib Line = papers co-authored together M. Talib links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202036
2 202119
3 202115
4 202114
5 202114
6 202013
7 202110
8 20209
9 20208
10 20217
11 20064
12
Improving the load balance for hybrid partitioning scheme by directing hybrid queries
20082
13 20062
14 20062
15 20241
16 20071
17 20080
18 20250
19 20140
20 20200

About M. Talib

M. Talib is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Sociology and Political Science, having authored 20 papers that have together received 157 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (4 papers), Chaos-based Image/Signal Encryption (4 papers), IoT and Edge/Fog Computing (4 papers), Blockchain Technology Applications and Security (3 papers), Network Security and Intrusion Detection (3 papers), Caching and Content Delivery (2 papers), Cellular Automata and Applications (2 papers) and Vehicular Ad Hoc Networks (VANETs) (2 papers). The work is most often cited by research in Computer Networks and Communications (60 citations), Computer Vision and Pattern Recognition (42 citations), Signal Processing (19 citations), Information Systems (32 citations) and Artificial Intelligence (43 citations). M. Talib has collaborated with scholars based in Papua New Guinea, Malaysia and India. Frequent co-authors include N. Z. Jhanjhi, Kavita Kavita, Sahil Verma, Divya Anand, G. Suseendran, Mamoona Humayun, Vasaki Ponnusamy, Ramanpreet Kaur, Imed Boukhris and Muhammad Noor‐ul‐Amin. Their work appears in journals such as Journal of Islamic Studies, Scientific Reports, International Journal of Innovation Science, Journal of Discrete Mathematical Sciences and Cryptography and Indonesian Journal of Electrical Engineering and Computer 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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